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

Sendak, Mark P.

Balu, Suresh

Schulman, Kevin A.

Date

2017

In publication

Applied Clinical Informatics

Volume

8

Issue

3

Pages

826-831

Resource type

en Research/Scholarly Media

Medium

en Print

Background/context type

en Other

Open access/free-text available

en Yes

Peer reviewed

en Yes

Language

en

ISSN

1869-0327

DOI

10.4338/ACI-2017-03-CR-0046

URL

Open Access Publisher's Webpage (Thieme)

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

Abbreviation

Appl Clin Inform

Rights

Schattauer GmbH

Item sets

Handbook Chapter 20 Citations

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