Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Sep 26, 2019
Open Peer Review Period: Sep 24, 2019 - Nov 19, 2019
Date Accepted: Feb 22, 2020
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Multiple-Performance Evaluation of IT Intervention in Charging Inpatients Medical Materials: An Empirical Study in One of Taiwan’s Regional Teaching Hospital
ABSTRACT
Background:
The process of manually recording the consumption of medical materials and updating billing records can be time consuming and prone to omission due to its detailed and complicated nature. Implementing a cross-team cooperation and a new system of charging inpatient medical materials will simplify this process and emprove work performance.
Objective:
The well-known Information System Success Model was adopted as the theoretical foundation in order to propose a research framework and hypotheses. The opinions of the primary end users, the nursing staff, were collected to verify the impact and outcomes of system intervention on work performance.
Methods:
This cross-sectional study was conducted in one of Taiwan’s Regional Teaching Hospitals. Nursing staff who had used the system for at least six months were invited to participate in the field survey. A total of 296 questionnaires were collected, of which 284 were valid.
Results:
Results:
Smart PLS Version 3 was used to verify the research model and hypotheses. Key findings shown that both “subjective norm” and “system quality” had a significant positive effect on user satisfaction (R2=0.714), and “user satisfaction” had a significant positive effect on “work performance”. Finally the explanatory power of the model reached 68.9 %. The paths from “service quality” and “information quality” to “user satisfaction” did not reach the level of statistical significance. We believe this statistical insignificance could be attributed to the fact that the case hospital tried to accommodate the existing hardware when promoting the new system and built the new mobile e-nursing system on old nursing cars. Furthermore, there were insufficient wireless network access hotspots during the initial stages of deployment, which caused the nurses to perceive this system inconvenient. Hence the service quality and the information quality of the new system were not perceived to significantly positive.
Conclusions:
Given the busy workload of nursing care, the intervention of the new system can improve nurses’ work efficiency, and the time saved can be used on patient care, thereby increasing the nursing value. Furthermore, in order to introduce a new system, it is necessary to change the paper-based operations and habits with which senior staff arefamiliar. Hence this process will require strong supports of top management in the hospital. Information seeds should also be regarded as pioneers, who can share their successful experiences and promote the new information system throughout the whole hospital. These pioneering nurses may increase the acceptance of the new system among physicians and other medical staff while enhancing their overall work performance and safety.
Citation
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Copyright
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