Evidence map›Paper›PMID 27539198›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2017

Developing an evidence base of best practices for integrating computerized systems into the exam room: a systematic review.

Minal R Patel, Jennifer Vichich, Ian Lang, Jessica Lin, Kai Zheng

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Improving Patient-Provider Communication and Therapeutic Practice Through Better Integration of Electronic Health Records in the Exam Room: A Pilot Study.Health education & behavior : the official publication of the Society for Public Health Education · 2019
    Trial
  3. Observer: creation of a novel multimodal dataset for outpatient care research.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  4. Observer: Creation of a Novel Multimodal Dataset for Outpatient Care Research.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Field Investigation of Ambulatory Clinic Exam Room Design with respect to Computing Devices: A Pilot Study.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2018
    Article
  16. Article
  17. Ambulatory Clinic Exam Room Design with respect to Computing Devices: A Laboratory Simulation Study.IISE transactions on occupational ergonomics and human factors · 2018
    Article
  18. 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

5 authors.

Minal R PatelDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
Jennifer VichichDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
Ian LangDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
Jessica LinDepartment of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI.
Kai ZhengDepartment of Informatics, Donald Bren School of Information and Computer Sciences, University of California Irvine, Irvine, CA, USA.

Funding

AHRQ HHS R21 HS023786
6 · The paper itself

Abstract

objectiveThe introduction of health information technology systems, electronic health records in particular, is changing the nature of how clinicians interact with patients. Lack of knowledge remains on how best to integrate such systems in the exam room. The purpose of this systematic review was to (1) distill "best" behavioral and communication practices recommended in the literature for clinicians when interacting with patients in the presence of computerized systems during a clinical encounter, (2) weigh the evidence of each recommendation, and (3) rank evidence-based recommendations for electronic health record communication training initiatives for clinicians.

methodsWe conducted a literature search of 6 databases, resulting in 52 articles included in the analysis. We extracted information such as study setting, research design, sample, findings, and implications. Recommendations were distilled based on consistent support for behavioral and communication practices across studies.

resultsEight behavioral and communication practices received strong support of evidence in the literature and included specific aspects of using computerized systems to facilitate conversation and transparency in the exam room, such as spatial (re)organization of the exam room, maintaining nonverbal communication, and specific techniques that integrate the computerized system into the visit and engage the patient. Four practices, although patient-centered, have received insufficient evidence to date. DISCUSSION AND

conclusionWe developed an evidence base of best practices for clinicians to maintain patient-centered communications in the presence of computerized systems in the exam room. Further work includes development and empirical evaluation of evidence-based guidelines to better integrate computerized systems into clinical care.

Indexed as

Electronic Health RecordsPhysician-Patient RelationsCommunicationEvidence-Based PracticeHumansMedical Records Systems, ComputerizedPractice Management, Medicalelectronic health recordsevidence-basehealth information technologypatient-clinician communication

Identifiers

PMID27539198
PMCPMC7651892

What OpenQuestion holds

Textmetadata
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.