Title |
What Should Oversight of Clinical Decision Support Systems Look Like?
|
---|---|
Published in |
The AMA Journal of Ethic, September 2018
|
DOI | 10.1001/amajethics.2018.857 |
Pubmed ID | |
Authors |
Emily L Evans, Danielle Whicher |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 33% |
France | 2 | 22% |
United Kingdom | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 16% |
Student > Master | 4 | 11% |
Student > Doctoral Student | 3 | 8% |
Other | 3 | 8% |
Student > Bachelor | 3 | 8% |
Other | 4 | 11% |
Unknown | 14 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 19% |
Social Sciences | 3 | 8% |
Computer Science | 3 | 8% |
Nursing and Health Professions | 2 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Other | 5 | 14% |
Unknown | 15 | 41% |