Browsing by Author "Subbian, Vignesh"

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    Clinical, technical, and implementation characteristics of real-world health applications using FHIR
    (Oxford University Press, 2022-10-12) Griffin, Ashley C.; He, Lu; Sunjaya, Anthony P.; King, Andrew J.; Khan, Zubin; Nwadiugwu, Martin; Douthit, Brian; Subbian, Vignesh; Nguyen, Viet; Braunstein, Mark; Jaffe, Charles; Schleyer, Titus; Medicine, School of Medicine
    Objective: Understanding the current state of real-world Fast Healthcare Interoperability Resources (FHIR) applications (apps) will benefit biomedical research and clinical care and facilitate advancement of the standard. This study aimed to provide a preliminary assessment of these apps' clinical, technical, and implementation characteristics. Materials and methods: We searched public repositories for potentially eligible FHIR apps and surveyed app implementers and other stakeholders. Results: Of the 112 apps surveyed, most focused on clinical care (74) or research (45); were implemented across multiple sites (56); and used SMART-on-FHIR (55) and FHIR version R4 (69). Apps were primarily stand-alone web-based (67) or electronic health record (EHR)-embedded (51), although 49 were not listed in an EHR app gallery. Discussion: Though limited in scope, our results show FHIR apps encompass various domains and characteristics. Conclusion: As FHIR use expands, this study-one of the first to characterize FHIR apps at large-highlights the need for systematic, comprehensive methods to assess their characteristics.
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    Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities
    (Pitt Open Library, 2024) Allee, Nancy J.; Perry, Gerald; Rios, Gabriel R.; Rubin, Joshua C.; Subbian, Vignesh; Swain, Deborah E.; Wheeler, Terrie R.; Ruth Lilly Medical Library, School of Medicine
    The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color. Health equity has subsequently emerged as a priority. Recognizing that the future of health care will be informed by advanced information technologies including artificial intelligence (AI), machine learning, and algorithmic applications, the authors argue that to advance towards states of improved health equity, health information professionals need to engage in and encourage the conduct of research at the intersections of health equity, health disparities, and computational biomedical knowledge (CBK) applications. Recommendations are provided with a means to engage in this mobilization effort.