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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jul 18, 2021
Date Accepted: Oct 17, 2021
Date Submitted to PubMed: Dec 1, 2021

The final, peer-reviewed published version of this preprint can be found here:

Health Professionals’ Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study

Chen RF, Hsaio JL

Health Professionals’ Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study

JMIR Med Inform 2021;9(11):e32180

DOI: 10.2196/32180

PMID: 34851297

PMCID: 8672292

Electronic Medical Record Infusion and Individual Performance: A Health Care Professional’s Perspective

  • Rai-Fu Chen; 
  • Ju-Ling Hsaio

ABSTRACT

Background:

Electronic medical records (EMRs) are integrated information sources generated by health care professionals (HCPs) from various health care information systems. EMRs play crucial roles in improving the quality of care and medical decision-making and facilitating cross-hospital health information exchange. Although many hospitals have invested considerable resources and efforts to develop EMRs for several years, the factors affecting the long-term success of EMRs, particularly in the EMR infusion stage, remain unclear.

Objective:

This study investigated the effects of technology, user, and task characteristics on EMR infusion to determine which affect EMR infusion. In addition, we examined the effect of EMR infusion on individual performance.

Methods:

A questionnaire survey was used to collect data from HCPs with >6 months experience in using EMRs in a Taiwanese teaching hospital. A total of 316 questionnaires were distributed, and 211 complete copies were returned, yielding a valid response rate of 66.8%. The collected data were further analyzed using WarpPLS 5.0.

Results:

EMR infusion (R^2 = .771) was mainly affected by user habits (.411), portability (.217), personal innovativeness (.198), technostress (.169), and time criticality (.168), whereas individual performance (R^2 = .541) was affected by EMR infusion (.735). This finding indicated that user (habit, personal innovativeness, and technostress), technology (portability), and task (mobility and time criticality) characteristics have major effects on EMR infusion. Furthermore, the results indicated that EMR infusion positively affects individual performance.

Conclusions:

The factors identified in this study can provide useful insights for the further improvement of EMR development in hospitals and by the government, specifically in its infusion stage. In addition, the developed instrument can be used as an assessment tool to identify the key factors for EMR infusion and evaluate the extent of EMR infusion and the individual performance of hospitals that have implemented EMR systems. Moreover, the results can help governments to understand the urgent needs of hospitals in implementing EMR systems, provide sufficient resources and support to improve the incentives of EMR development, and develop adequate EMR policies for the widespread use of health information exchanges and electronic health records.


 Citation

Please cite as:

Chen RF, Hsaio JL

Health Professionals’ Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study

JMIR Med Inform 2021;9(11):e32180

DOI: 10.2196/32180

PMID: 34851297

PMCID: 8672292

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