Article
Computer Science, Information Systems
Yuriy Pylypchuk, Chad D. Meyerhoefer, William Encinosa, Talisha Searcy
Summary: The study found that hospitals' adoption of a new electronic health record (EHR) developer increases patient sharing with hospitals using the same developer. Consolidation in the EHR industry has led to higher patient sharing among hospitals with the same EHR developer, which may impact patient flow and healthcare outcomes across hospitals.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Computer Science, Information Systems
Jordan Everson, Vaishali Patel, Julia Adler-Milstein
Summary: The study surveyed health information exchange organizations to assess the prevalence of information blocking behaviors. It found that a majority of HIEs reported EHR vendors and health systems engaging in information blocking, with vendors setting unreasonably high prices and health systems refusing to share information being common behaviors. Information blocking was found to be concentrated in certain geographic regions, reflecting regional competition among vendors.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Computer Science, Information Systems
Jacek Kryszyn, Kamil Cywoniuk, Waldemar T. Smolik, Damian Wanta, Przemyslaw Wroblewski, Mateusz Midura
Summary: This article examines the performance of a system based on the openEHR standard and compares it with a proprietary system. The study found that the system based on the proprietary data model had better performance in terms of medical data fetching. However, the openEHR-based system may face performance issues due to the additional software layer introduced.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Julia Adler-Milstein, Ariel Linden, Renee Y. Hsia, Jordan Everson
Summary: To investigate the relationship between hospital electronic connection and emergency department utilization rates.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Letter
Computer Science, Interdisciplinary Applications
Aya Gamal, Sherif Barakat, Amira Rezk
Summary: This paper discusses the issues with current Health Information Exchange and proposes a solution of transitioning to an integrated universal health information infrastructure to support real-time HIE and big data analytics. However, achieving HIS integration still requires significant effort.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Sung J. Choi, Min Chen, Xuan Tan
Summary: The widespread exchange of electronic health information (HIE) is crucial for reducing costs and improving healthcare quality, but it also poses cybersecurity risks. This study aims to empirically examine the impact of hospitals' engagement in HIE on their data breach risk.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Health Care Sciences & Services
Rohin Rathin Shah, Joseph Peter Bailey
Summary: Despite the benefits of interoperability, seamless exchange of health information is limited among provider groups. They often have asymmetrical interoperability, where they exchange information in certain directions but not others, which raises concerns.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Computer Science, Information Systems
Alexandra K. Mullins, Helen Skouteris, David Rankin, Heather Morris, Kostas Hatzikiriakidis, Joanne Enticott
Summary: This study explores the factors associated with the use of Australia's national personally controlled Health Information Exchange (HIE) system by emergency department clinicians. The results indicate that pharmacists are the main users of HIE in the emergency department, and HIE is mostly used by older patients who are likely to be admitted.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Review
Health Care Sciences & Services
Sahar Borna, Michael J. Maniaci, Clifton R. Haider, Karla C. Maita, Ricardo A. Torres-Guzman, Francisco R. Avila, Julianne J. Lunde, Jordan D. Coffey, Bart M. Demaerschalk, Antonio J. Forte
Summary: This article discusses the utilization of AI models in Health Information Exchange (HIE) and evaluates their predictive capabilities and limitations. The study found that machine learning models, particularly in oncology and cardiac failures, have shown high accuracy in predicting clinical outcomes. However, variations in sensitivity metrics pose challenges.
Article
Medical Informatics
Daniel M. Walker, Willi L. Tarver, Pallavi Jonnalagadda, Lorin Ranbom, Eric W. Ford, Saurabh Rahurkar
Summary: This study aimed to identify current challenges and opportunities to advancing interoperability across stakeholders. Primary data were collected through qualitative, semistructured interviews with stakeholders. The findings illuminate themes related to challenges and opportunities for interoperability that align with technological, organizational, and environmental domains.
JMIR MEDICAL INFORMATICS
(2023)
Review
Health Care Sciences & Services
Edmond Li, Jonathan Clarke, Hutan Ashrafian, Ara Darzi, Ana Luisa Neves
Summary: This study aimed to examine the impact of EHR interoperability on patient safety and care quality in high-income healthcare settings. The findings showed that EHR interoperability had positive effects on medication safety, reducing patient safety events, and lowering costs. However, the heterogeneity in outcome measures used and variation in study quality make it difficult to determine the true extent of these effects.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Computer Science, Information Systems
Nate C. Apathy, Joshua R. Vest, Julia Adler-Milstein, Justin Blackburn, Brian E. Dixon, Christopher A. Harle
Summary: The study assessed factors associated with provider health information exchange (HIE) use and found that usage during referrals is low among office-based providers, especially primary care providers. Practice-level factors were more commonly associated with higher levels of HIE use, while market-level factors were unrelated.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Computer Science, Information Systems
Sunny C. Lin, Ozcan Tunalilar
Summary: Adoption of electronic health records (EHRs) and health information exchange (HIE) is crucial to improving care in assisted living communities (ALC). The study found that adoption of both EHR and HIE functions increased significantly from 2010 to 2018. However, the adoption of HIE functions lagged behind EHR functions and there were growing disparities in adoption among smaller, nonchain, and for-profit communities. Targeted policies are needed to support adoption of EHR and HIE functions in ALC to improve care for this important population.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Dingding Xiao, Chong Song, Naoki Nakamura, Masaharu Nakayama
Summary: The study aimed to convert clinical data from EHRs into FHIR data format and present them using a PHR application, which may accelerate the sharing of clinical information between doctors and patients. Conversion of SS-MIX2 data into FHIR was successfully demonstrated, and a PHR application was launched to display patients' clinical information retrieved from the FHIR server.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Review
Health Care Sciences & Services
Ah Ra Lee, Il Kon Kim, Eunjoo Lee
Summary: With the advancement of digital healthcare, personal health records have become crucial, but face challenges in portability when individuals move across countries. To address this issue, establishing a transnational health information infrastructure with interoperability guidelines is essential.