10 results
Search Results
2. An Improved Immunization Record to Support Vaccination During the COVID-19 Pandemic at a University Hospital in Argentina.
- Author
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Descalzo, Juan M., Verdineli, Julian, Nuñez, Joia, Díaz, Soledad V., Gambarte, Maria L., Minoletti, Sebastián, Blanco, Matías H., Jauregui, Oscar I., Rizzato Lede, Daniel A., Otero, Carlos M., and Luna, Daniel R.
- Subjects
COVID-19 ,IMMUNIZATION ,ACADEMIC medical centers ,COVID-19 vaccines ,CONFERENCES & conventions ,DOCUMENTATION ,SOFTWARE architecture ,DATABASE management ,AUTOMATION ,ACCESS to information ,ELECTRONIC health records - Abstract
WHO and UNICEF highlight vaccination as the most cost-effective method of prevention of infectious diseases. An effective public health strategy requires efficient tracking of vaccination to assess coverage, safety, and efficacy of these vaccines. Paper-based immunization records are still being used in most low and middle-income countries. Adequate Electronic Logistic Management Information Systems, Immunization Registries and Records are crucial for proper data collection and analysis, and for making better decisions at an individual and at a population level. In this paper we share our experience in the redesign of an interoperable immunization record to track vaccination, including the recently developed vaccines for the novel coronavirus SARS-CoV-2 (COVID-19). [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
3. Ontology for Overcrowding Management in Emergency Department.
- Author
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Maala, Khouloud Fakhfakh, Ben-Othman, Sarah, Jourdan, Laetitia, Smith, Grégoire, Renard, Jean-Marie, Hammadi, Slim, and Biau, Hayfa Zgaya
- Subjects
SEMANTICS ,KEY performance indicators (Management) ,HOSPITAL emergency services ,ACADEMIC medical centers ,CROWDS ,MATHEMATICAL models ,RESEARCH methodology ,PATIENTS ,THEORY ,CLINICAL medicine ,EMERGENCY medical services ,MEDICAL referrals ,ONTOLOGIES (Information retrieval) - Abstract
Emergency department (ED) overcrowding is an ongoing problem worldwide. Scoring systems are available for the detection of this problem. This study aims to combine a model that allows the detection and management of overcrowding. Therefore, it is crucial to implement a system that can reason model, rank ED resources and ED performance indicators based on environmental factors. Thus, we propose in this paper a new domain ontology (EDOMO) based on a new overcrowding estimation score (OES) to detect critical situations, specify the level of overcrowding and propose solutions to deal with these situations. Our approach is based on a real database created during more than four years from the Lille University Hospital Center (LUHC) in France. The resulting ontology is capable of modeling complete domain knowledge to enable semantic reasoning based on SWRL rules. The evaluation results show that the EDOMO is complete that can enhance the functioning of the ED. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
4. Tana, a Healthcare Chatbot to Help Patients During the COVID-19 Pandemic at a University Hospital in Argentina.
- Author
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Rizzato Lede, Daniel A., Inda, Delfina, Rosa, Juan M., Zin, Yael, Tentoni, Nicolás, Médici, Mariano M., Castaño, José M., Gambarte, Maria L., López, Gastón E., Merli, Mariana, Otero, Carlos M., and Luna, Daniel R.
- Subjects
ACADEMIC medical centers ,MOBILE apps ,ARTIFICIAL intelligence ,CONFERENCES & conventions ,ROBOTICS ,HUMAN services programs ,TEXT messages ,COVID-19 pandemic ,PATIENT safety - Abstract
A Chatbot or Conversational Agent is a computer application that simulates the conversation with a human person (by text or voice), giving automated responses to people's needs. In the healthcare domain, chatbots can be beneficial to help patients, as a complement to care by health personnel, especially in times of high demand or constrained resources such as the COVID-19 Pandemic. In this paper we share the design and implementation of a healthcare chatbot called Tana at the Hospital Italiano de Buenos Aires. Considering best practices and being aware of possible unintended consequences, we must take advantage of information and communication technologies, such as chatbots, to analyze and promote useful conversations for the health of all people. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
5. Discovering Social Determinant of Health Risk Factors for Perinatal Morbidity Through Real World Data.
- Author
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Cheng GAO and You CHEN
- Subjects
PREMATURE infants ,SOCIAL determinants of health ,ACADEMIC medical centers ,MINORITIES ,MULTIPLE regression analysis ,CONFERENCES & conventions ,LANGUAGE & languages ,RISK assessment ,SOCIOECONOMIC status ,DISCRIMINATION against people with disabilities ,SOCIOECONOMIC factors ,PREGNANCY complications ,INFORMATION retrieval ,SOCIAL classes ,GESTATIONAL diabetes ,HEALTH equity ,ELECTRONIC health records ,RESIDENTIAL patterns ,TRANSPORTATION ,DISEASE risk factors - Abstract
Gestational diabetes and preterm birth are perinatal morbidities that significantly impact women and infants' health. While clinical factors like cesarean delivery, multiple gestation, preeclampsia, and hypertensive disorder are associated with these conditions, it is increasingly recognized that social determinants of health play a crucial role. This study aims to measure the associations between the social vulnerability index (SVI) and these perinatal morbidities using multivariate logistic regression models. The results indicate that factors across all four themes in SVI are significantly associated with these conditions. These findings suggest that interventions targeting these areas are needed to achieve better reproductive health. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
6. The Impact and Usability of the eRIC System in the ICU - A Qualitative Study.
- Author
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LI, Julie, HARDIE, Rae-Anne, DAHM, Maria R., and GEORGIOU, Andrew
- Subjects
INTENSIVE care units ,ACADEMIC medical centers ,MEDICAL information storage & retrieval systems ,ATTITUDES of medical personnel ,RESEARCH methodology ,CROSS-sectional method ,CONFERENCES & conventions ,INTERVIEWING ,DIGITAL health ,QUALITATIVE research ,WORKFLOW ,CRITICAL care medicine ,HEALTH attitudes ,CLINICAL medicine ,ELECTRONIC health records ,PHYSICIANS ,PATIENT safety - Abstract
The Intensive Care Unit (ICU) is an information-intense environment where more patient data points are recorded than in other wards. The electronic Record for Intensive Care (eRIC) is an ICU information system that integrates patient data every minute from multiple systems. Once implemented across New South Wales (NSW), eRIC will be one of the largest system-wide ICU clinical information systems in the world. This study explored experiences with the use of eRIC by ICU clinicians at an Australian metropolitan teaching hospital. Semistructured, in-depth interviews relating to physician electronic test management processes were conducted with 11 ICU clinicians and one clinical information system manager was observed in their use of the system. The introduction of eRIC resulted in an additional patient record, which was perceived to hold implications for workflow and patient safety. Study findings are valuable for informing implementation as the rollout of eRIC continues. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
7. An Online Community for Patient with Psoriasis with Built-in Self-Reported Questionnaires.
- Author
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Colussi, Giuliana, Inda, Delfina, Bruchanski, Lucila, Binder, Fernando, Henandez, Barbara, Bollea, Maria Luz, Cura, María Julia, Galimberti, María Laura, Mazzuoccolo, Luis, Sommer, Janine, Plazzotta, Fernando, and Luna, Daniel
- Subjects
PSORIASIS treatment ,DERMATOLOGISTS ,ACADEMIC medical centers ,USER interfaces ,SELF-evaluation ,CONFERENCES & conventions ,SEVERITY of illness index ,ONLINE social networks ,QUESTIONNAIRES ,MEDICAL records ,QUALITY of life ,DESCRIPTIVE statistics ,PATIENT-professional relations ,MEDICAL appointments ,INFORMATION storage & retrieval systems - Abstract
This study presents an online psoriasis community developed with dermatologists in a PHR. We describe the interaction of users with this platform and the relationship between the use of self-report questionnaires, their results and users' subsequent contact with the healthcare system. Out of 2175 users that interacted with the platform, 477 visited the forums. 60% of those who completed questionnaires presented at least one abnormal result that prompted a recommendation for an outpatient visit. Although our data suggest a trend, we failed to find a statistically significant association between questionnaire severity and visits scheduling. To our knowledge, this is the first study that analyses the relationship between patient self-reported disease severity and the subsequent contact with the healthcare system. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
8. Just Talk to Me - A Qualitative Study of Patient Satisfaction in Emergency Departments.
- Author
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Haug, Maximilian, Dahm, Maria, Gewald, Heiko, and Georgiou, Andrew
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HOSPITAL emergency services ,ACADEMIC medical centers ,RESEARCH methodology ,PATIENT satisfaction ,CONFERENCES & conventions ,PATIENTS ,INTERVIEWING ,PATIENTS' attitudes ,QUALITATIVE research ,HEALTH literacy ,COMMUNICATION ,EMERGENCY medical services ,SOUND recordings ,RESEARCH funding ,PATIENT-professional relations ,INFORMATION needs - Abstract
Communication between patients and hospital staff is a vital part of patient satisfaction and can contribute to better healthcare outcomes. Especially in emergency departments, where the workload is high, it is difficult to always address the communication needs of patients. In a qualitative study, we interviewed 32 patients in emergency departments in Australia. We found that, in the context of the emergency department, the characteristics of the source assumes an essential role in the appraisal of information. Especially if patients show low health literacy hospital staff needs to engage with them. It is important that patients feel informed as this increases patient satisfaction, even though they may not fully understand the delivered information. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
9. Testing a Novel Inpatient Respiratory Depression Electronic Clinical Quality Measure (eCQM) for Orthopedic Practice in Two Large U.S. Health Systems.
- Author
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Syrowatka, Ania, Troy Li, Curtin-Bowen, Mica, Pullman, Avery, Lipsitz, Stuart R., Sain-laire, Michael, Wenyu Song, Tien Thai, Businger, Alexandra, Bozic, Kevin J., Jiranek, William A., Lieberman, Jay R., Bates, David W., and Dykes, Patricia C.
- Subjects
RESPIRATORY diseases ,STATISTICS ,ACADEMIC medical centers ,KEY performance indicators (Management) ,RESEARCH evaluation ,CONFERENCES & conventions ,INTERVIEWING ,ACQUISITION of data ,ARTIFICIAL joints ,HOSPITAL care ,CLINICAL medicine ,QUALITY assurance ,DESCRIPTIVE statistics ,MEDICAL records ,ORTHOPEDICS ,ELECTRONIC health records ,LOGISTIC regression analysis ,DATA analysis ,LONGITUDINAL method ,DISEASE complications - Abstract
The objective of this study was to assess the feasibility of using an electronic clinical quality measure (eCQM) to assess inpatient respiratory depression rates following elective primary total hip or total knee arthroplasty using data routinely collected in electronic health records. Measure testing was conducted at two large urban, academic health systems -- Mass General Brigham and a geographically distant system in southern U.S. The risk-adjusted inpatient respiratory depression rates were 3.83 and 2.73% for the two health systems, respectively. Clinician group rates ranged from 1.40 to 4.35%, demonstrating opportunity for improvement. Both the data and measure specifications showed strong reliability and validity to allow for calculation of accurate and comparable rates of inpatient respiratory depression. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
10. Characterizing Frequent Flyers of an Emergency Department Using Cluster Analysis.
- Author
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Shehada, Emile Ramez, Lu He, Eikey, Elizabeth V., Jen, Maxwell, Wong, Andrew, Young, Sean D., and Kai Zheng
- Subjects
HOSPITAL overcrowding ,ACADEMIC medical centers ,CLUSTER analysis (Statistics) ,HEALTH of older people ,DATA mining - Abstract
Emergency department (ED) overcrowding has been a pain point in hospitals across the globe. “Frequent flyers,” who visited the ED at a much higher rate than average, account for almost one third of ED visits even though they represent only a small proportion of all ED patients. In this study, we used datamining methods to cluster ED frequent flyers at a large academic medical center in the US. The objective was to identify distinct types of frequent flyers, and the common characteristics associated with each type. The results show that the frequent flyers at the ED have three subgroups each exhibiting distinct characteristics: (1) the elderly with chronic health conditions, (2) middle-aged males with unhealthy behavior, and (3) adult females who are generally healthy. These findings may inform targeted interventional strategies for patients of each subgroup, who likely have distinct reasons for visiting the ED frequently, to reduce ED overcrowding. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
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