Information System Benefits Improvement Model, Information Quality Through User Satisfaction, Information Quality and Organization At Hospital X
DOI:
https://doi.org/10.59680/medika.v3i1.1618Keywords:
Hot-Fit, SIRS Evaluation, Structural Equation Modeling(SEM)Abstract
Hospital Information System aims to provide accurate, timely, and relevant information to support management functions and decision-making in health services in hospitals. This study examines the influence of user satisfaction, information quality, and organizational support on the benefits obtained from SIRS, both directly and indirectly. The approach used in this study is quantitative with the explanatory causality method, and the analysis technique in this study uses Structural Equation Modeling (SEM). The respondents of the study were 198 professional care providers (PPA) who were directly involved in the use of SIRS at the Sultan Agung Islamic Hospital, Banjarbaru. The results of this study indicate that the factors of user satisfaction, information quality, and organizational support have a major influence on the benefits both directly and indirectly received from the use of this system, with a determination coefficient of 84.8%. This means that more than 80% of the benefits obtained by the hospital in using the hospital information system are determined by how satisfied the user is with the system used. This indicates a good relationship between the four factors in increasing the benefits of the hospital information system at RSI Sultan Agung Banjarbaru. Therefore, hospitals are advised not to only focus on developing one aspect, but also to maximize the four aspects in order to provide more optimal results.
References
Adler-Milstein, J., & Jha, A. K. (2017). Hitech act drove large gains in hospital electronic health record adoption. Health Affairs, 36(8), 1416–1422. https://doi.org/10.1377/hlthaff.2016.1651
Airo Dhanaris Simorangkir, S. dan A. (2020). (2020). The Implementation of Hospital Management Information Systems Using Human, Organization, Technology, And Benefit Models at Dinda Hospital Tangerang. Journal of Multidisciplinary Academic, Vol. 4, No.
Al Qudah, D. A., Al-Shboul, B., Al-Zoubi, A., Al-Sayyed, R., & Cristea, A. I. (2020). Investigating users’ experience on social media ads: perceptions of young users. Heliyon, 6(7), e04378. https://doi.org/10.1016/j.heliyon.2020.e04378
Alzahrani, A. I., Mahmud, I., Ramayah, T., Alfarraj, O., & Alalwan, N. (2019). Modelling digital library success using the DeLone and McLean information system success model. Journal of Librarianship and Information Science, 51(2), 291–306. https://doi.org/10.1177/0961000617726123
Andika Bayu S dan Izzati Muhimmah. (2013). Evaluasi Faktor-Faktor Kesuksesan Implementasi Sistem Informasi manajemen Rumah Sakit di PKU Muhammadiyah Sruweng dengan Menggunakan Metode Hot-Fit. Seminar Nasional Informatika Medis (SNIMed), IV, p. 78,.
Bastian, I. (2008). Akuntansi Kesehatan. In Bpfe. Erlangga.
Brown, A. D. (2019). Identities in Organization Studies. Organization Studies, 40(1), 7–22. https://doi.org/10.1177/0170840618765014
Byrne, B. M. (2013). Structural Equation Modeling With AMOS. In Structural Equation Modeling With AMOS. https://doi.org/10.4324/9781410600219
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Dewan Perwakilan Rakyat RI. (2023). Undang-Undang Republik Indonesia Nomor 17 Tahun 2023 Tentang Kesehatan. Undang-Undang, 187315, 1–300.
Erlirianto, L. M., Ali, A. H. N., & Herdiyanti, A. (2015a). The Implementation of the Human, Organization, and Technology-Fit (HOT-Fit) Framework to Evaluate the Electronic Medical Record (EMR) System in a Hospital. Procedia Computer Science, 72(April), 580–587. https://doi.org/10.1016/j.procs.2015.12.166
Erlirianto, L. M., Ali, A. H. N., & Herdiyanti, A. (2015b). The Implementation of the Human, Organization, and Technology-Fit (HOT-Fit) Framework to Evaluate the Electronic Medical Record (EMR) System in a Hospital. Procedia Computer Science, 72, 580–587. https://doi.org/10.1016/j.procs.2015.12.166
Ghozali, I. (2011). Ghozali_Imam_2011_Aplikasi_Analisis_Mult.pdf (p. 129).
Ghozali, I. (2014). Structural Equation Modeling, Metode Alternatif dengan Partial Least Square (PLS). Edisi 4. Semarang?: Badan Penerbit Universitas Diponegoro.
Ghozali, I. (2016). Aplikasi Analisis Multivariete Dengan Program IBM SPSS 23 (Edisi 8) (Cetakan ke). Badan Penerbit Universitas Diponegoro.
Hair, J. R., & Sasterdt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 139–151.
Istifaiyatuddianah, I., Tahjoo, A., & Nofierni. (2021). Analysis Of Acceleration Affecting Factors during Waiting Time for Outpatient Services at Regional General Hospital (RSUD) Dr. Dradjat Prawiranegara, Serang …. Journal of …, 288–295. https://doi.org/10.51971/joma.v5n3.16092021
Kankam, G., Kyeremeh, E., Som, G. N. K., & Charnor, I. T. (2023). Information quality and supply chain performance: The mediating role of information sharing. Supply Chain Analytics, 2(February), 100005. https://doi.org/10.1016/j.sca.2023.100005
Kemenkes RI. (2013). Peraturan Menteri Kesehatan RI Nomor 82 tentang Sistem Informasi Manajemen Rumah Sakit. Peraturan Menteri Kesehatan, 87, 1–36.
Keshta, I., & Odeh, A. (2021). Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal, 22(2), 177–183. https://doi.org/10.1016/j.eij.2020.07.003
Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in healthcare: Analyzing the current state-of-research. Journal of Business Research, 123, 557–567. https://doi.org/10.1016/j.jbusres.2020.10.030
Ku, B. R., & Yu, M. (2024). Hospital organisational health as a mediator between positive nursing organisational culture, caring behaviour, and quality of nursing care. Humanities and Social Sciences Communications, 11(1), 1–12. https://doi.org/10.1057/s41599-024-03731-w
Larinse, D. S. (2020). Evaluasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) Menggunakan Metode HOT-Fit Pada Pengguna Akhir SIMRS di RSUD-Talaud Artikel Ilmiah. 3.
Lestari, F. D., Rachmadi, A., & Wardani, N. H. (2020). Evaluasi Sistem Informasi Manajemen Rumah Sakit Menggunakan Framework Human, Organization, And Technology-Fit (HOT-Fit) Model (Studi Pada RSI UNISMA Malang). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 4(8), 2688–2696. http://j-ptiik.ub.ac.id
Lourent Monalizabeth Erlirianto, Ahmad Holil Noor Ali, A. H. (2015). The Implementation of the Human, Organization, and Technology–Fit (HOT–Fit) Framework to evaluate the Electronic Medical Record (EMR) System in a Hospital. ScienceDirect, 72 ( 2015.
Lynn, Theo; Liang, Xiaoning; Gourinovitch, Anna; Morrison, John P.; Fox, Grace; Rosati, P. (2018). Understanding the determinants of cloud computing adoption for high performance computing. CORA- Cork Open Rearch Archive Cartlann Taigdhe Oscaite Chorcal, ISBN: 978-0-9981331-1-9.
Lynn, T., Liang, X., Gourinovitch, A., Morrison, J. P., Fox, G., & Rosati, P. (2018). Understanding the determinants of cloud computing adoption for high performance computing. Proceedings of the Annual Hawaii International Conference on System Sciences, 2018-Janua(January), 3894–3903. https://doi.org/10.24251/hicss.2018.489
Manuel, R., & Magalhães R. (1999). The Organizational Implementation of Information Systems?: towards a new theory The London School of Economics. September, 323.
Marisa Putri, R., & Aisyah, M. (2024). Implementing the HOT-Fit method in Hospital Management Information Systems Evaluation. 2, 25–36.
Martinho, J. L., Gomes, C. F., & Yasin, M. M. (2015). Enhancing organisational performance through information technology: An organisational and social strategic context. International Journal of Business Information Systems, 20(1), 95–115. https://doi.org/10.1504/IJBIS.2015.070887
Martins, T. D., Annichino-Bizzacchi, J. M., Romano, A. V. C., & Maciel Filho, R. (2020). Artificial neural networks for prediction of recurrent venous thromboembolism. International Journal of Medical Informatics, 141, 104221. https://doi.org/10.1016/j.ijmedinf.2020.104221
Mehrbakhsh Nilashi , Hossein Ahmadi, Ali Ahani, Othman Ibrahim, A. A. (2015). Evaluating the Factors Affecting Adoption of Hospital Information System Using Analytic Hierarchy Process. Journal of Soft Computing and Decision Support Systems, Vol 3, No.
Muhanga, M. I., & Haule, C. D. (2021). Services Delivery in Public and Private Health Facilities: A Systematic Literature Review. The Sub Saharan Journal of Social Sciences and Humanities (Ssjssh), 1(1), 25–30.
Ndoro, S. (2014). the key to high-quality care. 23(13), 724–727.
Petter, S., Delone, W., & Mclean, E. (2008). Measuring information systems success?: models , dimensions , measures , and interrelationships. July 2007, 236–263. https://doi.org/10.1057/ejis.2008.15
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. https://doi.org/10.1057/ejis.2008.15
Pratama, A. F. (2024). Transformasi Digital Di Era Penerapan Teknologi Sistem Informasi: Peluang Dan Tantangan. Jurnal Ilmu Data, 4(1), 1–27. http://ilmudata.org/index.php/ilmudata/article/view/339
Puspita, S. C. (2020). Analysis of Hospital Information System Implementation Using the Human-Organization-Technology ( HOT ) Fit Method?: A Case Study Hospital in Indonesia. 5(6), 1–8.
Puspita, S. C., Supriyantoro, ., & Hasyim, . (2020). Analysis of Hospital Information System Implementation Using the Human-Organization-Technology (HOT) Fit Method: A Case Study Hospital in Indonesia. European Journal of Business and Management Research, 5(6), 1–8. https://doi.org/10.24018/ejbmr.2020.5.6.592
Rahi, S., Khan, M. M., & Alghizzawi, M. (2021). Extension of technology continuance theory (TCT) with task technology fit (TTF) in the context of Internet banking user continuance intention. International Journal of Quality and Reliability Management, 38(4), 986–1004. https://doi.org/10.1108/IJQRM-03-2020-0074
Sanjuluca, T. H. P., de Almeida, A. A., & Cruz-Correia, R. (2022). Assessing the Use of Hospital Information Systems (HIS) to Support Decision-Making: A Cross-Sectional Study in Public Hospitals in the Huíla Health Region of Southern Angola. Healthcare (Switzerland), 10(7). https://doi.org/10.3390/healthcare10071267
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2020). Handbook of Market Research. In Handbook of Market Research (Issue September). https://doi.org/10.1007/978-3-319-05542-8
Sastroasmoro, S., & Ismael, S. (1995). Dasar-Dasar Metodologi Penelitian Klinis.
Schedule, I., Travel, O. F., Expenses, O., Hancock, A. D., Formation, A. F., Armstrong, N., Le, F., Faso, B., Le, F., On, F., Le, L. L. L. P. L., Kone, I., Ou, I., Laquelle, I., Quelle, T., Scheme, N. G., Pizer, W. A., Weintraub, S., Formation, A. F., … Gh, E. (2022).
Schuenemeyer, J. H., Murtagh, F., & Heck, A. (1989). Multivariate Data Analysis. Technometrics, 31(3), 393. https://doi.org/10.2307/3556165
Seljelid, B., Varsi, C., Solberg Nes, L., Stenehjem, A. E., Bollerslev, J., & Børøsund, E. (2020). Content and system development of a digital patient-provider communication tool to support shared decision making in chronic health care: InvolveMe. BMC Medical Informatics and Decision Making, 20(1), 1–14. https://doi.org/10.1186/s12911-020-1065-8
Siqueira, M. S. S., Nascimento, P. O., & Freire, A. P. (2022). Reporting Behaviour of People with Disabilities in relation to the Lack of Accessibility on Government Websites: Analysis in the light of the Theory of Planned Behaviour. Disability, CBR and Inclusive Development, 33(1), 52–68. https://doi.org/10.47985/dcidj.475
Sugiyono. (2013). Metode penelitian pendidikan: Pendekatan kuantitatif, kualitatif dan R&D. Alfabeta.
SÜRÜCÜ, L., & MASLAKÇI, A. (2020). Validity and Reliability in Quantitative Research. Business & Management Studies: An International Journal, 8(3), 2694–2726. https://doi.org/10.15295/bmij.v8i3.1540
Suryana, A., Adikara, F., Arrozi, M., & Taufik, A. (2021). Model Peningkatan Pemanfaatan Sistem Informasi Rumah Sakit Berdasarkan Metode HOT-Fit di RSPI Prof. Dr. Sulianti Saroso. Salus Cultura: Jurnal Pembangunan Manusia Dan Kebudayaan, 1(2), 153–166. https://doi.org/10.55480/saluscultura.v1i2.23
Tzeng, H. M. (2002). The influence of nurses’ working motivation and job satisfaction on intention to quit: An empirical investigation in Taiwan. International Journal of Nursing Studies, 39(8), 867–878. https://doi.org/10.1016/S0020-7489(02)00027-5
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
Vest, J. R., & Gamm, L. D. (2010). Health information exchange: Persistent challenges and new strategies. Journal of the American Medical Informatics Association, 17(3), 288–294. https://doi.org/10.1136/jamia.2010.003673
WHO. (2020). World Health Organization, Global Strategy on Digital Health. In Indian Pediatrics (Vol. 57, Issue 4).
Widy Try Windy, F. R. S. dan D. C. (2020). Evaluation of Hospital Information System Using HOT-FIT Method in Hospital in Indonesia. File:///C:/Users/KJSB YUGI/Documents/Kerjaan Tesis_Nyambi/2_Tesis Ade Kalimantan/SIRS/Jurnal Mendukung BAB IV/Alzahrani2017.PdfEuropean Journal of Molecular & Clinical Medicine, Volume 07,(ISSN 2515-8260).
Widya Rita, E. P., Indrawati, R., & Widjaja, L. (2021). A Service Quality Review of Medical Record Department In Private Hospital, South Jakarta. Journal of Multidisciplinary Academic 101 JoMA, 05(02), 101–105.
Yan, Y. (2020). Software aging forecast using recurrent SOM with local model. Journal of Information Technology Research, 13(1), 30–43. https://doi.org/10.4018/JITR.2020010103
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008). An Evaluation Framework For Health Information Systems: Human, Organization, and Technology-Fit Factors (HOT-Fit). International Journal of Medical Informatics,.
Yusof, M. M., R. J. P. dan L. K. S. (2006). Towards a Framework for Health Information Systems Evaluation. Proceedings of the 39th Hawaii International Conference on System Sciences.
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008). An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). International Journal of Medical Informatics, 77(6), 386–398. https://doi.org/10.1016/j.ijmedinf.2007.08.011
Yusof, M. M., Papazafeiropoulou, A., Paul, R. J., & Stergioulas, L. K. (2008). Investigating evaluation frameworks for health information systems. International Journal of Medical Informatics, 77(6), 377–385.