Evidence map›Paper›PMID 31556076›Full record

ArticleApplied clinical informatics2019

Patient and Physician Perceptions of the Impact of Electronic Health Records on the Patient-Physician Relationship.

Margaret Eberts, Daniel Capurro

Abstract read
In one paragraph

Article in Applied clinical informatics, 2019. 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. Artificial Intelligence Scribes in Psychiatry.Focus (American Psychiatric Publishing) · 2025
    Article
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  3. Review
  4. Article
  5. Article
  6. The Implementation Chasm Hindering Genome-informed Health Care.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
    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

2 authors.

Margaret EbertsSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.
Daniel CapurroPontificia Universidad Catolica de Chile Facultad de Medicina, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLimited studies have been performed in South America to assess patient and physician perceptions of electronic health record (EHR) usage. We aim to study the perceptions of patients and physicians regarding the impact of EHRs on the patient-physician relationship.

methodsWe use a survey instrument to assess the physician computer experience and opinions regarding EHR impact on various aspects of patient care. An additional survey is used to assess patient opinions related to their medical visit. Surveys are administered in two outpatient clinics in a private, academic health care network.

resultsWhile a majority of physicians believed that EHRs have an overall positive impact on the quality of health care, many physicians had negative perceptions of the impact of EHRs on the patient-physician relationship. A majority of patients felt comfortable with their physician's use of the EHR and felt that their physician was able to maintain good personal contact while using the computer.

conclusionAlthough physicians believe EHRs have a generally positive impact on the overall quality of care, the EHR's impact on the patient-physician relationship is still of concern. Patients do not perceive a negative interference from the EHR on the patient-physician relationship.

Indexed as

Attitude to ComputersElectronic Health RecordsPhysician-Patient RelationsAdultAgedFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID31556076
PMCPMC6760987

What OpenQuestion holds

Textmetadata
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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.