10,684 results
Search Results
2. Documentation and Treatment of Intraoperative Hypotension: Electronic Anesthesia Records versus Paper Anesthesia Records
- Author
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Shear, Torin D., Deshur, Mark, Lapin, Brittany, Greenberg, Steven B., Murphy, Glenn S., Szokol, Joseph, Ujiki, Michael, Newmark, Rebecca, Benson, Jessica, Koress, Cody, Dwyer, Connor, and Vender, Jeffery
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- 2017
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- View/download PDF
3. Applications of Paper and Interactive Prototypes in Designing Telecare Services for Older Adults
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Duh, Emilija Stojmenova, Guna, Jože, Pogačnik, Matevž, and Sodnik, Jaka
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- 2016
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4. Why do Belgian Community Pharmacists Still Treat Electronic Prescriptions as Paper-Based?
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Van Laere, Sven, Cornu, Pieter, Dreesen, Evy, Lenie, Jan, and Buyl, Ronald
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- 2019
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5. A Commentary on Process Improvements to Reduce Manual Tasks and Paper at Covid-19 Mass Vaccination Points of Dispensing in California
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Eric G, Yan and Noam H, Arzt
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Health Information Management ,Vaccination ,COVID-19 ,Humans ,Medicine (miscellaneous) ,Health Informatics ,Child ,Mass Vaccination ,California ,Information Systems - Abstract
My Turn is software used to manage several Covid-19 mass vaccination campaigns in California. The objective of this article is to describe the use of My Turn at two points of dispensing in California and comment on process improvements to reduce manual tasks of six identified processes of vaccination-registration, scheduling, administration, documentation, follow-up, and digital vaccine record-and paper. We reviewed publicly available documents of My Turn and patients vaccinated at George R. Moscone Convention Center in San Francisco and Oakland Coliseum Community Vaccination Clinic. For publicly available documents of My Turn, we examined videos of My Turn on YouTube, and documentation from EZIZ, the website for the California Vaccines for Children Program. For patients, we examined publicly available vaccination record cards on Instagram and Google. At the George R. Moscone Convention Center, 329,608 vaccines doses were given. At the Oakland Coliseum Community Vaccination Clinic, more than 500,000 vaccine doses were administered. The use of My Turn can be used to reduce manual tasks and paper for mass vaccinating patients against Covid-19.
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- 2022
6. Usability Evaluation of Paper-based “Hajji” Health Record Format
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Shaker, Hani Abdulsattar and Farooq, Mian Usman
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- 2012
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7. Editorial for Special Issue: ACM IHI 2010 Best Papers
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Andrade, Henrique and Smalheiser, Neil
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- 2011
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8. Documentation and Treatment of Intraoperative Hypotension: Electronic Anesthesia Records versus Paper Anesthesia Records
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Jessica Benson, Mark A. Deshur, Michael B. Ujiki, Steven Greenberg, Cody Koress, Jeffery S. Vender, Rebecca L. Newmark, Torin Shear, Joseph W. Szokol, Brittany Lapin, Connor Dwyer, and Glenn S. Murphy
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medicine.medical_specialty ,Population ,Medicine (miscellaneous) ,Blood Pressure ,Health Informatics ,Documentation ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Health Information Management ,Blood loss ,030202 anesthesiology ,Negatively associated ,Monitoring, Intraoperative ,medicine ,Humans ,Anesthesia ,education ,education.field_of_study ,Intraoperative Care ,business.industry ,Multivariable regression analysis ,Incidence (epidemiology) ,Single surgeon ,Surgery ,Blood pressure ,Anesthetic ,Hypotension ,business ,Information Systems ,medicine.drug - Abstract
In this study, we examined anesthetic records before and after the implementation of an electronic anesthetic record documentation (AIMS) in a single surgical population. The purpose of this study was to identify any inconsistencies in anesthetic care based on handwritten documentation (paper) or AIMS. We hypothesized that the type of anesthetic record (paper or AIMS) would lead to differences in the documentation and management of hypotension. Consecutive patients who underwent esophageal surgery between 2009 and 2014 by a single surgeon were eligible for the study. Patients were grouped in to `paper' or `AIMS' based on the type of anesthetic record identified in the chart. Pertinent patient identifiers were removed and data collated after collection. Predetermined preoperative and intraoperative data variables were reviewed. Consecutive esophageal surgery patients (N = 189) between 2009 and 2014 were evaluated. 92 patients had an anesthetic record documented on paper and 97 using AIMS. The median number of unique blood pressure recordings was lower in the AIMS group (median (Q1,Q3) AIMS 30.0 (24.0, 39.0) vs. Paper 35.0 (28.5, 43.5), p < 0.01). However, the median number of hypotensive events (HTEs) was higher in the AIMS group (median (Q1,Q3) 8.0 (4.0, 18.0) vs. 4.0 (1.0, 10.5), p < 0.001), and the percentage of HTEs per blood pressure recording was higher in the AIMS group (30.4 ((Q1, Q3) (9.5, 60.9)% vs. 12.5 (2.4, 27.5)%), p < 0.01). Multivariable regression analysis identified independent predictors of HTEs. The incidence of HTEs was found to increase with AIMS (IRR = 1.88, p < 0.01). Preoperative systolic blood pressure, increased blood loss, and phenylephrine. A phenylephrine infusion was negatively associated with hypotensive events (IRR = 0.99, p = 0.03). We noted an increased incidence of HTEs associated with the institution of an AIMS. Despite this increase, no change in medical therapy for hypotension was seen. AIMS did not appear to have an effect on the management of intraoperative hypotension in this patient population.
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- 2017
9. Position paper: Telemedicine effects: Cost, quality, and access
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Bashshur, Rashid L. and Grigsby, Jim
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- 1995
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10. Applications of Paper and Interactive Prototypes in Designing Telecare Services for Older Adults
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Jože Guna, Jaka Sodnik, Matevž Pogačnik, and Emilija Stojmenova Duh
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Male ,Service (systems architecture) ,Telemedicine ,Health Status ,Slovenia ,Applied psychology ,Medicine (miscellaneous) ,Health Informatics ,Sample (statistics) ,computer.software_genre ,Health informatics ,User-Computer Interface ,03 medical and health sciences ,0302 clinical medicine ,Health Information Management ,Participatory design ,Homes for the Aged ,Humans ,0501 psychology and cognitive sciences ,030212 general & internal medicine ,050107 human factors ,Aged ,Aged, 80 and over ,Multimedia ,business.industry ,Telecare ,05 social sciences ,Middle Aged ,Home Care Services ,Nursing Homes ,Female ,Independent Living ,Nursing homes ,business ,Psychology ,computer ,Independent living ,Information Systems - Abstract
We present the results of the user studies of the CareMe prototype telecare service for supporting older adults with remote telecare services. The CareMe solution targets older adults who are capable of living independently and outside of a dedicated medical institution or a nursing home, but require occasional medical attention, and formal or informal care. The studies were conducted between November 2013 and March 2014 and followed the participatory design approach. The research questions focused on understanding the difference in the participatory design approach when older adults use paper prototypes vs interactive prototypes, and the difference when older adults use interactive prototypes with poor interface design vs interactive prototypes with rich interface design. In total, 45 older adults living in Slovenia participated in the field trial. They were retired, 32 of whom were nursing home residents and 13 were living independently at home. The study sample's age distribution was between 64 and 91 years. The analysis of the filed trial results indicated the importance of the factors that influence users' decision about how and when they use new technology, i.e., the perceived usefulness and the perceived ease-of-use. Main insights gained from the studies show, that it is very difficult to keep older people focused on the topics of discussion and that they have often difficulties to clearly present/express their ideas. Furthermore, abstract concepts, such as paper only prototypes proved to be challenging to cope with, whereas using real applications and services when trying out scenarios using interactive prototypes provided much better experience and feedback.
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- 2016
11. Position paper: telemedicine effects: cost, quality, and access
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Jim Grigsby and Rashid L. Bashshur
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Telemedicine ,Multimedia ,business.industry ,media_common.quotation_subject ,MEDLINE ,Medicine (miscellaneous) ,Health Informatics ,computer.software_genre ,Health informatics ,Health Services Accessibility ,Health Information Management ,Costs and Cost Analysis ,Medicine ,Position paper ,Humans ,Quality (business) ,business ,computer ,Information Systems ,media_common ,Quality of Health Care - Published
- 1995
12. Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging.
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Zerouaoui, Hasnae and Idri, Ali
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BREAST tumor diagnosis ,ALGORITHMS ,MAMMOGRAMS ,BREAST tumors ,DECISION support systems ,DECISION trees ,DIAGNOSTIC imaging ,DIGITAL image processing ,MACHINE learning ,MAGNETIC resonance imaging ,MEDLINE ,ARTIFICIAL neural networks ,ONLINE information services ,RESEARCH funding ,SYSTEMATIC reviews ,RESEARCH bias ,SUPPORT vector machines ,DESCRIPTIVE statistics ,COMPUTER-aided diagnosis ,DEEP learning - Abstract
Breast cancer (BC) is the leading cause of death among women worldwide. It affects in general women older than 40 years old. Medical images analysis is one of the most promising research areas since it provides facilities for diagnosis and decision-making of several diseases such as BC. This paper conducts a Structured Literature Review (SLR) of the use of Machine Learning (ML) and Image Processing (IP) techniques to deal with BC imaging. A set of 530 papers published between 2000 and August 2019 were selected and analyzed according to ten criteria: year and publication channel, empirical type, research type, medical task, machine learning techniques, datasets used, validation methods, performance measures and image processing techniques which include image pre-processing, segmentation, feature extraction and feature selection. Results showed that diagnosis was the most used medical task and that Deep Learning techniques (DL) were largely used to perform classification. Furthermore, we found out that classification was the most ML objective investigated followed by prediction and clustering. Most of the selected studies used Mammograms as imaging modalities rather than Ultrasound or Magnetic Resonance Imaging with the use of public or private datasets with MIAS as the most frequently investigated public dataset. As for image processing techniques, the majority of the selected studies pre-process their input images by reducing the noise and normalizing the colors, and some of them use segmentation to extract the region of interest with the thresholding method. For feature extraction, we note that researchers extracted the relevant features using classical feature extraction techniques (e.g. Texture features, Shape features, etc.) or DL techniques (e. g. VGG16, VGG19, ResNet, etc.), and finally few papers used feature selection techniques in particular the filter methods. [ABSTRACT FROM AUTHOR]
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- 2021
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13. Editorial for special issue: ACM IHI 2010 best papers
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Henrique Andrade and Neil R. Smalheiser
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Internationality ,business.industry ,Research areas ,Research ,Medicine (miscellaneous) ,International health ,Library science ,Health Informatics ,Special Interest Group ,Congresses as Topic ,Health informatics ,Original research ,Health Information Management ,Political science ,business ,Medical Informatics ,Information Systems ,Medical systems - Abstract
The ACM IHI 2010 conference took place in Arlington, Virginia during November 11 and 12. This special issue includes 9 contributions, showcasing extended versions of the conference best papers as well as the best and most representative papers of the different areas covered by the conference. It is a pleasure to write the introduction to this special issue of Springer’s Journal of Medical Systems. Dr Smalheiser and I were the two program committee cochairs for the 2010 ACM International Health Informatics Symposium (IHI 2010), the inaugural event for the new ACM Special Interest Group on Health Informatics (SIGHIT). IHI 2010 included a very diverse set of papers drawn from 246 submitted contributions, with authors from more than 30 countries. The conference, held in November 2010, featured oral as well as poster presentations of a subset of those contributed papers. Nine of these papers were selected as being the best examples of the type of research contributions that should become the hallmark of IHI in the years to come, but they also embody some of the most exciting research carried out by the lively community that supports both IHI and SIGHIT. This JOMS issue includes longer versions of these nine papers, which allowed the authors to considerably expand the papers and add additional information concerning their original research. It was also our aim to cover some of the most representative research areas seen during the conference. Therefore, it is our privilege to welcome you to read the following papers
- Published
- 2011
14. Auditing The Completeness and Legibility of Computerized Radiological Request Forms.
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Muallem, Yahya Al, Dogether, Majed Al, Househ, Mowafa, and Saddik, Basema
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Certain Saudi healthcare organizations transfer outpatients to medical imaging departments for radiological examinations in a manual process that relies on the use of paper-based forms. With the increased implementation of electronic medical records in Saudi Hospitals, little is known about the completeness and legibility of information captured in electronic-based medical imaging forms. The purpose of this study is to audit the completeness and legibility of medical imaging paper-based forms in comparison with electronic-based medical imaging forms. As a secondary objective, we also examined the number of errors found on the forms. An observational retrospective cross-sectional study was utilized to audit the completeness and legibility of both paper and electronic forms collected between March 1 and May 15, 2015. The study measured the association among categorical variables using Chi-Square analysis. The results of this investigation show a significant association between form completion and type of record (i.e., paper vs. electronic) where electronic-based systems were found to be more complete than paper-based records. Electrnoic based records were also found to improve form legibility, promote user adherence to complete the forms and minimize entry errors. In conclusion, electronic-based medical imaging forms are more complete and legible than paper based forms. Future studies should evaluate other hospitals and compare both legibility and completeness of electronic-based medical imaging forms and conduct usability evaluation studies with users to explore the impacts of system design on both completeness and legibility of electronic forms, in general, but more specifically, electronic-based medical imaging forms. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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15. Mobile Triage Applications: A Systematic Review in Literature and Play Store.
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Montano, Isabel Herrera, de la Torre Díez, Isabel, López-Izquierdo, Raúl, Villamor, Miguel A. Castro, and Martín-Rodríguez, Francisco
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ONLINE information services ,MEDICAL triage ,CONFIDENCE intervals ,MOBILE apps ,MEDICAL emergencies ,DESCRIPTIVE statistics ,RESEARCH funding ,MEDLINE ,PAIN catastrophizing ,ODDS ratio ,TELEMEDICINE - Abstract
The main objective of this paper is to review and analysis of the state of the art regarding triage applications (apps) for health emergencies. This research is based on a systematic review of the literature in scientific databases from 2010 to early 2021, following a prism methodology. In addition, a Google Play Store search of the triage apps found in the literature was performed for further evaluation. A total of 26 relevant papers were obtained for this study, of which 13 apps were identified. After searching for each of these apps in the Google Play Store platform, only 2 of them were obtained, and these were subsequently evaluated together with another app obtained from the link provided in the corresponding paper. In the analysis carried out, it was detected that from 2019 onwards there has been an increase in research interest in this area, since the papers obtained from this year onwards represent 38.5% of the relevant papers. This increase may be caused by the need for early selection of the most serious patients in such difficult times for the health service. According to the review carried out, an increase in mobile app research focused on Emergency Triage and a decrease in app studies for triage catastrophe have been identified. In this study it was also observed that despite the existence of many researches in this sense, only 3 apps contained in them are accessible. "TRIAGIST" does not allow the entry of an unidentified user, "Major Trauma Triage Tool" presents negative comments from users who have used it and "ESITriage" lacks updates to improve its performance. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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16. Graph-Representation of Patient Data: a Systematic Literature Review.
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Schrodt, Jens, Dudchenko, Aleksei, Knaup-Gregori, Petra, and Ganzinger, Matthias
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CONCEPTUAL structures ,DATABASE management ,DATABASES ,GRAPHIC arts ,MEDLINE ,DATA mining ,SYSTEMATIC reviews ,ELECTRONIC health records ,DESCRIPTIVE statistics - Abstract
Graph theory is a well-established theory with many methods used in mathematics to study graph structures. In the field of medicine, electronic health records (EHR) are commonly used to store and analyze patient data. Consequently, it seems straight-forward to perform research on modeling EHR data as graphs. This systematic literature review aims to investigate the frontiers of the current research in the field of graphs representing and processing patient data. We want to show, which areas of research in this context need further investigation. The databases MEDLINE, Web of Science, IEEE Xplore and ACM digital library were queried by using the search terms health record, graph and related terms. Based on the "Preferred Reporting Items for Systematic Reviews and Meta-Analysis" (PRISMA) statement guidelines the articles were screened and evaluated using full-text analysis. Eleven out of 383 articles found in systematic literature review were finally included for analysis in this literature review. Most of them use graphs to represent temporal relations, often representing the connection among laboratory data points. Only two papers report that the graph data were further processed by comparing the patient graphs using similarity measurements. Graphs representing individual patients are hardly used in research context, only eleven papers considered such kind of graphs in their investigations. The potential of graph theoretical algorithms, which are already well established, could help increasing this research field, but currently there are too few papers to estimate how this area of research will develop. Altogether, the use of such patient graphs could be a promising technique to develop decision support systems for diagnosis, medication or therapy of patients using similarity measurements or different kinds of analysis. [ABSTRACT FROM AUTHOR]
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- 2020
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17. Usability Evaluation of Paper-based “Hajji” Health Record Format
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Shaker, Hani Abdulsattar, primary and Farooq, Mian Usman, additional
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- 2010
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18. Introduction to the papers on computer-assisted instruction in nursing
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Lamie, Edward L.
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- 1986
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19. Student paper competition focuses on medical informatics
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- 1984
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20. Within Clinic Reliability and Usability of a Voice-Based Amazon Alexa Administration of the Patient Health Questionnaire 9 (PHQ 9)
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Beaman, Jason, Lawson, Luke, Keener, Ashley, and Mathews, Michael L.
- Abstract
Over the last two decades, metric-based instruments have garnered popularity in mental health. Self-administered surveys, such as the Patient Health Questionnaire 9 (PHQ 9), have been leveraged to inform treatment practice of Major Depressive Disorder (MDD). The aim of this study was to measure the reliability and usability of a novel voice-based delivery system of the PHQ 9 using Amazon Alexa within a patient population. Forty-one newly admitted patients to a behavioral medicine clinic completed the PHQ 9 at two separate time points (first appointment and one-month follow up). Patients were randomly assigned to a version (voice vs paper) completing the alternate format at the next appointment. Patients additionally completed a 26-item User Experience Questionnaire (UEQ) and open-ended questionnaire at each session. Assessments between PHQ 9 total scores for the Alexa and paper version showed a high degree of reliability (α =.86). Quantitative UEQ results showed significantly higher overall positive attitudes towards the Alexa format with higher subscale scores on attractiveness, stimulation, and novelty. Further qualitative responses supported these findings with 85.7% of participants indicating a willingness to use the device at home. With the benefit of user instruction in a clinical environment, the novel Alexa delivery system was shown to be consistent with the paper version giving evidence of reliability between the two formats. User experience assessments further showed a preference for the novel version over the traditional format. It is our hope that future studies may examine the efficacy of the Alexa format in improving the at-home clinical treatment of depression. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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21. Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery.
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Herrera Montano, Isabel, Presencio Lafuente, Elena, Breñosa Martínez, Jose, Ortega Mansilla, Arturo, Torre Díez, Isabel de la, and Río-Solá, María Lourdes Del
- Abstract
Objective: The objective of this paper is to review and analyze the current state of telemedicine and ehealth in the field of vascular surgery. Methods: This paper collects the relevant information obtained after reviewing the articles related to telemedicine in vascular surgery, published from 2012 to 2022 contained in scientific databases. In addition, the results obtained are statistically studied based on various factors, such as the year of publication or the search engine. In this way, we obtain a complete vision of the current state of telemedicine in the field of vascular surgery. Results: After performing this search and applying selection criteria, 29 articles were obtained for subsequent study and discussion, of which 20 were published in the second half of the decade, representing 70% of the results. In the analysis carried out according to the search criteria used, it can be seen that using the word telemedicine we obtained 69% of the articles while with the criteria mHealth and eHealth we only obtained 22% and 9% of the results, respectively. It can be seen that the filter with the most potential content articles was “vascular surgery AND telemedicine”. In the analysis performed according to the search engine, it was observed that the Google Scholar database contains 93% of the articles found in the massive search and the relevant articles contained therein represent 52% of the total. Conclusion: An upward trend has been observed in recent years, with a clear increase in the number of publications and much lower figures in the first years. One aspect to highlight is that 47.8% of the articles analyzed focus only on postoperative treatment, which may be due to the help provided by telemedicine in detecting surgical site infections by sending images and videos, this being one of the most common postoperative complications. The analyzed works show the importance of telemedicine in vascular surgery and identify possible future lines of research. In the analysis carried out on the origin of the selected relevant papers, an important interest of the US in this topic is demonstrated since more than 50% of the research contains authors from this country, it is also observed that there is no research from Spain, so this research would be an initial step to determine the weaknesses of telemedicine in this field of medicine and a good opportunity to open a research gap in this branch. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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22. Application of a Human Factors Systems Approach to Healthcare Control Centres for Managing Patient Flow: A Scoping Review.
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Paterson, Estrella, Chari, Satyan, McCormack, Linda, and Sanderson, Penelope
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MEDICAL information storage & retrieval systems , *HEALTH facility administration , *MEDICAL quality control , *ERGONOMICS , *PATIENT safety , *MEDICAL care , *RISK management in business , *CINAHL database , *CONTINUUM of care , *EMERGENCY medical services , *PATIENT care , *WORKFLOW , *ORGANIZATIONAL effectiveness , *SYSTEMATIC reviews , *MEDLINE , *CROWDS , *LITERATURE reviews , *CONCEPTUAL structures , *COMMUNICATION , *TREATMENT delay (Medicine) , *ONLINE information services , *PATIENT satisfaction , *WELL-being - Abstract
Over the past decade, healthcare systems have started to establish control centres to manage patient flow, with a view to removing delays and increasing the quality of care. Such centres—here dubbed Healthcare Capacity Command/Coordination Centres (HCCCs)—are a challenge to design and operate. Broad-ranging surveys of HCCCs have been lacking, and design for their human users is only starting to be addressed. In this review we identified 73 papers describing different kinds of HCCCs, classifying them according to whether they describe virtual or physical control centres, the kinds of situations they handle, and the different levels of Rasmussen's [1] risk management framework that they integrate. Most of the papers (71%) describe physical HCCCs established as control centres, whereas 29% of the papers describe virtual HCCCs staffed by stakeholders in separate locations. Principal functions of the HCCCs described are categorised as business as usual (BAU) (48%), surge management (15%), emergency response (18%), and mass casualty management (19%). The organisation layers that the HCCCs incorporate are classified according to the risk management framework; HCCCs managing BAU involve lower levels of the framework, whereas HCCCs handling the more emergent functions involve all levels. Major challenges confronting HCCCs include the dissemination of information about healthcare system status, and the management of perspectives and goals from different parts of the healthcare system. HCCCs that take the form of physical control centres are just starting to be analysed using human factors principles that will make staff more effective and productive at managing patient flow. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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23. Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review.
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Zapata, Belén, Fernández-Alemán, José, Idri, Ali, and Toval, Ambrosio
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HEALTH ,INFORMATION storage & retrieval systems ,MEDICAL databases ,MEDLINE ,ONLINE information services ,OPERATING rooms ,PORTABLE computers ,QUALITY assurance ,RESEARCH funding ,SYSTEMATIC reviews ,SMARTPHONES ,MOBILE apps - Abstract
The release of smartphones and tablets, which offer more advanced communication and computing capabilities, has led to the strong emergence of mHealth on the market. mHealth systems are being used to improve patients' lives and their health, in addition to facilitating communication between doctors and patients. Researchers are now proposing mHealth applications for many health conditions such as dementia, autism, dysarthria, Parkinson's disease, and so on. Usability becomes a key factor in the adoption of these applications, which are often used by people who have problems when using mobile devices and who have a limited experience of technology. The aim of this paper is to investigate the empirical usability evaluation processes described in a total of 22 selected studies related to mHealth applications by means of a Systematic Literature Review. Our results show that the empirical evaluation methods employed as regards usability could be improved by the adoption of automated mechanisms. The evaluation processes should also be revised to combine more than one method. This paper will help researchers and developers to create more usable applications. Our study demonstrates the importance of adapting health applications to users' need. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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24. Student paper competition focuses on medical informatics.
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Orthner HF
- Subjects
- Humans, Awards and Prizes, Computers, Students, Medical
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- 1984
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25. Trainee Occupational Therapists Scoring the Barthel ADL.
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Martin, Elizabeth, Nugent, Chris, Bond, Raymond, and Martin, Suzanne
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STATISTICAL correlation ,NURSING records ,OCCUPATIONAL therapy education ,ACTIVITIES of daily living ,BARTHEL Index - Abstract
Within medical applications there are two main types of information design; paper-based and digital information [1]. As technology is constantly changing, information within healthcare management and delivery is continually being transitioned from traditional paper documents to digital and online resources. Activity of Daily Living (ADL) charts are still predominantly paper based and are therefore prone to 'human error' [2]. In light of this, an investigation has taken place into the design for reducing the amount of human error, between a paper based ADL, specifically the Barthel Index, and the same ADL created digitally. The digital ADL was developed as an online platform as this offers the best method of data capture for a large group of participants all together [3]. The aim of the study was to evaluate the usability of the Barthel Index ADL in paper format and then reproduce the same ADL digitally. This paper presents the findings of a study involving 26 participants who were familiar with ADL charts, and used three scenarios requiring them to complete both a paper ADL and a digital ADL. An evaluation was undertaken to ascertain if there were any 'human errors' in completing the paper ADL and also to find similarities/differences through using the digital ADL. The results from the study indicated that 22/26 participants agreed that the digital ADL was better, if not the same as a paper based ADL. Further results indicated that participants rate highly the added benefit of the digital ADL being easy to use and also that calculation of assessment scores were performed automatically. Statistically the digital BI offered a 100 % correction rate in the total calculation, in comparison to the paper based BI where it is more common for users to make mathematical calculation errors. Therefore in order to minimise handwriting and calculation errors, the digital BI proved superior than the traditional paper based method. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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26. COVID-19 Close Contact Management: An Evolution of Operations Harnessing the Digital Edge.
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Seah, Benjamin ZQ, Jailani, Rehmen I, Law, Peter YC, Teo, Roger SM, Chong, Xin Ying, Law, Olivia, and Chong, Si Jack
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Singapore, like many other nations globally, had to contend with significant caseloads arising from the Coronavirus disease (COVID-19) pandemic. This paper focuses on using technology as an intervention for pandemic management. With scant scientific evidence on effective medications and vaccinations (i.e., pharmaceutical interventions) initially, disease containment strategies predominated during the early phases. Non-pharmaceutical interventions were critical in slowing disease transmission and preventing public healthcare institutions from being overwhelmed. Such interventions could be broadly divided into case-based interventions (e.g., contact tracing and quarantining of close contacts) and population-based measures (e.g., mask use and social distancing). The paper describes Singapore’s experience in the operational implementation of contact-based interventions, and illustrates how harnessing the digital edge enabled fast, accurate, resource-efficient, and flexible execution of ground operations. Singapore applied digital technology and developed an integrated system to facilitate issuance and acknowledgement of quarantine orders, submission of COVID-19 test results, and collection of antigen rapid test kits at the population level. Data was obtained from this proprietary centralised, automated platform. The paper demonstrates how such simple, yet elegant systems could have a direct impact on disease transmission in an outbreak setting and on population health. Moving forward, it is recommended that technology and digital solutions feature prominently in work process designs beyond COVID-19 such as in the management of emerging infectious diseases and non-communicable diseases. [ABSTRACT FROM AUTHOR]
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- 2023
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27. EPR Adoption and Dual Record Maintenance in the U.S.: Assessing Variation in Medical Systems Infrastructure
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Lorence, Daniel P., Spink, Amanda, and Richards, Michael C.
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- 2002
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28. Student paper competition focuses on medical informatics
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- 1984
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29. Feasibility of an Assessment Tool as a Data-Driven Approach to Reducing Racial Bias in Biomedical Publications.
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Wescott, Siobhan, Johnson, Ronn, Lamba, Sangeeta, Olson, Devon, Haywood, Yolanda, Meltzer, Carolyn C, and Correa, Ricardo
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PREVENTION of racism ,MEDICAL literature -- History & criticism ,NATIONAL competency-based educational tests ,PILOT projects ,USER-centered system design ,PROFESSIONS ,HEALTH services accessibility ,SERIAL publications ,RESEARCH methodology ,EVALUATION research ,HEALTH status indicators ,CONCEPTUAL structures ,SURVEYS ,HUMAN services programs ,AUTONOMY (Psychology) ,TERMS & phrases ,DECISION making ,INFORMATION storage & retrieval systems ,MANAGEMENT ,MEDICAL research - Abstract
The editorial independence of biomedical journals allows flexibility to meet a wide range of research interests. However, it also is a barrier for coordination between journals to solve challenging issues such as racial bias in the scientific literature. A standardized tool to screen for racial bias could prevent the publication of racially biased papers. Biomedical journals would maintain editorial autonomy while still allowing comparable data to be collected and analyzed across journals. A racially diverse research team carried out a three-phase study to generate and test a racial bias assessment tool for biomedical research. Phase 1, an in-depth, structured literature search to identify recommendations, found near complete agreement in the literature on addressing race in biomedical research. Phase 2, construction of a framework from those recommendations, provides the major innovation of this paper. The framework includes three dimensions of race: 1) context, 2) tone and terminology, and 3) analysis, which are the basis for the Race Equity Vetting Instrument for Editorial Workflow (REVIEW) tool. Phase 3, pilot testing the assessment tool, showed that the REVIEW tool was effective at flagging multiple concerns in widely criticized articles. This study demonstrates the feasibility of the proposed REVIEW tool to reduce racial bias in research. Next steps include testing this tool on a broader sample of biomedical research to determine how the tool performs on more subtle examples of racial bias. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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30. Organization’s Quality Maturity as a Vehicle for EHR Success
- Author
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Meidani, Zahra, Sadoughi, Farhnaz, Maleki, Mohammad Reza, Tofighi, Shahram, and Marani, Ahmad Barati
- Published
- 2012
- Full Text
- View/download PDF
31. Contextual Structured Reporting in Radiology
- Author
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Petra M.C. Callenbach, A. W. Olthof, Peter M. A. van Ooijen, Anne L M Leusveld, Jan Cees de Groot, and Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)
- Subjects
WHITE PAPER ,medicine.medical_specialty ,Quality management ,Computer science ,ACR INCIDENTAL FINDINGS ,Medicine (miscellaneous) ,Health Informatics ,Referring Physician ,Documentation ,Health informatics ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,White paper ,Health Information Management ,Structured reporting ,medicine ,MANAGEMENT ,Humans ,COMMITTEE II ,Quality improvement ,NOTIFICATION ,Guideline adherence ,business.industry ,Communication ,PELVIC CT ,Radiography ,Systems-Level Quality Improvement ,Radiology Information Systems ,Medical informatics ,030220 oncology & carcinogenesis ,Radiology ,business ,Information Systems ,MRI - Abstract
Structured reporting contributes to the completeness of radiology reports and improves quality. Both the content and the structure are essential for successful implementation of structured reporting. Contextual structured reporting is tailored to a specific scenario and can contain information retrieved from the context. Critical findings detected by imaging need urgent communication to the referring physician. According to guidelines, the occurrence of this communication should be documented in the radiology reports and should contain when, to whom and how was communicated. In free-text reporting, one or more of these required items might be omitted. We developed a contextual structured reporting template to ensure complete documentation of the communication of critical findings. The WHEN and HOW items were included automatically, and the insertion of the WHO-item was facilitated by the template. A pre- and post-implementation study demonstrated a substantial improvement in guideline adherence. The template usage improved in the long-term post-implementation study compared with the short-term results. The two most often occurring categories of critical findings are “infection / inflammation” and “oncology”, corresponding to the a large part of urgency level 2 (to be reported within 6 h) and level 3 (to be reported within 6 days), respectively. We conclude that contextual structured reporting is feasible for required elements in radiology reporting and for automated insertion of context-dependent data. Contextual structured reporting improves guideline adherence for communication of critical findings.
- Published
- 2020
32. AI Tools for Assessing Human Fertility Using Risk Factors: A State-of-the-Art Review.
- Author
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GhoshRoy, Debasmita, Alvi, P. A., and Santosh, KC
- Subjects
BIOMARKERS ,ONLINE information services ,LIFESTYLES ,OBESITY ,MEN'S health ,META-analysis ,SYSTEMATIC reviews ,AGE distribution ,ARTIFICIAL intelligence ,MACHINE learning ,RISK assessment ,INFERTILITY ,FERTILITY ,MEDLINE ,WOMEN'S health ,REPRODUCTIVE health ,DISEASE risk factors - Abstract
Infertility has massively disrupted social and marital life, resulting in stressful emotional well-being. Early diagnosis is the utmost need for faster adaption to respond to these changes, which makes possible via AI tools. Our main objective is to comprehend the role of AI in fertility detection since we have primarily worked to find biomarkers and related risk factors associated with infertility. This paper aims to vividly analyse the role of AI as an effective method in screening, predicting for infertility and related risk factors. Three scientific repositories: PubMed, Web of Science, and Scopus, are used to gather relevant articles via technical terms: (human infertility OR human fertility) AND risk factors AND (machine learning OR artificial intelligence OR intelligent system). In this way, we systematically reviewed 42 articles and performed a meta-analysis. The significant findings and recommendations are discussed. These include the rising importance of data augmentation, feature extraction, explainability, and the need to revisit the meaning of an effective system for fertility analysis. Additionally, the paper outlines various mitigation actions that can be employed to tackle infertility and its related risk factors. These insights contribute to a better understanding of the role of AI in fertility analysis and the potential for improving reproductive health outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
33. Introduction to the papers on computer-assisted instruction in nursing
- Author
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E L Lamie
- Subjects
Medical education ,Health Information Management ,Nursing ,business.industry ,Medicine (miscellaneous) ,Computer-Assisted Instruction ,Health Informatics ,Psychology ,business ,Health informatics ,Information Systems - Published
- 1986
34. Student paper competition focuses on medical informatics
- Author
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Helmuth F. Orthner
- Subjects
Medical education ,Students, Medical ,Computers ,business.industry ,Engineering informatics ,Awards and Prizes ,Medicine (miscellaneous) ,Health Informatics ,Health informatics ,Business informatics ,Competition (economics) ,Health Administration Informatics ,Health Information Management ,Informatics ,Humans ,Medicine ,business ,Information Systems - Published
- 1984
35. DRUGS System Improving the Effects of Clinical Pathways: A Systematic Study.
- Author
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Wang, Shan, Zhu, Xiaohe, Zhao, Xian, Lu, Yang, Yang, Zhifu, Qian, Xiaoliang, Li, Weiwei, Ma, Lixiazi, Guo, Huning, Wang, Jingwen, and Wen, Aidong
- Subjects
ACADEMIC medical centers ,ANTIBIOTICS ,BREAST tumors ,CATARACT ,CHI-squared test ,LENGTH of stay in hospitals ,INGUINAL hernia ,MEDICAL care ,MEDICAL care costs ,MEDICAL protocols ,TYPE 2 diabetes ,ORGANIZATIONAL effectiveness ,PATIENT safety ,PROBABILITY theory ,QUALITY assurance ,RESEARCH funding ,SURGICAL complications ,T-test (Statistics) ,PILOT projects ,DATA analysis software ,DESCRIPTIVE statistics ,EVALUATION - Abstract
The aim of the study is to assess the feasibility of Drugs Rational Usage Guideline System (DRUGS)-supported clinical pathway (CP) for breast carcinoma, cataract, inguinal hernia and 2-diabetes mellitus whether the application of such a system could improve work efficiency, medical safety, and decrease hospital cost. Four kinds of diseases which included 1773 cases (where 901 cases using paper-based clinical pathways and 872 cases using DRUGS-supported clinical pathways) were selected and their demographic and clinical data were collected. The evaluation criteria were length of stay, preoperative length of stay, hospital cost, antibiotics prescribed during hospitalization, unscheduled surgery, complications and prognosis. The median total LOS was 1 to 3 days shorter in the DRUGS-supported CP group as compared to the Paper-based CP group for all types ( p < 0.05). Totel hospital cost decreased significantly in the DRUGS-supported CP group than that in Paper-based CP group. About antibiotics prescribed during hospitalization, there were no statistically differences in the time of initial dose of antibiotic and the duration of administration except the choice of antibiotic categories. The proportion of DRUGS-supported clinical pathway conditions where a broad-spectrum antibiotic was prescribed decreased from 63.6 to 34.5 % ( p < 0.01) in the Paper-based group. While after the intervention, the differences were statistically not significant in unscheduled surgery, complications and prognosis. In this study, DRUGS-supported clinical pathway for breast carcinoma, cataract, inguinal hernia, 2-diabetes mellitus was smoothly shifted from a paper-based to an electronic system, and confer benefits at the hospital level. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
36. Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction.
- Author
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Van Laere, Sven, Muylle, Katoo M., Dupont, Alain G., and Cornu, Pieter
- Subjects
C-reactive protein ,DECISION trees ,PREDICTIVE tests ,RESEARCH evaluation ,KIDNEY function tests ,AGE distribution ,LONG QT syndrome ,MACHINE learning ,POTASSIUM ,ATRIAL fibrillation ,RETROSPECTIVE studies ,RISK assessment ,DRUG interactions ,HEART beat ,ELECTROCARDIOGRAPHY ,DESCRIPTIVE statistics ,RESEARCH funding ,PREDICTION models ,STATISTICAL models ,SENSITIVITY & specificity (Statistics) ,CALCIUM ,LOGISTIC regression analysis ,DATA analysis software ,LONGITUDINAL method ,DISEASE risk factors ,EVALUATION - Abstract
In clinical practice, many drug therapies are associated with prolongation of the QT interval. In literature, estimation of the risk of prescribing drug-induced QT prolongation is mainly executed by means of logistic regression; only one paper reported the use of machine learning techniques. In this paper, we compare the performance of both techniques on the same dataset. High risk for QT prolongation was defined as having a corrected QT interval (QTc) ≥ 450 ms or ≥ 470 ms for respectively male and female patients. Both conventional statistical methods (CSM) and machine learning techniques (MLT) were used. All algorithms were validated internally and with a hold-out dataset of respectively 512 and 102 drug-drug interactions with possible drug-induced QTc prolongation. MLT outperformed the best CSM in both internal and hold-out validation. Random forest and Adaboost classification performed best in the hold-out set with an equal harmonic mean of sensitivity and specificity (HMSS) of 81.2% and an equal accuracy of 82.4% in a hold-out dataset. Sensitivity and specificity were both high (respectively 75.6% and 87.7%). The most important features were baseline QTc value, C-reactive protein level, heart rate at baseline, age, calcium level, renal function, serum potassium level and the atrial fibrillation status. All CSM performed similarly with HMSS varying between 60.3% and 66.3%. The overall performance of logistic regression was 62.0%. MLT (bagging and boosting) outperform CSM in predicting drug-induced QTc prolongation. Additionally, 19.2% was gained in terms of performance by random forest and Adaboost classification compared to logistic regression (the most used technique in literature in estimating the risk for QTc prolongation). Future research should focus on testing the classification on fully external data, further exploring potential of other (new) machine and deep learning models and on generating data pipelines to automatically feed the data to the classifier used. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
37. EBM Metadata Based on Dublin Core Better Presenting Validity of Clinical Trials.
- Author
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Xu, Wei and Okada, Mihoko
- Subjects
METADATA ,DUBLIN Core ,STOMACH ulcers ,THERAPEUTICS ,CLINICAL trials ,CLINICAL medicine - Abstract
To help clinicians find better evidence, a metadata schema for Evidence Based Medicine (EBM) is developed. Dublin Core metadata standard (DC) was adopted to help build a metadata schema. An experimental system was developed to test the validity of the metadata and full text papers of clinical therapy on stomach ulcer extracted using PubMed. An EBM metadata schema was developed. Citations were created from original papers using the metadata schema. Three clinicians evaluated papers by utilizing metadata and full texts respectively. Agreement of evaluation was analyzed, and the result on weighted kappa was 0.55 (95%CI, 0.42–0.67). It reveals that there is moderate agreement between evaluation of metadata citations and full texts. It is possible to use the metadata to select papers before reading the full texts. A further study should be made to prove the applicability of the metadata in the real world setting. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
38. The 510(k) Third Party Review Program: Promise and Potential
- Author
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Miller, Brian J., Blanks, William, and Yagi, Brian
- Published
- 2023
- Full Text
- View/download PDF
39. Reflections on 'Health Care in the Information Society - a Prognosis for the Year 2013'.
- Author
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Haux, Reinhold, Ammenwerth, Elske, and Knaup, Petra
- Subjects
FORECASTING ,MEDICAL quality control ,MEDICAL informatics ,ADULT education workshops - Abstract
The authors report on the 2013 workshop which critically reflected on the prognoses and theses made for the year 2013 and introduces 3 papers where the workshop results have been summarized. They together with Wolfgang Herzog wanted to identify priorities in medical informatics research and necessary activities by policymakers as they try to forecast how health care could like in the year 2013.
- Published
- 2014
- Full Text
- View/download PDF
40. Parents' mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study.
- Author
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Vázquez-Paz, Ada Mabel, Michel-Nava, Rosa María, Delgado-Pérez, Edwin Emeth, Lares-Michel, Mariana, and Espinosa-Curiel, Ismael Edrein
- Subjects
FOOD habits ,PILOT projects ,STATISTICS ,VEGETABLES ,CONVENIENCE foods ,MOBILE apps ,GROUNDED theory ,SELF-evaluation ,MANN Whitney U Test ,PARENTING ,T-test (Statistics) ,HEALTH literacy ,FRUIT ,REWARD (Psychology) ,DESCRIPTIVE statistics ,DATA analysis software ,DATA analysis ,TELEMEDICINE ,HEALTH promotion ,BEHAVIOR modification - Abstract
The use of mobile health apps to improve diet and nutrition behaviors has increased in recent years. Several studies have described the benefits and advantages of this technology as a complement to interventions for improving nutrition behaviors and nutrition‐related health outcomes, including obesity indices and clinical parameters. Few of these works have developed clinical mobile health apps for children, and although parents play a critical role in children's nutrition behaviors, work targeting parents is scarce. The work presented in this paper describes the development of the PersuHabit app, a stand-alone mobile health app targeting parents to promote the intake of fruits and vegetables (FVs) and reduce the intake of ultra-processed foods (UPF) in children aged 6 to 10 years. The paper also presents the execution of an exploratory pilot study to assess the feasibility, acceptability, and preliminary effects of the PersuHabit app. The results are presented and discussed, and actions for further improvement of the PersuHabit app are identified. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
41. Coordination of Intraoperative Neurophysiologic Monitoring Technologist and Surgery Schedules.
- Author
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Huang, Yu-Li, Bansal, Ankit, Berg, Bjorn P., Tommaso, Christopher P., and Laughlin, Ruple S.
- Subjects
HEALTH services accessibility ,SURGERY ,INTRAOPERATIVE monitoring ,MEDICAL appointments ,WORKING hours ,HEALTH care rationing - Abstract
Resource coordination in surgical scheduling remains challenging in health care delivery systems. This is especially the case in highly-specialized settings such as coordinating Intraoperative Neurophysiologic Monitoring (IONM) resources. Inefficient coordination yields higher costs, limited access to care, and creates constraints to surgical quality and outcomes. To maximize utilization of IONM resources, optimization-based algorithms are proposed to effectively schedule IONM surgical cases and technologists and evaluate staffing needs. Data with 10 days of case volumes, their surgery durations, and technologist staffing was used to demonstrate method effectiveness. An iterative optimization-based model that determines both optimal surgery and technologist start time (operational scenario 4) was built in an Excel spreadsheet along with Excel's Solver settings. It was compared with current practice (operational scenario 1) and optimization solution on only surgery start time (operational scenario 2) or technologist start time (operational scenario 3). Comparisons are made with respect to technologist overtime and under-utilization time. The results conclude that scenario 4 significantly reduces overtime by 74% and under-utilization time by 86% as well as technologist needs by 10%. For practices that do not have flexibility to alter surgeon preference on surgery start time or IONM technologist staffing levels, both scenarios 2 and 3 also result in substantial reductions in technologist overtime and under-utilization. Moreover, IONM technologist staffing options are discussed to accommodate technologist preferences and set constraints for surgical case scheduling. All optimization-based approaches presented in this paper are able to improve utilization of IONM resources and ultimately improve the coordination and efficiency of highly-specialized resources. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
42. Forecasting the Patients Flow at Pediatric Emergency Departments.
- Author
-
Morzadec, Thomas, Chappuy, Hélène, Bouazza, Naïm, Urien, Saïk, Treluyer, Jean-Marc, Foissac, Frantz, and Beeker, Nathanaël
- Subjects
HOSPITAL emergency services ,ACADEMIC medical centers ,CROWDS ,PEDIATRICS ,REGRESSION analysis ,SEASONS ,FORECASTING ,QUALITY assurance ,RESEARCH funding ,ORGANIZATIONAL effectiveness ,DESCRIPTIVE statistics ,TIME series analysis ,PREDICTION models ,DATA analysis software ,HEALTH care rationing ,MEDICAL needs assessment - Abstract
Emergency departments (EDs) have a key role in the public health system. They are facing a constant growth of their volume. Forecasting the daily volume is a major tool to adapt the allocation of resources. In this paper, we focus on pediatric EDs. They are specific by their strong seasonal variation, determined by the academic pace. The main contribution of this paper is to integrate the effects of this pace to the annual seasonality. We also tried out to improve the daily forecasting by forecasting the week means of the flow first. We trained and tested these models specifically on the pediatric EDs of Paris university hospital trust. For the eight pediatric EDs gathered, on average for the years 2016 to 2019, we forecasted the daily volume with a Mean Absolute Percentage Error (MAPE) of 6.6% for a 7-days forecasting, 7.1% for a 14-days forecasting and 7.6% for a 28-days forecasting. Account of rhythm allows a performance increase, with results respectively 7%, 10.1% and 8.4% better relatively to a baseline model based on a periodic regression on the weeks. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
43. The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes.
- Author
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Jiang, Tao, Yu, Ping, Hailey, David, Ma, Jun, and Yang, Jie
- Published
- 2016
- Full Text
- View/download PDF
44. A comprehensive survey of energy-aware routing protocols in wireless body area sensor networks.
- Author
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Effatparvar, Mehdi, Dehghan, Mehdi, and Rahmani, Amir Masoud
- Published
- 2016
- Full Text
- View/download PDF
45. Applying a Medical Budget System to Biostatistics Clinics.
- Author
-
Makie, Toshio
- Subjects
BIOMETRY ,MEDICAL statistics ,MATHEMATICAL models in medicine ,MEDICAL record linkage ,STATISTICS ,CLINICS ,CLINICAL medicine - Abstract
Biostatistics are indispensable in clinical medicine because doctors increasingly need to publish and understand medical articles that use statistical methods. An opportunity is needed for medical doctors to interact with biostatisticians on statistical issues. This paper's objective is to determine how much it costs to establish a biostatistics clinic and what revenue is required to run the clinic. A balance sheet was used to outline the revenue and expenses of a statistics clinic using a simple method introduced by the author. Expenses for personnel, material, and tenancy costs were 41.9, 18.1, and 25.1% of the total, respectively. To run, the biostatistics clinic required 200 research design engagements, 1200 h of hourly consultation, and 6600 h of data processing. To acquire scientific grants, each of four biostatisticians had to write one academic paper annually. The results show that a biostatistics clinic could be managed profitably based on the assumptions in this study. [ABSTRACT FROM AUTHOR]
- Published
- 2004
- Full Text
- View/download PDF
46. Towards the Use of Blockchain in Mobile Health Services and Applications.
- Author
-
Santos, João Amaral, Inácio, Pedro R. M., and Silva, Bruno M. C.
- Subjects
PRIVACY ,BLOCKCHAINS ,MOBILE apps ,CLOUD computing ,MEDICAL ethics ,ACCESS to information ,MEDICAL informatics ,ELECTRONIC health records ,TELEMEDICINE - Abstract
With the advent of cryptocurrencies and blockchain, the growth and adaptation of cryptographic features and capabilities were quickly extended to new and underexplored areas, such as healthcare. Currently, blockchain is being implemented mainly as a mechanism to secure Electronic Health Records (EHRs). However, new studies have shown that this technology can be a powerful tool in empowering patients to control their own health data, as well for enabling a fool-proof health data history and establishing medical responsibility. Additionally, with the proliferation of mobile health (m-Health) sustained on service-oriented architectures, the adaptation of blockchain mechanisms into m-Health applications creates the possibility for a more decentralized and available healthcare service. Hence, this paper presents a review of the current security best practices for m-Health and the most used and widely known implementations of the blockchain protocol, including blockchain technologies in m-Health. The main goal of this comprehensive review is to further discuss and elaborate on identified open-issues and potential use cases regarding the uses of blockchain in this area. Finally, the paper presents the major findings, challenges and advantages on future blockchain implementations for m-Health services and applications. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
47. The Potential of Big Data Research in HealthCare for Medical Doctors' Learning.
- Author
-
Au-Yong-Oliveira, Manuel, Pesqueira, Antonio, Sousa, Maria José, Dal Mas, Francesca, and Soliman, Mohammad
- Subjects
DIAGNOSIS ,EDUCATION of physicians ,THERAPEUTICS ,AUTHORSHIP ,DATABASES ,DIFFUSION of innovations ,FORECASTING ,INTELLECT ,LEARNING ,MATHEMATICAL models ,MEDICAL care ,MEDICAL research ,MEDLINE ,ONLINE information services ,QUALITY assurance ,RESEARCH funding ,CONTINUING medical education ,SYSTEMATIC reviews ,EVIDENCE-based medicine ,DECISION making in clinical medicine ,HEALTH care industry ,THEORY ,DATA analysis software ,SOFTWARE analytics - Abstract
The main goal of this article is to identify the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for medical doctors' (MDs') learning, which appears as a major issue in continuous medical education and learning. The paper employs a systematic literature review of main scientific databases (PubMed and Google Scholar), using the VOSviewer software tool, which enables the visualization of scientific landscapes. The analysis includes a co-authorship data analysis as well as the co-occurrence of terms and keywords. The results lead to the construction of the learning model proposed, which includes four health big data key areas for MDs' learning: 1) data transformation is related to the learning that occurs through medical systems; 2) health intelligence includes the learning regarding health innovation based on predictions and forecasting processes; 3) data leveraging regards the learning about patient information; and 4) the learning process is related to clinical decision-making, focused on disease diagnosis and methods to improve treatments. Practical models gathered from the scientific databases can boost the learning process and revolutionise the medical industry, as they store the most recent knowledge and innovative research. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
48. Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review.
- Author
-
Castillo-Sánchez, Gema, Marques, Gonçalo, Dorronzoro, Enrique, Rivera-Romero, Octavio, Franco-Martín, Manuel, and De la Torre-Díez, Isabel
- Abstract
According to the World Health Organization (WHO) report in 2016, around 800,000 of individuals have committed suicide. Moreover, suicide is the second cause of unnatural death in people between 15 and 29 years. This paper reviews state of the art on the literature concerning the use of machine learning methods for suicide detection on social networks. Consequently, the objectives, data collection techniques, development process and the validation metrics used for suicide detection on social networks are analyzed. The authors conducted a scoping review using the methodology proposed by Arksey and O’Malley et al. and the PRISMA protocol was adopted to select the relevant studies. This scoping review aims to identify the machine learning techniques used to predict suicide risk based on information posted on social networks. The databases used are PubMed, Science Direct, IEEE Xplore and Web of Science. In total, 50% of the included studies (8/16) report explicitly the use of data mining techniques for feature extraction, feature detection or entity identification. The most commonly reported method was the Linguistic Inquiry and Word Count (4/8, 50%), followed by Latent Dirichlet Analysis, Latent Semantic Analysis, and Word2vec (2/8, 25%). Non-negative Matrix Factorization and Principal Component Analysis were used only in one of the included studies (12.5%). In total, 3 out of 8 research papers (37.5%) combined more than one of those techniques. Supported Vector Machine was implemented in 10 out of the 16 included studies (62.5%). Finally, 75% of the analyzed studies implement machine learning-based models using Python. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
49. Radiological Diagnosis of Chronic Liver Disease and Hepatocellular Carcinoma: A Review.
- Author
-
Singh, Sonit, Hoque, Shakira, Zekry, Amany, and Sowmya, Arcot
- Subjects
LIVER disease diagnosis ,LIVER radiography ,COMPUTERS in medicine ,CHRONIC diseases ,LIVER ,SYSTEMATIC reviews ,MACHINE learning ,MEDICAL care costs ,COST control ,FIBROSIS ,CIRRHOSIS of the liver ,LIVER diseases ,WORKFLOW ,DIAGNOSTIC imaging ,TUMOR classification ,DIAGNOSIS ,DIGESTIVE organs ,COMPUTER-aided diagnosis ,SENSITIVITY & specificity (Statistics) ,ARTIFICIAL neural networks ,HEPATOCELLULAR carcinoma - Abstract
Medical image analysis plays a pivotal role in the evaluation of diseases, including screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs responsible for key functions of metabolism, protein and hormone synthesis, detoxification, and waste excretion. Patients with advanced liver disease and Hepatocellular Carcinoma (HCC) are often asymptomatic in the early stages; however delays in diagnosis and treatment can lead to increased rates of decompensated liver diseases, late-stage HCC, morbidity and mortality. Ultrasound (US) is commonly used imaging modality for diagnosis of chronic liver diseases that includes fibrosis, cirrhosis and portal hypertension. In this paper, we first provide an overview of various diagnostic methods for stages of liver diseases and discuss the role of Computer-Aided Diagnosis (CAD) systems in diagnosing liver diseases. Second, we review the utility of machine learning and deep learning approaches as diagnostic tools. Finally, we present the limitations of existing studies and outline future directions to further improve diagnostic accuracy, as well as reduce cost and subjectivity, while also improving workflow for the clinicians. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
50. "Healthometer"--an instrument for self-distributed health screening and prevention in the population.
- Author
-
Spång L, Trell E, Fioretos M, Kielstein V, and Nasr M
- Subjects
- Adult, Audiovisual Aids, Community Participation, Counseling, Feasibility Studies, Female, Follow-Up Studies, Humans, Life Style, Male, Motivation, Paper, Primary Health Care, Self Care, Self-Assessment, Sweden, User-Computer Interface, Health Education methods, Health Promotion methods, Health Status Indicators, Mass Screening methods, Primary Prevention methods
- Abstract
In the ongoing expansion of medical systems toward prevention and health promotion, primary care is increasingly recognized as a key vehicle and agent. In order to establish a comprehensive health dialogue in the population, there is a need for innovative instruments corresponding to the information and linked media revolution that this shift is a part of. Based upon the experiences of the Department of Preventive Medicine in Malmö, Sweden, a self-mediated, interactive health testing and promotion instrument called "healthometer" has been developed and tested for feasibility. The instrument uses a special variety of a quintile-distributed visual analog scale with the thermometer as reference and allows: (a) easy summation and averaging of single or different aggregates of the test items as a "wellness" profile and score with emphasis upon the positive aspects of health, and (b) recognition against this on the whole favorable background of the weak points motivating further action. The instrument, which can be distributed on paper or electronic medium, supports participation and insight in the initial stages of a directed individual health program for the continuation of which the utilization of professional counsel is stimulated.
- Published
- 1998
- Full Text
- View/download PDF
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