ArticleJournal of healthcare engineering2018
Strategic Improvement for Quality and Satisfaction of Hospital Information Systems.
Article in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 34 citations in OpenAlex.
- Development of a big data platform for collecting and utilizing clinical information from the Korea Biobank Network.BMC medical informatics and decision making · 2025Article
- Consent mechanisms and default effects in health information exchange in Japan.Frontiers in digital health · 2025Article
- Factors Influencing Clinicians' Use of Hospital Information Systems for Infection Prevention and Control: Cross-Sectional Study Based on the Extended DeLone and McLean Model.Journal of medical Internet research · 2023Article
- Satisfaction of health informatics professionals with Ethiopian health system: the case of three zones in Ethiopia.BMC health services research · 2023Article
- Integrating a New Dietetic Care Process in a Health Information System: A System and Process Analysis and Assessment.International journal of environmental research and public health · 2022Article
- Kuwaiti hospital patients' continuance intention to use telemedical systems in the wake of the COVID19 pandemic.Healthcare technology letters · 2021Article
- Tailoring EHRs for Specific Working Environments Improves Work Well-Being of Physicians.International journal of environmental research and public health · 2020Article
- Vital Block and Vital Sign Server for ECG and Vital Sign Monitoring in a Portable u-Vital System.Sensors (Basel, Switzerland) · 2020Article
- Usability Factors Associated With Physicians' Distress and Information System-Related Stress: Cross-Sectional Survey.JMIR medical informatics · 2019Article
- Evaluating the impact of the Hospital Information System (HIS) on staff performance in teaching hospitals of Kerman, Iran.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of our study aimed to identify attributes capable of improving physicians' satisfaction levels with the use of a hospital information system (HIS). A model inclusive of system quality, information quality, and service quality related to an HIS is used to form antecedents of user satisfaction. Survey methodology was used to collect an attributive set representing the system quality, information quality, and service quality made available from 150 physicians at a large health-care system in southern Taiwan. Responses were segmented into low and high satisfaction and analyzed with partial least squares and importance-performance analysis. The results reveal that system quality, information quality, and service quality may be used to significantly predict physicians' satisfaction. Two system quality attributes (reliability and response time) were identified as the highest priorities for intervention by low- and high-satisfaction users. Low-satisfaction users further expect improvement of the HIS service quality to take place. The subject health-care system should produce coping interventions for those high priorities to enhance the satisfaction of physicians.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.