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What Should Oversight of Clinical Decision Support Systems Look Like?
Evans, Emily L; Whicher, Danielle.
Affiliation
  • Evans EL; A program officer for the Clinical Effectiveness and Decision Science program at the Patient-Centered Outcomes Research Institute (PCORI) in Washington, DC, and served as a consultant to the Institute of Medicine Committee on Ethical and Scientific Issues in Studying the Safety of Approved Drugs and as a member of research teams at the Johns Hopkins School of Medicine.
  • Whicher D; A senior program officer for the Leadership Consortium for a Value and Science-Driven Health System at the National Academy of Medicine in Washington, DC, and previously a program officer for the Clinical Effectiveness and Decision Science program at the Patient-Centered Outcomes Research Institute, a project coordinator at the Johns Hopkins Berman Institute for Bioethics, and a guest lecturer at Johns Hopkins Bloomberg School of Public Health.
AMA J Ethics ; 20(9): E857-863, 2018 09 01.
Article in En | MEDLINE | ID: mdl-30242817
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Collection / Decision Support Systems, Clinical / Delivery of Health Care / Electronic Health Records / Clinical Decision-Making Type of study: Guideline / Prognostic_studies Aspects: Determinantes_sociais_saude / Ethics Limits: Humans Language: En Journal: AMA J Ethics Year: 2018 Document type: Article Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Collection / Decision Support Systems, Clinical / Delivery of Health Care / Electronic Health Records / Clinical Decision-Making Type of study: Guideline / Prognostic_studies Aspects: Determinantes_sociais_saude / Ethics Limits: Humans Language: En Journal: AMA J Ethics Year: 2018 Document type: Article Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA