Barriers to Achieving Economies of Scale in Analysis of EHR Data
Item
Title
Barriers to Achieving Economies of Scale in Analysis of EHR Data
Abstract/Description
Signed in 2009, the Health Information Technology for Economic and Clinical Health Act infused $28 billion of federal funds to accelerate adoption of electronic health records (EHRs). Yet, EHRs have produced mixed results and have even raised concern that the current technology ecosystem stifles innovation. We describe the development process and report initial outcomes of a chronic kidney disease analytics application that identifies high-risk patients for nephrology referral. The cost to validate and integrate the analytics application into clinical workflow was $217,138. Despite the success of the program, redundant development and validation efforts will require $38.8 million to scale the application across all multihospital systems in the nation. We address the shortcomings of current technology investments and distill insights from the technology industry. To yield a return on technology investments, we propose policy changes that address the underlying issues now being imposed on the system by an ineffective technology business model.
Author/creator
Date
In publication
Volume
8
Issue
3
Pages
826-831
Resource type
Research/Scholarly Media
Medium
Print
Background/context type
Other
Open access/free-text available
Yes
Peer reviewed
Yes
ISSN
1869-0327
Citation
Sendak, M. P., Balu, S., & Schulman, K. A. (2017). Barriers to Achieving Economies of Scale in Analysis of EHR Data. Applied Clinical Informatics, 08(03), 826–831. https://doi.org/10.4338/ACI-2017-03-CR-0046
Rights
Schattauer GmbH
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