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a bibo:Issue;
dcterms:medium ;
rdau:P60049 ;
rdau:P60050 ;
rdau:P60048 ;
dc:identifier "(DE-101)1328793788";
umbel:isLike , ;
dc:identifier "(OCoLC)1562809691";
dcterms:language ;
a bibo:Article;
dc:title "Explaining Variability in Electronic Health Record Effort in Primary Care Ambulatory Encounters";
marcRole:oth _:node1k0rmm5k0x121544089 .
_:node1k0rmm5k0x121544089 gndo:preferredName "Overhage, J. Marc" .
marcRole:oth _:node1k0rmm5k0x121544090 .
_:node1k0rmm5k0x121544090 gndo:preferredName "Qeadan, Fares" .
marcRole:oth _:node1k0rmm5k0x121544091 .
_:node1k0rmm5k0x121544091 gndo:preferredName "Choi, Eun Ho Eunice" .
marcRole:oth _:node1k0rmm5k0x121544092 .
_:node1k0rmm5k0x121544092 gndo:preferredName "Vos, Duncan" .
marcRole:oth _:node1k0rmm5k0x121544093 .
_:node1k0rmm5k0x121544093 gndo:preferredName "Kroth, Philip J.";
owl:sameAs .
bibo:pageStart "212";
bibo:pageEnd "219";
dcterms:isPartOf ;
dcterms:description "Abstract: Background Electronic health record (EHR) user interface event logs are fast providing another perspective on the value and efficiency EHR technology brings to health care. Analysis of these detailed usage data has demonstrated their potential to identify EHR and clinical process design factors related to user efficiency, satisfaction, and burnout. Objective This study aimed to analyze the event log data across 26 different health systems to determine the variability of use of a single vendor's EHR based on four event log metrics, at the individual, practice group, and health system levels. Methods We obtained de-identified event log data recorded from June 1, 2018, to May 31, 2019, from 26 health systems' primary care physicians. We estimated the variability in total Active EHR Time, Documentation Time, Chart Review Time, and Ordering Time across health systems, practice groups, and individual physicians. Results In total, 5,444 physicians (Family Medicine: 3,042 and Internal Medicine: 2,422) provided care in a total of 2,285 different practices nested in 26 health systems. Health systems explain 1.29, 3.55, 3.45, and 3.30% of the total variability in Active Time, Documentation Time, Chart Review Time, and Ordering Time, respectively. Practice-level variability was estimated to be 7.96, 13.52, 8.39, and 5.57%, respectively, and individual physicians explained the largest proportion of the variability for those same outcomes 17.09, 27.49, 17.51, and 19.75%, respectively. Conclusion The most variable physician EHR usage patterns occurs at the individual physician level and decreases as you move up to the practice and health system levels. This suggests that interventions to improve individual users' EHR usage efficiency may have the most potential impact compared with those directed at health system or practice levels."@de;
wdrs:describedby .
dcterms:license ;
dcterms:modified "2024-05-10T07:17:57.000"^^xsd:dateTime .
dcterms:issued "2024";
bibo:issue "15.2024, 02";
owl:sameAs .