Literature DB >> 28324321

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

Ruth A Bush1,2, Cynthia Kuelbs3, Julie Ryu3, Wen Jiang4, George Chiang5.   

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.

Entities:  

Keywords:  Electronic health records; Health information technology; Pediatrics; Physicians; Survey

Mesh:

Year:  2017        PMID: 28324321      PMCID: PMC5510605          DOI: 10.1007/s10916-017-0716-5

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  10 in total

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Review 2.  Interface terminologies: facilitating direct entry of clinical data into electronic health record systems.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

3.  An electronic health record based on structured narrative.

Authors:  Stephen B Johnson; Suzanne Bakken; Daniel Dine; Sookyung Hyun; Eneida Mendonça; Frances Morrison; Tiffani Bright; Tielman Van Vleck; Jesse Wrenn; Peter Stetson
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

4.  User acceptance of a picture archiving and communication system. Applying the unified theory of acceptance and use of technology in a radiological setting.

Authors:  P Duyck; B Pynoo; P Devolder; T Voet; L Adang; J Vercruysse
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

5.  Data from clinical notes: a perspective on the tension between structure and flexible documentation.

Authors:  S Trent Rosenbloom; Joshua C Denny; Hua Xu; Nancy Lorenzi; William W Stead; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-01-12       Impact factor: 4.497

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Authors:  Michael G Leu; Karen G O'Connor; Rebecca Marshall; David T Price; Jonathan D Klein
Journal:  Pediatrics       Date:  2012-11-19       Impact factor: 7.124

7.  Prospective, randomized trial of template-assisted versus undirected written recording of physician records in the emergency department.

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Journal:  Ann Emerg Med       Date:  1999-05       Impact factor: 5.721

Review 8.  Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions.

Authors:  Albert Boonstra; Manda Broekhuis
Journal:  BMC Health Serv Res       Date:  2010-08-06       Impact factor: 2.655

9.  Personality traits affect teaching performance of attending physicians: results of a multi-center observational study.

Authors:  Renée A Scheepers; Kiki M J M H Lombarts; Marcel A G van Aken; Maas Jan Heineman; Onyebuchi A Arah
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

Review 10.  Barriers to Electronic Health Record Adoption: a Systematic Literature Review.

Authors:  Clemens Scott Kruse; Caitlin Kristof; Beau Jones; Erica Mitchell; Angelica Martinez
Journal:  J Med Syst       Date:  2016-10-06       Impact factor: 4.460

  10 in total
  12 in total

1.  Using structured data entry systems in the electronic medical record to collect clinical data for quality and research: Can we efficiently serve multiple needs for complex patients with spina bifida?

Authors:  Jason P Van Batavia; Dana A Weiss; Christopher J Long; Julian Madison; Gus McCarthy; Natalie Plachter; Stephen A Zderic
Journal:  J Pediatr Rehabil Med       Date:  2018

2.  Examining Individual Transition from Healthcare to Information Technology Roles Using the Theory of Planned Behavior.

Authors:  Rebecca Johnston; Barbara HewittHewitt; Alexander McLeod; Jackie Moczygemba
Journal:  Perspect Health Inf Manag       Date:  2021-03-15

Review 3.  "Minimally invasive research?" Use of the electronic health record to facilitate research in pediatric urology.

Authors:  Vijaya M Vemulakonda; Ruth A Bush; Michael G Kahn
Journal:  J Pediatr Urol       Date:  2018-06-09       Impact factor: 1.830

4.  Interaction Time with Electronic Health Records: A Systematic Review.

Authors:  Yuliya Pinevich; Kathryn J Clark; Andrew M Harrison; Brian W Pickering; Vitaly Herasevich
Journal:  Appl Clin Inform       Date:  2021-08-25       Impact factor: 2.762

5.  Automated Extraction of Structured Data from Text Notes in the Electronic Medical Record.

Authors:  Alexander C Flint; Ronald B Melles; Jeff G Klingman; Sheila L Chan; Vivek A Rao; Andrew L Avins
Journal:  J Gen Intern Med       Date:  2020-08-31       Impact factor: 6.473

6.  Trends and Perceptions of Electronic Health Record Usage among Plastic Surgeons.

Authors:  Michelle Seu; Brian H Cho; Rachel Pigott; Samuel Sarmiento; Rachel Pedreira; Deepa Bhat; Justin Sacks
Journal:  Plast Reconstr Surg Glob Open       Date:  2020-04-24

7.  Laboratory information system requirements to manage the COVID-19 pandemic: A report from the Belgian national reference testing center.

Authors:  Matthias Weemaes; Steven Martens; Lize Cuypers; Jan Van Elslande; Katrien Hoet; Joris Welkenhuysen; Ria Goossens; Stijn Wouters; Els Houben; Kirsten Jeuris; Lies Laenen; Katrien Bruyninckx; Kurt Beuselinck; Emmanuel André; Melissa Depypere; Stefanie Desmet; Katrien Lagrou; Marc Van Ranst; Ann K L C Verdonck; Jermaine Goveia
Journal:  J Am Med Inform Assoc       Date:  2020-08-01       Impact factor: 4.497

8.  Physicians' Attitude towards Electronic Medical Record Systems: An Input for Future Implementers.

Authors:  Mulugeta Hayelom Kalayou; Berhanu Fikadie Endehabtu; Habtamu Alganeh Guadie; Zeleke Abebaw; Kassahun Dessie; Shekur Mohammed Awol; Nebyu Demeke Mengestie; Abraham Yeneneh; Binyam Tilahun
Journal:  Biomed Res Int       Date:  2021-08-28       Impact factor: 3.411

9.  What makes administrative data "research-ready"? A systematic review and thematic analysis of published literature.

Authors:  Louise Mc Grath-Lone; Matthew A Jay; Ruth Blackburn; Emma Gordon; Ania Zylbersztejn; Linda Wiljaars; Ruth Gilbert
Journal:  Int J Popul Data Sci       Date:  2022-04-27

10.  Unlocking the Potential of Electronic Health Records for Health Research.

Authors:  S Lee; Y Xu; A G D Apos Souza; E A Martin; C Doktorchik; Z Zhang; H Quan
Journal:  Int J Popul Data Sci       Date:  2020-01-30
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