Health Care in the Age of Interoperability: The Potential and Challenges
Abstract
It is hard to conceive of a better rationale for healthcare interoperability than the management of chronic disease. People in advanced, industrialized countries are living longer, and chronic disease rates among the elderly are on the rise in part because of lifestyle issues, such as obesity and inadequate exercise. As a result, the care of chronic diseases (such as hypertension, heart disease, diabetes, chronic lung disease, and chronic kidney disease) accounts for well over 90% of spending by Medicare, the U.S. health insurance program for people age 65 and over. The Agency for Healthcare Research and Quality has found that the top 5% of patients with four or more chronic diseases are responsible for 30% of all Medicare chronic disease spending. While just 17% of Medicare patients live with more than six chronic conditions, they account for half of all spending on beneficiaries with chronic disease.
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Coordinating care and sharing information between health and social care organizations can help determine if a patient is ready to be discharged, lowering readmissions.
“Coordinating care and sharing information between health and social care organizations can help determine if a patient is ready to be discharged, lowering readmissions [19].”
From Interoperability of heterogeneous health information systems: a systematic literature review (2023) · cites this paper as [19]
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“Coordinating care and sharing information between health and social care organizations can help determine if a patient is ready to be discharged, lowering readmissions [19].”
BackgroundAn Efficiency Random Forest Algorithm for Classification of Patients with Kidney Dysfunction
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“Efforts by standards organizations such as Health Level Seven International (HL7) have sought to address this issue by offering EHR-agnostic services, data models and languages to improve interoperability across EHRs and organizations [4-6].”
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Rijo, R., Martinho, R., de Oliveira, A. A., et al. (2019) · International Journal of E-Health and Medical Communications · doi:10.4018/ijehmc.2020040106 · Cited by 3 · see citing works
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Saha, C., Saha, S., & Karim, D. Z. (2023) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit60459.2023.10441551
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Loseto, G., Patella, G., Ardito, C. A., et al. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-61688-4_8
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“Elderly individuals living alone face unique challenges that can compromise their safety and well-being [2], [3].”
Torab-Miandoab, A., Samad‐Soltani, T., Jodati, A., & Rezaei‐Hachesu, P. (2023) · Figshare · doi:10.6084/m9.figshare.22612778
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Contributions of AI to Advance Interoperability with Data Mediators
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- Authors
- Braunstein, M. L.
- Affiliations
- Georgia Institute of Technology (US)
- Corresponding author
- Braunstein, Mark L.
- ORCID
- Braunstein, Mark L.
- Venue
- IEEE Pulse
- Published
- 2018-09
- Volume
- 9
- Issue
- 5
- Pages
- 34-36
- ISSN
- 2154-2287 (ISSN-L)
- 2154-2317
- OpenAlex
- W2894099694
- Cited by
- 20
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 6 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 1
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Pulse (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
- Keywords
- healthcare interoperability, chronic disease management, Medicare spending, polypharmacy, health information technology, health information exchange, health care costs, elderly patients
- MeSH terms
- Chronic Disease, Costs and Cost Analysis, Medicare, Humans, United States
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