Information Systems Resilience: The Role of Flexibility and Stability

This paper contributes to conceptualization of information system resilience. By building upon and extending the framework of Heeks and Ospina (2019), we argue that an information system's ability to be resilient lies in its balance between stability and flexibility. Based on empirical findings we suggest that a stable core and flexibility to change is crucial when a digital system is faced with unforeseen adversities. We hope to contribute to more theorizing of the information system resilience and inspire further research on this subject. The paper may also have practical value for stakeholders working with implementation of national information systems in the health sector. This is a qualitative case study conducted together with the Health Information Systems Programme (HISP) at the Institute of Informatics, University of Oslo. Our findings are based on empirical insights related to the DHIS2 software during the Covid-19 response. © 2022 Owner/Author.

Evaluation of antibody levels for COVID-19 patients who attended a laboratory in Buenos Aires city

At the end of 2019 the first cases of SARS-CoV-2-associated pneumonia were reported in China. Consequently, the World Health Organization (WHO) named it COVID-19 and in January 2020, it declared the international health emergency due to the worldwide rapid spread of the infection. The first cases in Argentina were detected in early March 2020. Molecular tests like RT PCR and LAMP were immediately used. Serological tests for antibody detection were approved a few months later;however, these are still not the preferred diagnostic method for the disease. In our laboratory, the latter began to be used during the first wave of COVID-19. With the results obtained in that moment, an observational retrospective study in a cohort of patients who came voluntarily to test for SARS-CoV-2 IgG antibodies and whose results were positive was performed. The notification rate to the Argentine Integrated System for Health Information (SISA for its acronym in Spanish) was calculated and antibody levels were evaluated, clustering them according to the following facts: if the event had been notified to the SISA and if they had a previous RT PCR/LAMP result, the symptoms experienced by these patients and the time elapsed between RT PCR/LAMP and antibody test results. It was not possible to demonstrate differences between patients with detectable and undetectable RT PCR/LAMP, neither with the type of declared symptoms nor with respect to the days elapsed post-infection. However, it was found that there was a significant difference between notified and non-notified patients, and a high rate of non-notified patients with positive antibodies. Therefore, antibodies level might be considered as a surrogate marker of SARS-CoV-2 contact when a diagnosis through molecular methods is not available.

Attitude and Practices of self-medication among the students of Sialkot Medical College, Sialkot

Background: During covid-19 period not only general public was victim of anxiety besides all medical professional also face anxiety and change their Information seeking behaviour according their personality. Curiosity is in human nature with the easy access to internet the new horizon to information has been opened. People searching trends have shown that they are interested in health risk to health treatment for their health related problems. Aim(s): In this study examined the influences of anxiety (ISA) and Personality traits (PT) on health information seeking behaviour (HISB) among the Doctor, paraprofessional and final year medical students who are frontline worker during pandemic situation. Methodology: The study adopted survey method with non-probability convenience sampling to collect statistical. Questionnaires werefiled from 313 participants by utilizing convenient sampling and analyzing the data through SPSS. Result(s): The result showed that significant relation between personality traits, information seeking anxiety and health information seeking behaviour. In medical library user PT has significant impact on HISB (p<.05), (AVG_PT=.002) and ISA has impact on HISB but it is not significant in medical professional (beta -.070) value shows ISA has negative impact on HISB. Practical implication: This study will be beneficial for information professionals, health care workers, policy makers and administrators to access of information resources in hybrid format. Conclusion(s): Medical professional's plays an important role in our society. They work hard and served the nation during pandemic situation. Anxiety is natural phenomena to every person. So medical professional also feel anxietybut the medical profession demands its professionals to stay cool, calm and free of anxiety by having analytical and cognitive skills, in order to fulfill the needs of their profession. This research helps to understand that ISA has no significant impact on HISB while PT has significant impact on HISB.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.

Development of a Web-Portal Health Information System for Barangay

In the Philippines, a barangay is the smallest administrative unit serving as suburban neighborhoods' first line of defense. According to Bautista, barangays conduct a manual file-based process of storing the community's health information. Therefore, the need for a single platform enables a small government unit to manage its resources while being transparent to its community. The study aims to develop a web- based barangay health information system portal for Barangay 69 District 1 in Tondo Manila. The system would be a reference tool for barangays as their platform provides inventory management, the barangay's health programs, and a dashboard for data visualization inventory management, tracking of Covid cases, administration of health activities, and a dashboard for data visualization. As a result, the web portal is functional, and different test scenarios show above-average results. The study concludes that the system provided a platform for the barangay and its residents. It also concludes that it is user-friendly and efficiently disseminates the barangay's health programs and activities. © 2023 IEEE.

Online News Coverage of COVID-19 Long Haul Symptoms.

A number of the people who have recovered from the acute effects of COVID-19 are facing long term sequelae from the infection. As the COVID-19 pandemic is still evolving, so is knowledge of the long-term effects of the virus on patients who still experience symptoms. Clearly, news media play a crucial role in distributing information and this distribution of information can, in turn, influence the actions of the public. The purpose of this study was to describe the content of news coverage of COVID-19 long haul symptoms currently posted on the internet. This study utilized Google News, a news aggregator service, and included the first 100 English language pieces of news. Video content and news article content were coded in depth for information on COVID-19 long haul symptoms. A total of 41% of news reports mentioned the length of time that the COVID-19 related symptoms persist. The length of time was reported to range from 1 month to more than 1 year. The symptom most commonly mentioned was tiredness or fatigue (74%), followed by difficulty breathing or shortness of breath (62 cases; 62%), and difficulty thinking or concentrating (50 cases; 50%). Other symptoms were mentioned less frequently. There were no statistically significant differences in any of the content including having video, written news reports, or both video and written news reports by source of the news reports based on consumer, professional, or television or internet-based news (p = .14). More complete coverage by online news media of the long-term effects of COVID-19 enhances public awareness of the post-acute syndromes, augments health providers' awareness of the range of chronic COVID-19 effects and the possibility of a second infection, increases the probability of patients' seeking and obtaining the proper care for their symptoms, and contributes to preventive actions for enhancing public health.

Ethical issues in the use of leftover samples and associated personal data obtained from diagnostic laboratories.

Diagnostic laboratories are an integral part of the research ecosystem in biomedical sciences. Among other roles, laboratories are a source of clinically-characterized samples for research or diagnostic validation studies. Particularly during the COVID-19 pandemic, this process was entered by laboratories with different experience in the ethical management of human samples. The objective of this document is to present the current ethical framework regarding the use of leftover samples in clinical laboratories. Leftover samples are defined as the residue of a sample that has been obtained and used for clinical purposes, and would otherwise be discarded. Secondary use of samples typically demands institutional ethical oversight and informed consent by the participants, although the latter requirement could be exempted when the harm risks are sufficiently small. However, ongoing discussions have proposed that minimal risk is an insufficient argument to allow the use of samples without consent. In this article, we discuss both positions, to finally suggest that laboratories anticipating the secondary use of samples should consider the adoption of broad informed consent, or even the implementation of organized biobanking, in order to achieve higher standards of ethical compliance which would enhance their capacity to fulfill their role in the production of knowledge.

Understanding information (in)equity: influencing factors and medical information's role in bridging the gap.

Medical Information in the pharmaceutical industry involves the creation and dissemination of evidence-based scientific medical content in response to questions about medicines and therapy areas for patients and healthcare professionals. Health information equity can be broadly defined as the distribution of health information in a way that is accessible and understandable to all users, allowing them to benefit and reach their full potential for health. Ideally, this information would be made available to all those in need across the globe. However, as demonstrated by the COVID-19 pandemic, widespread health discrepancies exist. The World Health Organization defines health inequity as differences in health status or in the distribution of health resources between different population groups. Health inequities are influenced by the social conditions in which people are born, grow, live, work and age. This article explains select key factors influencing health information inequity and addresses opportunities where Medical Information departments can make a difference to improve global public health.

Determinants of COVID Vaccination Willingness among Health and Non-Health Studies Students: A Cross-Sectional Study.

Students, as a relatively health-informed population group, may still have limitations in health literacy, which is a concern as students take increasing responsibility for their health and make independent health decisions. The aim of this study was to evaluate the overall attitudes towards COVID vaccination among university students and to investigate various factors contributing to vaccination willingness among health and non-health studies students. A total of 752 students from the University of Split were included in this cross-sectional study and completed a questionnaire that consisted of three sections: socio-demographic data, health status information, and information on vaccination against COVID-19. Results show that the majority of students of health and natural sciences were willing to be vaccinated, but the majority of students of social sciences were not (p < 0.001). Students who used credible sources of information had a more significant proportion of those willing to be vaccinated and the majority of students who used less credible sources (79%) or did not think about it (68.8%) were unwilling to be vaccinated (p < 0.001). Multiple binary logistic regression modeling shows that female gender, younger age, studying social sciences, negative opinion about the need to reintroduce lockdown and the effectiveness of epidemiological measures, and usage of less credible sources of information were the most important factors contributing to increased vaccination hesitancy. Therefore, improving health literacy and restoring trust in relevant institutions can be critical in health promotion and COVID-19 prevention.

Collaborating for COVID-19: Hospital Health Information Exchange and Public Health Partnership.

Background: The coronavirus disease (COVID-19) pandemic highlighted the need for effective communication and information sharing among health care organizations and public health systems (PHSs). Health information exchange (HIE) plays a vital role in improving quality control and efficiency in hospital settings, particularly in underserved areas. Objective: This study aimed to investigate the variation of HIE availability among hospitals based on their collaboration with the PHS and affiliation with Accountable Care Organizations (ACOs) in 2020, as well as variation by community social determinants of health. Methods: The primary data set used for this study comprised the linked data set of the 2020 American Hospital Association (AHA) Annual Survey and the AHA Information Technology Supplement. The measures used included the hospital's participation in HIE networks, availability of data exchange, and HIE measures during the COVID-19 pandemic, including whether hospitals effectively received electronically transmitted information from outside providers for COVID-19 treatment. Results: The sample size of hospitals ranged from 1,316 to 1,436, depending on different outcomes related to HIE questions. Of the hospitals surveyed, ∼67% reported public health collaboration and ACO affiliation, while 7% reported neither. Hospitals without public health collaboration or ACO affiliation were more likely to be located in underserved areas. Compared with hospitals without public health collaboration or ACO affiliation, hospitals with both were 9% more likely to report the availability of electronically transmitted clinical information from outside providers and to participate in local and national HIE networks. Furthermore, these hospitals were 30% (marginal effect [ME] = 0.30, p < 0.001) more likely to report effective receipt of information from outside providers for COVID-19 treatment and 12% (ME = 0.12, p = 0.02) more likely to always/often receive clinical information for COVID-19 treatment electronically. Conclusions: Hospital collaboration with the PHS and ACO affiliation are associated with greater availability of electronic health data, particularly during the COVID-19 pandemic.

Integrating Telehealth for Strengthening Health Systems in the Context of the COVID-19 Pandemic: A Perspective from Peru.

The COVID-19 pandemic forced the government to rapidly modify its legal framework to adopt telemedicine and promote the implementation of telehealth services to meet the healthcare needs of patients in Peru. In this paper, we aim to review the main changes to the regulatory framework and describe selected initiatives to promote the telehealth framework that emerged in Peru during the COVID-19 pandemic. In addition, we discuss the challenges to integrate telehealth services for strengthening health systems in Peru. The Peruvian telehealth regulatory framework began in 2005, and in subsequent years, laws and regulations were established that sought to progressively implement a national telehealth network. However, mainly local initiatives were deployed. In this sense, significant challenges remain to be addressed, such as infrastructure in healthcare centers, including high-speed Internet connectivity; infostructure of health-information systems, including interoperability with electronic medical records; monitoring and evaluation of the national agenda for the health sector in 2020-2025; expanding the healthcare workforce in terms of digital health; and developing the capacities of healthcare users on health literacy, including digital aspects. In addition, there is enormous potential for telemedicine as a key strategy to deal with the COVID-19 pandemic and to improve access to rural and hard-to-reach areas and populations. There is thus an urgent need to effectively implement an integrated national telehealth system to address sociocultural issues and strengthen the competencies of human resources in telehealth and digital health in Peru.

Health worker registries: managing the health care workforce

Registries play an instrumental role in facilitating the transfer, aggregation, and analysis of standardized data in health information exchange (HIE). One such example is a health worker registry (HWR), a central, authoritative registry that maintains the unique identities of health workers according to a defined, minimum data set. Currently, data comprising workers' information—such as education, licensure, and place of employment—are collected through disparate methods and maintained in a variety of information systems. Harmonization of these data via an HWR can support interoperability and comparability of worker information across systems, thereby facilitating efficient workforce enumeration, planning, regulation and deployment, verification of training and education, identification of workforce shortages, and rapid communication and coordination of emergency response. In fact, HWR technologies played a role in coordinating response to both Ebola in West Africa in 2014 and more recently in response to COVID-19, making a HWR integral to nations' infrastructure upgrades postpandemic. This chapter identifies who is considered a "health worker” and why a registry of these individuals is a useful component of an HIE, especially in the wake of the COVID-19 pandemic. It also provides guidance on selection of data elements and standards to include in the development of an HWR. © 2023 Elsevier Inc. All rights reserved.

Facility registries: metadata for where care is delivered

Comprehensively identifying and monitoring health facilities where care is delivered is critical to care coordination as well as public health. This became poignantly clear during the COVID-19 pandemic. Currently, few sources exist which can provide canonical identification of healthcare facilities. Furthermore, quantifying facility-specific services and infrastructure in a standard manner ranges from insufficient to nonexistent. A health facility registry provides a central authority to store, manage, and share health facility identification, services, and resources data with a wide range of stakeholders. Such universal collection and standardization of these data may support care coordination, public health responsiveness, quality improvement, health services research, health service planning, and health policy development. This chapter introduces the concept of a facility registry and provides scenarios in which stakeholders would benefit from facility data. The chapter further discusses unique identifiers, data collection, and the metadata necessary for establishing and maintaining a facility registry. © 2023 Elsevier Inc. All rights reserved.

Introduction to health information exchange

To support health care and public health in managing the array of information available about patients and populations, health systems have adopted a variety of information and communications technologies (ICT). Examples include electronic health record systems that document patient symptoms, diseases, and medications as well as health care processes. Yet, many ICT systems operate as islands unto themselves, unable to connect or share information with other ICT systems. Such fragmentation of data and information is an impediment to achieving the goal of efficient, coordinated health care delivery. It was further a major challenge during the COVID-19 pandemic when information was rapidly needed yet challenging to access. Health information exchange (HIE) seeks to address the challenges of connecting disparate ICT systems, enabling information to be available when and where it is needed by clinicians, administrators, and public health authorities. This chapter robustly defines HIE, including its core components and various forms. This chapter further discusses the role of HIE in supporting care delivery and public health. © 2023 Elsevier Inc. All rights reserved.

Digital health literacy and online informationseeking behavior of Lebanese university students in the time of the COVID-19 pandemic and infodemic

This cross-sectional study evaluated digital health literacy (DHL) and web-based information-seeking behavior of Lebanese university students. A total of 602 students (60.1% female), 21.5 years (±4.1), participated in May-August 2020 in an online survey. We found that 76.2% used the Internet, in the past month, for COVID-19-related information. Those with a chronic health impairment more often had limited DHL for adding self-generated content (OR=0.448;95 % CI=0.185, 1.085) and for determining relevance (OR=0.276;95 %CI=0.114-0.670). Students in graduate studies had higher odds of having sufficient DHL for adding self-generated content (OR=2.328;95 % CI=1.104, 4.909) and evaluating reliability (OR=2.318;95 % CI=1.149, 4.679). Users of official sources of information had higher odds (OR=1.665;95 % CI=1.065, 2.605) of having sufficient DHL for adding self-generated content. Regular users of social media had lower odds (OR=0.576;95 % CI=0.358, 0.928) of having sufficient DHL for evaluating reliability. Self-efficacy, in this case one's potential to accomplish a search for reliable health information and adopt it in daily life, could improve with DHL. As such, health education needs to strengthen DHL competencies in university students, particularly among undergraduates, those relying on social media, and those with an existing health impairment © Copyright 2023 Author(s). This is an open access article distributed under the terms of the Creative Commons CC-BY 4.0 License (https://creativecommons.org/licenses/by/4.0/)

The Impact of Internet health information on adherence to COVID-19 protocols

Introduction: The only way to limit the prevalence of COVID-19 is to adhere strictly to health protocol. In this regard, WHO has provided the information needed to prevent and deal with this disease on its website. To investigate the Impact of Internet Health Information on Adherence to COVID-19 Protocols, in Iran. Material and Methods: This is a cross-sectional survey and structural equation modeling which is done by students of at the Kerman University of Medical Science, Iran. The data collection tool was a questionnaire. SPSS 22.0, and SmartPLS 3software were used to analyze the data. Results: The present study investigated the impact of health information on the WHO website on adherence to COVID-19 protocols among the students of the Kerman University of Medical Sciences. The bootstrapping results indicate relationships between health information seeking constructs and information quality, satisfaction, and reputation. Regarding the other six hypotheses in the present study, it is predicted that they will be rejected in a larger sample. Conclusion: Online information is now available more easily, quickly, and at a lower cost compared to other sources, it should be constantly monitored and constantly improved in quality. Its usefulness, ease of use, accuracy, recency, and simplicity should be constantly investigated. © 2022, Published by Frontiers in Health Informatics.

Future directions for health information exchange

Health information exchange (HIE) now exists in diverse forms within and across countries. However, our HIE infrastructure is fragmented, which impedes the ability to meet the needs of varied data sharing use cases—particularly public health data needs that became evident during the COVID-19 pandemic. In response, several efforts—some within the United States and some outside the United States—have started to undertake work to help tie existing HIE approaches together into a more seamless whole. While the societal benefits of doing so are clear, there are substantial cost and complexity involved, leaving it an open question as to how successful they will be. This chapter describes three major efforts underway to advance HIE infrastructure at scale—the Trusted Exchange Framework and Common Agreement (a US policy strategy), the Joint Action Towards the European Health Data Space (an EU initiative), and the emerging concept of health data utility models as more comprehensive repositories of health data with strong government requirements for participation. For each, we describe the effort as well as discuss potential challenges to implementation and success in achieving the intended outcomes. We also discuss a complementary issue related to health data integration and usability of exchanged health information that will become more acute as efforts to advance data sharing at scale are pursued. © 2023 Elsevier Inc. All rights reserved.

Health information systems evaluation criteria: Overview of systematic reviews

Introduction: Health information systems play an important role in improving the quality of patient care and patient safety. to ensure their effectiveness and efficiency, they need to be evaluated. Although HIS evaluation has been investigated in many studies, there is no consensus on which aspects of HIS to evaluate. The aim of this study is to identify the indicators for the evaluation of health information systems and to provide an overview of the criteria devised and studies conducted. Material and Methods: An umbrella review was performed exploring databases PubMed, Science direct, Web of Science, Science, and IEEE while following the PRISMA protocol. Articles were reviewed by two authors independently using the covidence tool to check the inclusion criteria and to extract the data items. Risk of bias was assessed using ROBIS and AMSTAR. Results: All included studies showed a high risk of bias according to ROBIS criteria. The extracted evaluation criteria were classified into 13 categories. Most of the studies believe that a more reliable and standardized tool is needed for the evaluation of health information systems. Two studies mentioned that surveys and questionnaires were the most commonly used method for evaluation of the systems. Summative evaluation was the most used method in two studies and the least used method in another one study. Conclusion: All the included studies had high risk of bias. Accordingly, further research and evidence is needed in this field. Most of the studies highlighted the need for more reliable and standardized tools for evaluation of health information systems. © 2022 Published by Frontiers in Health Informatics.

Best Practices for the Design of COVID-19 Dashboards.

Since 2020, health informaticians have developed and enhanced public-facing COVID-19 dashboards worldwide. The improvement of dashboards implemented by health informaticians will ultimately benefit the public in making better healthcare decisions and improve population-level healthcare outcomes. The authors evaluated 100 US city, county, and state government COVID-19 health dashboards and identified the top 10 best practices to be considered when creating a public health dashboard. These features include 1) easy navigation, 2) high usability, 3) use of adjustable thresholds, 4) use of diverse chart selection, 5) compliance with the Americans with Disabilities Act, 6) use of charts with tabulated data, 7) incorporated user feedback, 8) simplicity of design, 9) adding clear descriptions for charts, and 10) comparison data with other entities. To support their findings, the authors also conducted a survey of 118 randomly selected individuals in six states and the District of Columbia that supports these top 10 best practices for the design of health dashboards.

Large Language Model as Unsupervised Health Information Retriever.

Retrieving health information is a task of search for health-related information from a variety of sources. Gathering self-reported health information may help enrich the knowledge body of the disease and its symptoms. We investigated retrieving symptom mentions in COVID-19-related Twitter posts with a pretrained large language model (GPT-3) without providing any examples (zero-shot learning). We introduced a new performance measure of total match (TM) to include exact, partial and semantic matches. Our results show that the zero-shot approach is a powerful method without the need to annotate any data, and it can assist in generating instances for few-shot learning which may achieve better performance.

Leaflet information by the local government on mental health during the coronavirus disease 2019 pandemic: a cross-sectional study in a rural area in Japan.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic and associated infodemic increased depression and anxiety. Proper information can help combat the infodemic and promotes mental health; however, rural residents have more difficulties in getting correct information than urban residents. OBJECTIVE: To examine whether the information on COVID-19 provided by the local government maintained the mental health of rural residents in Japan. METHODS: A self-administered questionnaire survey of Okura Village (northern district of Japan) residents aged ≥16 years was conducted in October 2021. The main outcomes, depressive symptoms, psychological distress, and anxiety were measured using the Center for Epidemiologic Studies Depression Scale, Kessler Psychological Distress Scale, and Generalized Anxiety Disorder scale 7-item. Exposure was defined as whether the resident read the leaflet on COVID-19 distributed by the local government. The targeted maximum likelihood estimation was used to analyse the effect of leaflet reading on the main outcomes. RESULTS: A total of 974 respondents were analysed. Reading the leaflet was significantly lower risk for depressive symptoms relative risk (95% confidence interval): 0.64 (0.43-0.95). Meanwhile, no clear effects of leaflet reading were observed on mental distress and anxiety. CONCLUSIONS: In rural areas with local governments, analogue information may be effective to prevent depression.