Literature DB >> 28118918

Acceptance model of a Hospital Information System.

P W Handayani1, A N Hidayanto2, A A Pinem3, I C Hapsari4, P I Sandhyaduhita5, I Budi6.   

Abstract

PURPOSE: The purpose of this study is to develop a model of Hospital Information System (HIS) user acceptance focusing on human, technological, and organizational characteristics for supporting government eHealth programs. This model was then tested to see which hospital type in Indonesia would benefit from the model to resolve problems related to HIS user acceptance.
METHOD: This study used qualitative and quantitative approaches with case studies at four privately owned hospitals and three government-owned hospitals, which are general hospitals in Indonesia. The respondents involved in this study are low-level and mid-level hospital management officers, doctors, nurses, and administrative staff who work at medical record, inpatient, outpatient, emergency, pharmacy, and information technology units. Data was processed using Structural Equation Modeling (SEM) and AMOS 21.0.
RESULTS: The study concludes that non-technological factors, such as human characteristics (i.e. compatibility, information security expectancy, and self-efficacy), and organizational characteristics (i.e. management support, facilitating conditions, and user involvement) which have level of significance of p<0.05, significantly influenced users' opinions of both the ease of use and the benefits of the HIS. This study found that different factors may affect the acceptance of each user in each type of hospital regarding the use of HIS. Finally, this model is best suited for government-owned hospitals.
CONCLUSIONS: Based on the results of this study, hospital management and IT developers should have more understanding on the non-technological factors to better plan for HIS implementation. Support from management is critical to the sustainability of HIS implementation to ensure HIS is easy to use and provides benefits to the users as well as hospitals. Finally, this study could assist hospital management and IT developers, as well as researchers, to understand the obstacles faced by hospitals in implementing HIS.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Hospital; Hospital Information System; Hospital type; Structural equation modeling; User acceptance

Mesh:

Year:  2016        PMID: 28118918     DOI: 10.1016/j.ijmedinf.2016.12.004

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  11 in total

1.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

2.  Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments.

Authors:  Hamed Nadri; Bahlol Rahimi; Hadi Lotfnezhad Afshar; Mahnaz Samadbeik; Ali Garavand
Journal:  Appl Clin Inform       Date:  2018-04-04       Impact factor: 2.342

3.  Predictive Analysis of Hospital HIS System Usage Satisfaction Based on Machine Learning.

Authors:  Yuhang Hu; Haotian Gan
Journal:  Comput Math Methods Med       Date:  2022-06-14       Impact factor: 2.809

4.  Designing a model of hospital information system acceptance: Organizational culture approach.

Authors:  Seyed Jamaledin Tabibi; Parvin Ebrahimi; Mozhgan Fardid; Mir Sajad Amiri
Journal:  Med J Islam Repub Iran       Date:  2018-04-02

5.  Factors Affecting Acceptance of Hospital Information Systems in Public Hospitals of Zahedan University of Medical Sciences: A Cross-Sectional Study.

Authors:  Jahanpour Alipour; Yousef Mehdipour; Afsaneh Karimi
Journal:  J Med Life       Date:  2019 Oct-Dec

6.  The Contributing Factors to Nurses' Behavioral Intention to Use Hospital Information Technologies in Ghana.

Authors:  Zhou Lulin; Joseph Owusu-Marfo; Henry Asante Antwi; Xinglong Xu
Journal:  SAGE Open Nurs       Date:  2020-04-29

7.  Construction and Clinical Application Effect of General Surgery Patient-Oriented Nursing Information Platform Using Cloud Computing.

Authors:  Yuanyuan Chen; Jingjing Wang; Weiwei Gao; Dongli Yu; Xiaoxia Shou
Journal:  J Healthc Eng       Date:  2022-03-25       Impact factor: 2.682

8.  Predictors of physicians' intentions to use clinical practice guidelines on antimicrobial in tertiary general hospitals of China: a structural equation modeling approach.

Authors:  Qingwen Deng; Zhichao Zeng; Yuhang Zheng; Junhong Lu; Wenbin Liu
Journal:  Antimicrob Resist Infect Control       Date:  2021-06-30       Impact factor: 4.887

9.  Strategic Improvement for Quality and Satisfaction of Hospital Information Systems.

Authors:  Kuang-Ming Kuo; Chung-Feng Liu; Paul C Talley; Su-Ya Pan
Journal:  J Healthc Eng       Date:  2018-09-12       Impact factor: 2.682

10.  Health referral system user acceptance model in Indonesia.

Authors:  Putu Wuri Handayani; Ibad Rahadian Saladdin; Ave Adriana Pinem; Fatimah Azzahro; Achmad Nizar Hidayanto; Dumilah Ayuningtyas
Journal:  Heliyon       Date:  2018-12-19
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