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What Should Oversight of Clinical Decision Support Systems Look Like?

Overview of attention for article published in AMA Journal of Ethics, September 2018
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16 Mendeley
Title
What Should Oversight of Clinical Decision Support Systems Look Like?
Published in
AMA Journal of Ethics, September 2018
DOI 10.1001/amajethics.2018.857
Pubmed ID
Abstract

A learning health system provides opportunities to leverage data generated in the course of standard clinical care to improve clinical practice. One such opportunity includes a clinical decision support structure that would allow clinicians to query electronic health records (EHRs) such that responses from the EHRs could inform treatment recommendations. We argue that though using a clinical decision support system does not necessarily constitute a research activity subject to the Common Rule, it requires more ethical and regulatory oversight than activities of clinical practice are generally subjected to. In particular, we argue that the development and use of clinical decision support systems should be governed by a framework that (1) articulates appropriate conditions for their use, (2) includes processes for monitoring data quality and developing and validating algorithms, and (3) sufficiently protects patients' data.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Student > Doctoral Student 3 19%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Lecturer > Senior Lecturer 1 6%
Other 3 19%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 6 38%
Computer Science 2 13%
Economics, Econometrics and Finance 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Psychology 1 6%
Other 3 19%
Unknown 2 13%