scholarly journals Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China

10.2196/19515 ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. e19515 ◽  
Author(s):  
Qing Ye ◽  
Jin Zhou ◽  
Hong Wu

Background The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks. Objective The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective. Methods In this study, we collected health information technology–related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology–related measures and methods. Results Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19. Conclusions Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic.

2020 ◽  
Author(s):  
Qing Ye ◽  
Jin Zhou ◽  
Hong Wu

BACKGROUND The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks. OBJECTIVE The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective. METHODS In this study, we collected health information technology–related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology–related measures and methods. RESULTS Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19. CONCLUSIONS Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic.


2020 ◽  
Vol 27 (11) ◽  
pp. 1798-1801 ◽  
Author(s):  
Matthew S Pantell ◽  
Julia Adler-Milstein ◽  
Michael D Wang ◽  
Aric A Prather ◽  
Nancy E Adler ◽  
...  

Abstract As evidence of the associations between social factors and health outcomes continues to mount, capturing and acting on social determinants of health (SDOH) in clinical settings has never been more relevant. Many professional medical organizations have endorsed screening for SDOH, and the U.S. Office of the National Coordinator for Health Information Technology has recommended increased capacity of health information technology to integrate and support use of SDOH data in clinical settings. As these efforts begin their translation to practice, a new subfield of health informatics is emerging, focused on the application of information technologies to capture and apply social data in conjunction with health data to advance individual and population health. Developing this dedicated subfield of informatics—which we term social informatics—is important to drive research that informs how to approach the unique data, interoperability, execution, and ethical challenges involved in integrating social and medical care.


2008 ◽  
Vol 1 ◽  
pp. BII.S2007 ◽  
Author(s):  
Sanjaya Joshi

A review of the current challenges, trends and initiatives around the various regulations as related to Health Informatics in the United States is presented. A summary of the functions in a workflow-based approach organized into the process and compliance for HIPAA, secure email and fax communications interfaces, e-prescriptions and patient safety and the health information technology savings claims versus costs follows: • HIPAA compliance is complex; data interoperability and integration remains difficult. • Email and faxing is possible with current over-the-shelf technologies within the purview of the HIPAA Security and Privacy rule. • Integration of e-prescribing and NPI data is an area where health informatics can make a real difference. • Medical errors remain high. • There are no real savings yet from the usage of health information technologies; the costs for implementation remain high, and the business model has not evolved to meet the needs. • Health Information Technology (Health IT) projects continue to have a significant failure rate; Open Source technologies are a viable alternative both for cost reduction and scalability. A discussion on the macro view of health informatics is also presented within the context of healthcare models and a comparison of the U.S. system against other countries.


2011 ◽  
pp. 2387-2410
Author(s):  
Avnish Rastogi ◽  
Tugrul Daim ◽  
Joseph Tan

As health organizations strive to improve operational efficiencies and increase worker productivity, new forms of health information technologies (HITs) are constantly being developed. This article surveys the extant HIT literature and adopts a case analysis approach to identifying emerging health information technologies. The understanding of HIT trend is further enriched through the applications of technology-forecasting techniques, specifically, scenario analysis and U.S. patent searches. The article focuses on five emerging HITs and their impact on the future of U.S. Healthcare Services Delivery.


2021 ◽  
Author(s):  
Tomas Hambili Paulo Sanjuluca ◽  
Ricardo Cruz-Correia ◽  
Anabela Antunes Almeida

Abstract Background COVID19 pandemic has shown the importance of data to manage health crises. Therefore, countries that were more mature regarding using Information Systems (IS) were better prepared to respond to their population needs. Unfortunately, in Angola, such Health Information Systems (HIS) maturity is very low, so new Health Information Technology (HIT) projects must change this scenario. Objective Describe the impact of COVID19 on a new health information technology project called "ObsCare Lubango" to collect essential data on deliveries and births at the Maternity Hospital in Lubango-Angola. Methods Retrieve data from the notes, communication events of the project management. Also, the collected data regarding obstetrics (pregnancies and childbirth) was from Jan 2019 to Apr 2021 (14 months before COVID19 and 14 months after the beginning of COVID19). The data analyzed were collected from the utilization audit trail that stores the sessions and clicks in the application logs. These logs are then presented in aggregated and anonymized form in a web interface. Results The start of COVID19 in Maternity halted the evolution of the health information project implementation. At the beginning of 2020, the usage of ObsCare Lubango was growing steadily (5.9%, 7.5%, 9.4% in the first three months), but rapidly dropped to 0% in the following months after the first of COVID arrived in late March. Conclusion COVID19 had a significant impact on the evolution of ObsCare Lubango and heavily impacted the quality of the data collected in the paper. COVID19 will probably increase the digital divide in health care between nations.


2018 ◽  
Vol 12 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Morteza Hemmat ◽  
Haleh Ayatollahi ◽  
Mohammadreza Maleki ◽  
Fatemeh Saghafi

Background and Objective:Planning for the future of Health Information Technology (HIT) requires applying a systematic approach when conducting foresight studies. The aim of this study was to identify key health information technologies and related issues for Iran until 2025.Methods:This was a qualitative study and the participants included experts and policy makers in the field of health information technology. In-depth semi-structured interviews were conducted and data were analyzed by using framework analysis and MAXQDA software.Results:The findings revealed that the development of national health information network, electronic health records, patient health records, a cloud-based service center, interoperability standards, patient monitoring technologies, telehealth, mhealth, clinical decision support systems, health information technology and mhealth infrastructure were found to be the key technologies for the future. These technologies could influence the economic, organizational and individual levels. To achieve them, the economic and organizational obstacles need to be overcome.Conclusion:In this study, a number of key technologies and related issues were identified. This approach can help to focus on the most important technologies in the future and to priorities these technologies for better resource allocation and policy making.


Author(s):  
Eric L. Eisenstein ◽  
Maqui Ortiz ◽  
Kevin J. Anstrom ◽  
David F. Lobach

This chapter describes a framework for conducting economic analyses of health information technologies (HIT). It explains the basic principles of healthcare economic analyses and the relationships between the costs and effectiveness of a health intervention, and then uses these principles to explain the types of data that need to be gathered in order to conduct a health information technology economic evaluation study. A current health information technology study is then used to illustrate the incorporation of the framework’s economic analysis methods into an ongoing research project. Economic research in the field of health information technology is not yet well developed. This chapter is meant to educate researchers about the need for HIT economic analyses as well as provide a structured framework to assist them in conducting these analyses.


2016 ◽  
Vol 25 (01) ◽  
pp. 163-169 ◽  
Author(s):  
J. Ash ◽  
M. Berg ◽  
E. Coiera

Summary Introduction: The introduction of health information technology into clinical settings is associated with unintended negative consequences, some with the potential to lead to error and patient harm. As adoption rates soar, the impact of these hazards will increase. Objective: Over the last decade, unintended consequences have received great attention in the medical informatics literature, and this paper seeks to identify the major themes that have emerged. Results: Rich typologies of the causes of unintended consequences have been developed, along with a number of explanatory frameworks based on socio-technical systems theory. We however still have only limited data on the frequency and impact of these events, as most studies rely on data sets from incident reporting or patient chart reviews, rather than undertaking detailed observational studies. Such data are increasingly needed as more organizations implement health information technologies. When outcome studies have been done in different organizations, they reveal different outcomes for identical systems. From a theoretical perspective, recent advances in the emerging discipline of implementation science have much to offer in explaining the origin, and variability, of unintended consequences. Conclusion: The dynamic nature of health care service organizations, and the rapid development and adoption of health information technologies means that unintended consequences are unlikely to disappear, and we therefore must commit to developing robust systems to detect and manage them.


2016 ◽  
Vol 25 (01) ◽  
pp. 70-72 ◽  
Author(s):  
A. Almerares ◽  
D. Luna ◽  
A. Marcelo ◽  
M. Househ ◽  
H. Mandirola ◽  
...  

SummaryBackground: Patient safety concerns every healthcare organization. Adoption of Health information technology (HIT) appears to have the potential to address this issue, however unanticipated and undesirable consequences from implementing HIT could lead to new and more complex hazards. This could be particularly problematic in developing countries, where regulations, policies and implementations are few, less standandarized and in some cases almost non-existing.Methods: Based on the available information and our own experience, we conducted a review of unintended consequences of HIT implementations, as they affect patient safety in developing countries.Results: We found that user dependency on the system, alert fatigue, less communications among healthcare actors and workarounds topics should be prioritize. Institution should consider existing knowledge, learn from other experiences and model their implementations to avoid known consequences. We also recommend that they monitor and communicate their own efforts to expand knowledge in the region.


Sign in / Sign up

Export Citation Format

Share Document