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Background: Spontaneous adverse drug reaction (ADR) reporting has been described as an efficient method to detect drug safety signals. However, under-reporting is a major issue undermining the effectiveness of spontaneous reports. Among hospitalized patients, ADRs are a particularly serious problem because these patients are often treated with more than one drug, and these drugs are often new and aggressive.Objective: To promote spontaneous ADR reporting by healthcare professionals working in hospitals in the northern regions of Portugal, we propose the inclusion of a hyperlink to an online ADR reporting form on hospitals' electronic patient records (EPRs). The main aim of this study was to evaluate the impact of these hyperlinks on the number of spontaneous ADR reports to the Northern Pharmacovigilance Centre (UFN - Unidade de Farmacovigilância do Norte). We also assess the number of daily UFN website visits before and after the inclusion of the hyperlinks.Methods: An ecological study was performed in northern Portuguese hospitals from 2006 to 2010. The hyperlinks were included in either EPRs or on computer desktops. The median of spontaneous ADR reports (total and online) per month and the respective ranges were presented before and after the intervention in all hospitals in this study. The comparisons were performed using the Mann-Whitney U-test.Results: Sixteen hospital centres were involved in the study (27 hospitals). Eleven centres (18 hospitals) included the hyperlinks. Considering the hospitals with hyperlink access to the EPRs, the median ADR reports per month significantly increased, from two (range 0-12) to five reports (range 1-17). The median of ADR reports per month using the online form also increased significantly, from one (range 0-5) before the intervention to four (range 1-17) after it. Moreover, serious ADRs increased 3-fold, and non-previously described ADRs increased 4.5-fold. None of these significant increases were observed in the hospitals where the hyperlink was not installed. We also found a significant increase in daily UFN website visits, from ten before the intervention to 27 after it (p < 0.001).Conclusion: The increase in ADR reporting shows that the inclusion of hyperlinks to online ADR reporting forms is an easy and cost-effective way to change health professional behaviours with regard to spontaneous ADR reports. [ABSTRACT FROM AUTHOR]

Data retrieval and its integration is one of the major problems that face large and complex health organizations. This is especially relevant when patient information is produced in heterogeneous environments. Implementing a Virtual Electronic Patient Record (VEPR) system may provide an adequate and cost-effective solution for most clinical information needs. In this paper, we describe and discuss the use of agent technologies for the retrieval and integration of clinical records in a VEPR, thus making patient information available at any point of care. Between May 2003 and May 2004, a VEPR was designed and implemented at Hospital S. João, a university hospital with over 1350 beds. An agent-based platform Multi-Agent System for Integration of Data (MAID®) ensures the communication among various hospital information systems. Clinical reports are retrieved from clinical department information systems (DIS) and stored into a central repository in a browser friendly format. Documents are retrieved in HTML and PDF format and are digitally signed at storage. MAID is now running for the last 12 months, regularly scanning 7 DIS and collecting a mean of 2800 new reports each day. A visualization module for the VEPR was made available in October 2004 and the number of users and user sessions has been growing since. Currently, over 340 doctors are using the system on a daily basis. The total budget of the project was less than 400 000 euros. Around 30% of the costs were spent in software development and MAID accounted for only 13% of the total project budget. The use of agent technologies in the implementation of a VEPR enabled the successful integration of a large amount of heterogeneous data that could then be accessed from any workstation in the hospital Intranet. As few changes were required to be made in the existing DIS, the implementation has been done over a relatively short period of time and the stress in the organization was low. Optimization of the scheduling algorithm, automatic notification of health professionals, introspection of clinical reports, retrieval of XML report representations and extension of VEPR to health centres are priorities for future research and development. We strongly believe that agent technologies can and should be used to solve complex data integration and communication problems, which are crucial to the quality of patient care. [ABSTRACT FROM AUTHOR]

Abstract Background The identification of clinically relevant information enables improvement in user interfaces and in data management. However, it is difficult to identify what information is important in daily clinical care, and what is used occasionally. This study aims to determine for how long clinical documents are used in a Hospital Information System (HIS). Methods The access logs of 3 years of usage of a HIS were analysed concerning report departmental source, type of hospital encounter, and inpatient encounter ICD-9-CM main diagnosis. Reports median life indicates the median time elapsed between information creation and its usage. The models that better explains report views over time were explored. Results The number of report views in the study period was 656 583. Fifty two percent of the reports viewed by medical doctors in emergency encounters were from previous encounters - 21% at outpatient attendance, 19% in inpatient (wards) and 12% during emergency encounters. In an inpatient setting, 20% of the reports viewed were produced in previous encounters. The median life of information in documents is 1.5 days for emergency, 4.8 days for inpatient and 37.8 days for outpatient encounters. Immune-haemotherapy reports reach their median lives faster (7 days) than clinical pathology (15 days), gastroenterology (80 days) and pathology (118 days). The median life of reports produced in inpatient encounters varied from 36 days for neoplasms as the main diagnosis to 0.7 days for injury and poisoning. The model with the best fit (R2 > 0.9) was the exponential. Conclusions The usage of past patient information varied significantly according to patient age, type of information, type of hospital encounter and medical cause (main diagnosis) for the encounter. The exponential model is a good fit to model how the reports are seen over time, so the design of user interfaces and repository management algorithms should take it in consideration.

Abstract Background The concurrent management of allergic rhinitis and asthma (ARA) has been recommended by Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines. However, a tool capable of assessing simultaneously the control of upper and lower airways diseases is lacking. Aim To describe the studies conducted to design the control of ARA test (CARAT) questionnaire. Methods We performed a literature review to generate a list of potentially important items for the assessment of control of ARA. A formal consensus development process, that used an innovative web-based application, was designed – 111 experts in ARA and 60 patients participated. At the final consensus meeting, 25 primary and secondary care physicians formulated the questions and response options. A qualitative feasibility study (n = 31 patients) was conducted to evaluate the comprehensibility of the questionnaire while testing two different designs. Results Thirty-four potentially important items were identified. All the steps of the consensus process were completed in 2.5 months. The opinions of experts and patients lead to the formulation of 17 questions. At the feasibility study the instructions and wording problems were corrected and a semi-tabular format was chosen. Conclusion A tool to measure the control of allergic rhinitis and asthma was developed using a comprehensive set of methodological steps ensuring the design quality and the face and content validity. Additional validation studies to assess the psychometric properties of the questionnaire have started.

Abstract Background The integration of Information Systems (IS) is essential to support shared care and to provide consistent care to individuals – patient-centred care. This paper identifies, appraises and summarises studies examining different approaches to integrate patient data from heterogeneous IS. Methods The literature was systematically reviewed between 1995–2005 to identify articles mentioning patient records, computers and data integration or sharing. Results Of 3124 articles, 84 were included describing 56 distinct projects. Most of the projects were on a regional scale. Integration was most commonly accomplished by messaging with pre-defined templates and middleware solutions. HL7 was the most widely used messaging standard. Direct database access and web services were the most common communication methods. The user interface for most systems was a Web browser. Regarding the type of medical data shared, 77% of projects integrated diagnosis and problems, 67% medical images and 65% lab results. More recently significantly more IS are extending to primary care and integrating referral letters. Conclusion It is clear that Information Systems are evolving to meet people's needs by implementing regional networks, allowing patient access and integration of ever more items of patient data. Many distinct technological solutions coexist to integrate patient data, using differing standards and data architectures which may difficult further interoperability.

Background: Vascular access (VA) is a central condition for hemodialysis (HD). Screening patients' views regarding their VA is a significant end point for improving the quality of care. The Short-form Vascular Access Questionnaire (SF-VAQ) is a specific questionnaire to assess patients' satisfaction levels regarding their VA., Purpose: This study aims to develop the Portuguese version of the SF-VAQ and assess its psychometric properties., Methods: A forward and back translation was used. A multicentric study was conducted with 156 patients undergoing hemodialysis to psychometric testing. Reliability (internal consistency and test-retest) was assessed using Cronbach's alpha and Intraclass Correlation Coefficient. A construct validity test was conducted using factor analysis. The convergent validity was calculated using the correlation coefficient., Results: An obtained Cronbach's alpha of 0.77 indicates good internal consistency. The test-retest reliability was established using the Intraclass Correlation Coefficient (ICC) of 0.771. The four sub-scales proposed by the instrument's designer were confirmed, which together accounted for 53% of the variance. The correlation with the Visual Analogue Scale was r  = 0.895 ( p  < 0.001), confirming the convergent validity., Conclusion: The Portuguese version of the SF-VAQ is a valid and reliable instrument with good psychometric properties to be implemented to promote an evaluation of VA satisfaction in HD patients and improve patient care., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

One approach to enriching the Learning Health System (LHS) is leveraging vital signs and data from wearable technologies. Blood oxygen, heart rate, respiration rates, and other data collected by wearables (like sleep and exercise patterns) can be used to monitor and predict health conditions. This data is already being collected and could be used to improve healthcare in several ways. Our approach will be health data interoperability with HL7 FHIR (for data exchange between different systems), openEHR (to store researchable data separated from software but connected to ontologies, external terminologies and code sets) and maintain the semantics of data. OpenEHR is a standard that has an important role in modelling processes and clinical decisions. The six pillars of Lifestyle Medicine can be a first attempt to change how patients see their daily decisions, affecting the mid to long-term evolution of their health. Our objective is to develop the first stage of the LHS based on a co-produced personal health recording (CoPHR) built on top of a local LLM that interoperates health data through HL7 FHIR, openEHR, OHDSI and terminologies that can ingest external evidence and produces clinical and personal decision support and, when combined with many other patients, can produce or confirm evidence.

Background: The literature is consensual regarding the academic community exhibiting higher levels of mental disorder prevalence than the general population. The potential of digital mental health apps for improving access to resources to cope with these issues is ample. However, studies have yet to be performed in Portugal on individuals' attitudes and perceptions toward digital mental health applications or their preferences and decision drivers on obtaining mental health care, self-assessment, or treatment., Objective: This study aims to understand the determinants of digital mental health applications use in the Portuguese academic community of Porto, along with potential adoption barriers and enablers., Methods: A cross-sectional, web-based survey was delivered via dynamic email to the University of Porto's academic community. Data collection occurred between September 20 and October 20, 2022. We used structural equation modeling to build three models, replicating a peer-reviewed and published study and producing a newly full mediation model shaped by the collected data. We tested the relationships between use of digital mental health apps and perceived stress, perceived need to seek help for mental health, perceived stigma, past use of mental health services, privacy concerns, and social influence., Results: Of the 539 participants, 169 (31.4%) reported having used digital mental health apps. Perceived stress and a latent variable, comprising perceptions of mental health problems and coping strategies, were positively associated with mental health app use, while privacy concerns regarding one's information being accessible to others were negatively associated. Perceived stigma, need to seek help, and close relationships did not have a statistically significant direct effect., Conclusions: These findings can inform product and policy development of new, better-targeted digital mental health app interventions, with implications for researchers and academia, industry, and policymakers. Our study concludes that, to maximize adherence to these apps, they should have low to no financial charges, demonstrate evidence of their helpfulness and focus on the timely delivery of care. We also conclude that to foster digital mental health app use, there is a need to improve mental health literacy, namely regarding self-awareness of one's conditions, acceptable stress levels, and overall behavior towards mental health., Trial Registration: RR2-10.2196/41040., (© 2024. The Author(s).)

Background: The escalating prevalence of cesarean delivery globally poses significant health impacts on mothers and newborns. Despite this trend, the underlying reasons for increased cesarean delivery rates, which have risen to 36.3% in Portugal as of 2020, remain unclear. This study delves into these issues within the Portuguese health care context, where national efforts are underway to reduce cesarean delivery occurrences., Objective: This paper aims to introduce a machine learning, algorithm-based support system designed to assist clinical teams in identifying potentially unnecessary cesarean deliveries. Key objectives include developing clinical decision support systems for cesarean deliveries using interoperability standards, identifying predictive factors influencing delivery type, assessing the economic impact of implementing this tool, and comparing system outputs with clinicians' decisions., Methods: This study used retrospective data collected from 9 public Portuguese hospitals, encompassing maternal and fetal data and delivery methods from 2019 to 2020. We used various machine learning algorithms for model development, with light gradient-boosting machine (LightGBM) selected for deployment due to its efficiency. The model's performance was compared with clinician assessments through questionnaires. Additionally, an economic simulation was conducted to evaluate the financial impact on Portuguese public hospitals., Results: The deployed model, based on LightGBM, achieved an area under the receiver operating characteristic curve of 88%. In the trial deployment phase at a single hospital, 3.8% (123/3231) of cases triggered alarms for potentially unnecessary cesarean deliveries. Financial simulation results indicated potential benefits for 30% (15/48) of Portuguese public hospitals with the implementation of our tool. However, this study acknowledges biases in the model, such as combining different vaginal delivery types and focusing on potentially unwarranted cesarean deliveries., Conclusions: This study presents a promising system capable of identifying potentially incorrect cesarean delivery decisions, with potentially positive implications for medical practice and health care economics. However, it also highlights the challenges and considerations necessary for real-world application, including further evaluation of clinical decision-making impacts and understanding the diverse reasons behind delivery type choices. This study underscores the need for careful implementation and further robust analysis to realize the full potential and real-world applicability of such clinical support systems., (©João Coutinho-Almeida, Alexandrina Cardoso, Ricardo Cruz-Correia, Pedro Pereira-Rodrigues. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.04.2024.)

Background: The integration of artificial intelligence (AI) technologies, such as ChatGPT, in the educational landscape has the potential to enhance the learning experience of medical informatics students and prepare them for using AI in professional settings. The incorporation of AI in classes aims to develop critical thinking by encouraging students to interact with ChatGPT and critically analyze the responses generated by the chatbot. This approach also helps students develop important skills in the field of biomedical and health informatics to enhance their interaction with AI tools., Objective: The aim of the study is to explore the perceptions of students regarding the use of ChatGPT as a learning tool in their educational context and provide professors with examples of prompts for incorporating ChatGPT into their teaching and learning activities, thereby enhancing the educational experience for students in medical informatics courses., Methods: This study used a mixed methods approach to gain insights from students regarding the use of ChatGPT in education. To accomplish this, a structured questionnaire was applied to evaluate students' familiarity with ChatGPT, gauge their perceptions of its use, and understand their attitudes toward its use in academic and learning tasks. Learning outcomes of 2 courses were analyzed to propose ChatGPT's incorporation in master's programs in medicine and medical informatics., Results: The majority of students expressed satisfaction with the use of ChatGPT in education, finding it beneficial for various purposes, including generating academic content, brainstorming ideas, and rewriting text. While some participants raised concerns about potential biases and the need for informed use, the overall perception was positive. Additionally, the study proposed integrating ChatGPT into 2 specific courses in the master's programs in medicine and medical informatics. The incorporation of ChatGPT was envisioned to enhance student learning experiences and assist in project planning, programming code generation, examination preparation, workflow exploration, and technical interview preparation, thus advancing medical informatics education. In medical teaching, it will be used as an assistant for simplifying the explanation of concepts and solving complex problems, as well as for generating clinical narratives and patient simulators., Conclusions: The study's valuable insights into medical faculty students' perspectives and integration proposals for ChatGPT serve as an informative guide for professors aiming to enhance medical informatics education. The research delves into the potential of ChatGPT, emphasizes the necessity of collaboration in academic environments, identifies subject areas with discernible benefits, and underscores its transformative role in fostering innovative and engaging learning experiences. The envisaged proposals hold promise in empowering future health care professionals to work in the rapidly evolving era of digital health care., (©Sabrina Magalhães Araujo, Ricardo Cruz-Correia. Originally published in JMIR Medical Education (https://mededu.jmir.org), 20.03.2024.)

Background: Over the last decade, the frequency and size of cyberattacks in the health care industry have increased, ranging from breaches of processes or networks to encryption of files that restrict access to data. These attacks may have multiple consequences for patient safety, as they can, for example, target electronic health records, access to critical information, and support for critical systems, thereby causing delays in hospital activities. The effects of cybersecurity breaches are not only a threat to patients' lives but also have financial consequences due to causing inactivity in health care systems. However, publicly available information on these incidents quantifying their impact is scarce., Objective: We aim, while using public domain data from Portugal, to (1) identify data breaches in the public national health system since 2017 and (2) measure the economic impact using a hypothesized scenario as a case study., Methods: We retrieved data from multiple national and local media sources on cybersecurity from 2017 until 2022 and built a timeline of attacks. In the absence of public information on cyberattacks, reported drops in activity were estimated using a hypothesized scenario for affected resources and percentages and duration of inactivity. Only direct costs were considered for estimates. Data for estimates were produced based on planned activity through the hospital contract program. We use sensitivity analysis to illustrate how a midlevel ransomware attack might impact health institutions' daily costs (inferring a potential range of values based on assumptions). Given the heterogeneity of our included parameters, we also provide a tool for users to distinguish such impacts of different attacks on institutions according to different contract programs, served population size, and proportion of inactivity., Results: From 2017 to 2022, we were able to identify 6 incidents in Portuguese public hospitals using public domain data (there was 1 incident each year and 2 in 2018). Financial impacts were obtained from a cost point of view, where estimated values have a minimum-to-maximum range of €115,882.96 to €2,317,659.11 (a currency exchange rate of €1=US $1.0233 is applicable). Costs of this range and magnitude were inferred assuming different percentages of affected resources and with different numbers of working days while considering the costs of external consultation, hospitalization, and use of in- and outpatient clinics and emergency rooms, for a maximum of 5 working days., Conclusions: To enhance cybersecurity capabilities at hospitals, it is important to provide robust information to support decision-making. Our study provides valuable information and preliminary insights that can help health care organizations better understand the costs and risks associated with cyber threats and improve their cybersecurity strategies. Additionally, it demonstrates the importance of adopting effective preventive and reactive strategies, such as contingency plans, as well as enhanced investment in improving cybersecurity capabilities in this critical area while aiming to achieve cyber-resilience., (©Diana Portela, Diogo Nogueira-Leite, Rafael Almeida, Ricardo Cruz-Correia. Originally published in JMIR Formative Research (https://formative.jmir.org), 30.06.2023.)

Background: Digital health apps are among the most visible facets of the ongoing digital transition in health care, with mental health-focused apps as one of the main therapeutic areas. However, concerns regarding their scientific robustness drove regulators to establish evaluation procedures, with Germany's Digitale Gesundheitsanwendungen program pioneering in app prescription with costs covered by statutory health insurance. Portugal gathers a set of conditions and requirements that position it as an excellent test bed for digital health apps. Its daunting mental health landscape reinforces the potential interest in new interventions. To understand if they would be acceptable, we need to understand the supply side's attitudes and perceptions toward them, that is, those of psychiatrists and psychologists., Objective: This study aims to understand the attitudes and expectations of psychiatrists and psychologists toward digital mental health apps (DMHAs) in the Portuguese context, as well as perceived benefits, barriers, and actions to support their adoption., Methods: We conducted a 2-stage sequential mixed methods study. Stage 1 consisted of a cross-sectional web survey adapted to the Portuguese context that was delivered to mental health professionals and psychologists. Stage 2 complemented the insights of the web survey results with a key opinion leader analysis., Results: A total of 160 complete survey responses were recorded, most of which were from psychologists. This is the most extensive study on mental health professionals' attitudes and perceptions of DMHAs in Portugal. A total of 87.2% (136/156) of the respondents supported the opportunity to prescribe DMHAs. Increased health literacy (139/160, 86.9%), wider adherence to treatment (137/160, 85.6%), and proper disease management (127/160, 79.4%) were the most frequently agreed upon benefits of DMHAs. However, only less than half (68/156, 43.6%) of the respondents planned to prescribe or recommend DMHAs, with psychologists being more favorable than psychiatrists. Professionals faced substantial barriers, such as a lack of information on DMHAs (154/160, 96.3%), the level of initial training effort (115/160, 71.9%), and the need for adjustments of clinical processes and records (113/160, 70.6%). Professionals reported that having more information on the available apps and their suitability for health objectives (151/160, 94.4%), more scientific evidence of the validity of the apps as a health intervention (147/160, 91.9%), and established recommendations of apps by specific clinical guidelines or professional societies (145/160, 90.6%) would be essential to foster adoption., Conclusions: More information about DMHAs regarding their clinical validity and how they work is necessary so that such an intervention can be adopted in Portugal. Recommendations from professional and scientific societies, as well as from governmental bodies, are strongly encouraged. Although the benefits of and the barriers to using these apps are consensual, more evidence, along with further promotion of mental health professionals' digital literacy, is needed., International Registered Report Identifier (irrid): RR2-10.2196/41040., (©Diogo Nogueira-Leite, José Miguel Diniz, Ricardo Cruz-Correia. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 02.06.2023.)

The European Health Data Space (EHDS) proposal aims to establish a set of rules and governance frameworks to promote the use of electronic health data for both primary and secondary purposes. This study aims at analysing the implementation status of the EHDS proposal in Portugal, particularly the points concerning the primary use of health data. The proposal was scanned for the points that gave member states a direct responsibility to implement actions, and a literature review and interviews were conducted to assess the implementation status of these policies in Portugal This study found that Portugal is well advanced in the implementation of policies concerning the rights of natural persons in relation to the primary use of their personal health data, but also identified challenges, which include the lack of a common interoperability framework for the exchange of electronic health data.

The Learning Health System (LHS) is an important tool to help healthcare professionals solve problems by collecting, analyzing, interpreting and comparing health data, with the objective of helping patients make the best decision based on their own data, given the best evidence available. [1]. We believe partial oxygen saturation of arterial blood (SpO2) and related measurements and calculations can also be candidates for predictions and analysis of health conditions. We intend to build a Personal Health Record (PHR) that can exchange data with Electronic Health Records (EHRs) from hospitals, propose enhanced self-care, seek a support network, or look for healthcare assistance, (primary care or emergency service).