Dataset Information

Structured Data Entry in the Electronic Medical Record: Perspectives of Pediatric Specialty Physicians and Surgeons.

ABSTRACT: 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.

SUBMITTER: Bush RA

PROVIDER: S-EPMC5510605 | biostudies-other | 2017 May

REPOSITORIES: biostudies-other

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Structured Data Entry in the Electronic Medical Record: Perspectives of Pediatric Specialty Physicians and Surgeons.

Bush Ruth A RA Kuelbs Cynthia C Ryu Julie J Jiang Wen W Chiang George G

Journal of medical systems 20170321 5

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 lever ...[more]

PMID: 28324321

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Project description:BackgroundThe electronic medical record (EMR) contains a rich source of information that could be harnessed for epidemic surveillance. We asked if structured EMR data could be coupled with computerized processing of free-text clinical entries to enhance detection of acute respiratory infections (ARI).MethodologyA manual review of EMR records related to 15,377 outpatient visits uncovered 280 reference cases of ARI. We used logistic regression with backward elimination to determine which among candidate structured EMR parameters (diagnostic codes, vital signs and orders for tests, imaging and medications) contributed to the detection of those reference cases. We also developed a computerized free-text search to identify clinical notes documenting at least two non-negated ARI symptoms. We then used heuristics to build case-detection algorithms that best combined the retained structured EMR parameters with the results of the text analysis.Principal findingsAn adjusted grouping of diagnostic codes identified reference ARI patients with a sensitivity of 79%, a specificity of 96% and a positive predictive value (PPV) of 32%. Of the 21 additional structured clinical parameters considered, two contributed significantly to ARI detection: new prescriptions for cough remedies and elevations in body temperature to at least 38°C. Together with the diagnostic codes, these parameters increased detection sensitivity to 87%, but specificity and PPV declined to 95% and 25%, respectively. Adding text analysis increased sensitivity to 99%, but PPV dropped further to 14%. Algorithms that required satisfying both a query of structured EMR parameters as well as text analysis disclosed PPVs of 52-68% and retained sensitivities of 69-73%.ConclusionStructured EMR parameters and free-text analyses can be combined into algorithms that can detect ARI cases with new levels of sensitivity or precision. These results highlight potential paths by which repurposed EMR information could facilitate the discovery of epidemics before they cause mass casualties.

Project description:BackgroundWhile concerns remain regarding Electronic Medical Records (EMR) use impeding doctor-patient communication, resident and faculty patient perspectives post-widespread EMR adoption remain largely unexplored.ObjectiveWe aimed to describe patient perspectives of outpatient resident and faculty EMR use and identify positive and negative EMR use examples to promote optimal utilization.DesignThis was a prospective mixed-methods study.ParticipantsInternal medicine faculty and resident patients at the University of Chicago's primary care clinic participated in the study.ApproachIn 2013, one year after EMR implementation, telephone interviews were conducted with patients using open-ended and Likert style questions to elicit positive and negative perceptions of EMR use by physicians. Interview transcripts were analyzed qualitatively to develop a coding classification. Satisfaction with physician EMR use was examined using bivariate statistics.ResultsIn total, 108 interviews were completed and analyzed. Two major themes were noted: (1) Clinical Functions of EMR and (2) Communication Functions of EMR; as well as six subthemes: (1a) Clinical Care (i.e., clinical efficiency), (1b) Documentation (i.e., proper record keeping and access), (1c) Information Access, (1d) Educational Resource, (2a) Patient Engagement and (2b) Physical Focus (i.e., body positioning). Overall, 85 % (979/1154) of patient perceptions of EMR use were positive, with the majority within the "Clinical Care" subtheme (n = 218). Of negative perceptions, 66 % (115/175) related to the "Communication Functions" theme, and the majority of those related to the "Physical Focus" subtheme (n = 71). The majority of patients (90 %, 95/106) were satisfied with physician EMR use: 59 % (63/107) reported the computer had a positive effect on their relationship and only 7 % (8/108) reported the EMR made it harder to talk with their doctors.ConclusionsDespite concerns regarding EMRs impeding doctor-patient communication, patients reported largely positive perceptions of the EMR with many patients reporting high levels of satisfaction. Future work should focus on improving doctors "physical focus" when using the EMR to redirect towards the patient.

Dataset Information

Structured Data Entry in the Electronic Medical Record: Perspectives of Pediatric Specialty Physicians and Surgeons.

Publications

Structured Data Entry in the Electronic Medical Record: Perspectives of Pediatric Specialty Physicians and Surgeons.

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