Evidence map›Paper›PMID 40220287›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

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 Sittig, Trisha Flanagan, Patricia Sengstack, Rosann T Cholankeril, Sara Ehsan, Amanda Heidemann, Daniel R Murphy, Hojjat Salmasian, Jason S Adelman, Hardeep Singh

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dean F SittigDepartment of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, United States.ORCID 0000-0001-5811-8915
Trisha FlanaganCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, United States.
Patricia SengstackVanderbilt University School of Nursing, Nashville, TN 37240, United States.ORCID 0000-0002-7807-2173
Rosann T CholankerilCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, United States.
Sara EhsanCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, United States.ORCID 0000-0003-2687-100X
Amanda HeidemannWolters Kluwer Health, St. Louis, MO 63146, United States.
Daniel R MurphyCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, United States.ORCID 0000-0002-2329-668X
Hojjat SalmasianDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, United States.ORCID 0000-0002-9004-7149
Jason S AdelmanDepartment of Medicine, Columbia University Irving Medical Center, New York, NY 10032, United States.ORCID 0000-0002-7497-257X
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, United States.ORCID 0000-0002-4419-8974

Funding

AHRQ HHS R01HS028595AHRQ HHS R01 HS029318AHRQ HHS R18 HS029347Center for Innovations in Quality, Effectiveness and Safety #CIN 13-413Department of Veterans Affairs National Center for Patient SafetyInformatics Review LLCNLM NIH HHSUS Assistant Secretary for Technology PlanningUS Assistant Secretary for Technology Planning to the Informatics Review LLCU.S. Department of Veterans Affairs National Center for Patient Safety
6 · The paper itself

Abstract

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 annual attestation by US hospitals.

objectivesThis case study describes how SAFER Guide recommendations were updated to align with current evidence and clinical practice. MATERIALS AND

methodsOver nine months, a multidisciplinary team updated SAFER Guides through literature reviews, iterative feedback, and online meetings.

resultsWe reduced the number of recommended practices across all Guides by 40% and consolidated 9 Guides into 8 to maximize ease of use, feasibility, and utility. We provide a 4-level evidence grading hierarchy for each recommendation and a new 5-point rating scale to self-assess implementation status of the recommendation. We included 429 citations of which 289 (67%) were published since the 2016 revision. DISCUSSION: SAFER Guides were revised to offer EHR best practices, adaptable to unique organizational needs, with interactive content available at: https://www.healthit.gov/topic/safety/safer-guides.

conclusionRevisions ensure that the 2025 SAFER Guides represent the best available current evidence for EHR developers and healthcare organizations.

Indexed as

Electronic Health RecordsPatient SafetySafety ManagementCenters for Medicare and Medicaid Services, U.S.Guidelines as TopicHumansUnited Stateselectronic health recordshealth policysafety

Identifiers

PMID40220287
PMCPMC12005625

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.