Structured Data Entry in the Electronic Medical Record: Perspectives of Pediatric Specialty Physicians and Surgeons.
The Epic electronic health record (EHR) platform supports structured data entry systems (SDES), which allow developers, with input from users, to create highly customized patient-record templates in order to maximize data completeness and to standardize structure. There are many potential advantages...
| Published in: | Journal of Medical Systems Vol. 41; no. 5; pp. 1 - 9 |
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| Main Authors: | , , , , |
| Format: | forms pictorial questionnaire/scale research tables/charts Journal Article |
| Published: |
Springer Nature
May2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122782836&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122782836 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: May2017 vid: 41 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 122782836 122782836 122782836 10.1007/s10916-017-0716-5 122782836 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Structured Data Entry in the Electronic Medical Record: Perspectives of Pediatric Specialty Physicians and Surgeons. aug: au: Bush, Ruth Kuelbs, Cynthia Ryu, Julie Jiang, Wen Chiang, George affil: Department of Pediatrics , University of California , San Diego USA sug: subj: Electronic Health Records Pediatricians Surgeons Health Information Management Human T-Tests Analysis of Variance Chi Square Test California Descriptive Statistics Data Analysis Software Male Female Adult Middle Age Aged Questionnaires Physician Attitudes Funding Source Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: The Epic electronic health record (EHR) platform supports structured data entry systems (SDES), which allow developers, with input from users, to create highly customized patient-record templates in order to maximize data completeness and to standardize structure. There are many potential advantages of using discrete data fields in the EHR to capture data for secondary analysis and epidemiological research, but direct data acquisition from clinicians remains one of the largest obstacles to leveraging the EHR for secondary use. Physician resistance to SDES is multifactorial. A 35-item questionnaire based on Unified Theory of Acceptance and Use of Technology, was used to measure attitudes, facilitation, and potential incentives for adopting SDES for clinical documentation among 25 pediatric specialty physicians and surgeons. Statistical analysis included chi-square for categorical data as well as independent sample t-tests and analysis of variance for continuous variables. Mean scores of the nine constructs demonstrated primarily positive physician attitudes toward SDES, while the surgeons were neutral. Those under 40 were more likely to respond that facilitating conditions for structured entry existed as compared to the two older age groups ( p = .02). Pediatric surgeons were significantly less positive than specialty physicians about SDES effects on Performance ( p = .01) and the effect of Social Influence ( p = .02); but in more agreement that use of forms was voluntary ( p = .02). Attitudinal differences likely reflect medical training, clinical practice workflows, and division specific practices. Identified resistance indicate efforts to increase SDES adoption should be discipline-targeted rather than a uniform approach. pubtype: Academic Journal doctype: forms pictorial questionnaire/scale research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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