Share:
Peer-Reviewed Publication
J Am Med Inform Assoc2025;32(4):755-760.April 1, 2025Journal Article

Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) Guides to update national recommendations for safe use of electronic health records.

Dean F Sittig1,2, Trisha Flanagan3, Patricia Sengstack4, Rosann T Cholankeril3, Sara Ehsan3, Amanda Heidemann5, Daniel R Murphy3,6, Hojjat Salmasian7, Jason S Adelman8,9, Hardeep Singh3,6
1Department of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, United States.
2Informatics Review LLC, Lake Oswego, OR 97034, United States.
3Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, United States.
4Vanderbilt University School of Nursing, Nashville, TN 37240, United States.
5Wolters Kluwer Health, St. Louis, MO 63146, United States.
6Department of Medicine, Baylor College of Medicine, Houston, TX 77030, United States.
7Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, United States.
8Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, United States.
9Department of Quality and Patient Safety, NewYork-Presbyterian Hospital, New York, NY 10032, United States.

Abstract

UNLABELLED: The Safety Assurance Factors for Electronic Health Record (EHR) Resilience (SAFER) Guides provide recommendations to healthcare organizations for conducting proactive self-assessments of the safety and effectiveness of their EHR implementation and use. Originally released in 2014, they were last updated in 2016. In 2022, the Centers for Medicare and Medicaid Services required their ann…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.