Evidence map›Paper›PMID 33856353›Full record

ArticleJournal of medical Internet research2021

Usability of Electronic Health Record-Generated Discharge Summaries: Heuristic Evaluation.

Patrice D Tremoulet, Priyanka D Shah, Alisha A Acosta, Christian W Grant, Jon T Kurtz, Peter Mounas, Michael Kirchhoff, Elizabeth Wade

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Using FRAM visualisations in quality improvement projects: identifying and testing strategies to improve anticoagulant use in the perioperative process.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
    Article
  5. Review
  6. Review
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

8 authors.

Patrice D Tremoulet *Department of Psychology, Rowan University, Glassboro, NJ, United States.ORCID 0000-0003-0443-9806
Priyanka D ShahDevice Evaluation, ECRI, Plymouth Meeting, PA, United States.ORCID 0000-0002-6049-1134
Alisha A AcostaDepartment of Biochemistry, Rowan University, Glassboro, NJ, United States.ORCID 0000-0002-9246-064X
Christian W GrantDepartment of Psychology, Rowan University, Glassboro, NJ, United States.ORCID 0000-0002-3010-7357
Jon T KurtzDepartment of Computer Science, Rowan University, Glassboro, NJ, United States.ORCID 0000-0002-8151-5238
Peter MounasDepartment of Biological Sciences, Rowan University, Glassboro, NJ, United States.ORCID 0000-0002-0971-0127
Michael KirchhoffDepartment of Emergency Medicine, Cooper Medical School, Rowan University, Camden, NJ, United States.ORCID 0000-0002-5788-8333
Elizabeth WadeConcord Hospital, Concord, NH, United States.ORCID 0000-0003-4751-8651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObtaining accurate clinical information about recent acute care visits is extremely important for outpatient providers. However, documents used to communicate this information are often difficult to use. This puts patients at risk of adverse events. Elderly patients who are seen by more providers and have more care transitions are especially vulnerable.

objectiveThis study aimed to (1) identify the information about elderly patients' recent acute care visits needed to coordinate their care, (2) use this information to assess discharge summaries, and (3) provide recommendations to help improve the quality of electronic health record (EHR)-generated discharge summaries, thereby increasing patient safety.

methodsA literature review, clinician interviews, and a survey of outpatient providers were used to identify and categorize data needed to coordinate care for recently discharged elderly patients. Based upon those data, 2 guidelines for creating useful discharge summaries were created. The new guidelines, along with 17 previously developed medical documentation usability heuristics, were applied to assess 4 simulated elderly patient discharge summaries.

resultsThe initial research effort yielded a list of 29 items that should always be included in elderly patient discharge summaries and a list of 7 "helpful, but not always necessary" items. Evaluation of 4 deidentified elderly patient discharge summaries revealed that none of the documents contained all 36 necessary items; between 14 and 18 were missing. The documents each had several other issues, and they differed significantly in organization, layout, and formatting.

conclusionsVariations in content and structure of discharge summaries in the United States make them unnecessarily difficult to use. Standardization would benefit both patients, by lowering the risk of care transition-related adverse events, and outpatient providers, by helping reduce frustration that can contribute to burnout. In the short term, acute care providers can help improve the quality of their discharge summaries by working with EHR vendors to follow recommendations based upon this study. Meanwhile, additional human factors work should determine the most effective way to organize and present information in discharge summaries, to facilitate effective standardization.

Indexed as

Electronic Health RecordsPatient DischargeAgedDocumentationHeuristicsHumansPatient Discharge SummariesUnited Statescare coordinationdischarge summaryelderly patientselectronic health record (EHR)heuristic evaluationhuman factorspatient safetyusability

Identifiers

PMID33856353
PMCPMC8085750

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Registered trials

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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.