Evidence map›Paper›PMID 19130148›Full record

ArticleJournal of general internal medicine2009

Primary care physicians' use of an electronic medical record system: a cognitive task analysis.

Aviv Shachak, Michal Hadas-Dayagi, Amitai Ziv, Shmuel Reis

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 7 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

59 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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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

4 authors.

Aviv ShachakGalil Center for Telemedicne, Medical informatics and Personalized Medicine, The R&B Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel. aviv.shachak@utoronto.ca
Michal Hadas-Dayagi
Amitai Ziv
Shmuel Reis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe physicians' patterns of using an Electronic Medical Record (EMR) system; to reveal the underlying cognitive elements involved in EMR use, possible resulting errors, and influences on patient-doctor communication; to gain insight into the role of expertise in incorporating EMRs into clinical practice in general and communicative behavior in particular.

designCognitive task analysis using semi-structured interviews and field observations.

participantsTwenty-five primary care physicians from the northern district of the largest health maintenance organization (HMO) in Israel.

resultsThe comprehensiveness, organization, and readability of data in the EMR system reduced physicians' need to recall information from memory and the difficulty of reading handwriting. Physicians perceived EMR use as reducing the cognitive load associated with clinical tasks. Automaticity of EMR use contributed to efficiency, but sometimes resulted in errors, such as the selection of incorrect medication or the input of data into the wrong patient's chart. EMR use interfered with patient-doctor communication. The main strategy for overcoming this problem involved separating EMR use from time spent communicating with patients. Computer mastery and enhanced physicians' communication skills also helped.

conclusionsThere is a fine balance between the benefits and risks of EMR use. Automaticity, especially in combination with interruptions, emerged as the main cognitive factor contributing to errors. EMR use had a negative influence on communication, a problem that can be partially addressed by improving the spatial organization of physicians' offices and by enhancing physicians' computer and communication skills.

Indexed as

Physicians, FamilyProfessional CompetenceAttitude to ComputersCohort StudiesFemaleHealth Maintenance OrganizationsHumansInterviews as TopicIsraelMaleMedical Records Systems, ComputerizedPhysician-Patient RelationsTask Performance and Analysis

Identifiers

PMID19130148
PMCPMC2642564

What OpenQuestion holds

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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.