Healthc Inform Res.  2021 Jan;27(1):67-72. 10.4258/hir.2021.27.1.67.

Impact of Simulated Electronic Health Records on Informatics Competency of Students in Informatics Course

Affiliations
  • 1School of Nursing, College of Health and Human Services, University of North Carolina Wilmington, Wilmington, NC, USA
  • 2Transform Alliance for Health Clinic, Newton, MA, USA

Abstract


Objectives
Nursing has embraced online education to increase its workforce while providing flexible advanced education to nurse professionals. Faculty use virtual simulation and other adaptive learning technologies to enhance learning efficiency and student outcomes in online courses. The purpose of this study was to assess the impact of simulated Electronic Health Records (EHRs) on informatics competency in a graduate online informatics course.
Methods
A two-group independent measures study design was adopted to assess students’ perception of a simulated EHR while comparing differences in informatics competencies between an intervention group and a control group. A simulated EHR assignment was provided to students in the intervention group, and a paper assignment was provided to those in the control group. The informatics competency of the students was measured using the Self-Assessment of Informatics Competency Scale for Health Professionals (SICS).
Results
Students who were enrolled in a family nurse practitioner program in fall of 2019 participated in this study (n = 39). The students expressed positive perceptions of a simulated EHR experience. The SICS results indicated that students in the intervention (simulated EHR) group showed higher informatics competency than those in the control group.
Conclusions
The positive results of this study support incorporating simulated EHR exercises in online courses. Higher informatics competency in the intervention group implies that the use of simulated EHR facilitated learning of complicated informatics concepts.

Keyword

Online Education, Online Learning, Electronic Health Record, Simulation Training, Informatics

Cited by  1 articles

Data Pseudonymization in a Range That Does Not Affect Data Quality: Correlation with the Degree of Participation of Clinicians
Soo-Yong Shin, Hun-Sung Kim
J Korean Med Sci. 2021;36(44):e299.    doi: 10.3346/jkms.2021.36.e299.


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