Applying the Healthcare Failure Mode and Effect Analysis (HFMEA) Method for the Risk Management of Self-Developed Electronic Medical Records (EMRs) in Hospitals
DOI:
https://doi.org/10.18196/jmmr.v11i3.16845Keywords:
Risk management, Electronic Medical Records (EMR), Healthcare Failure Mode and Effect Analysis (FMEA), Self-development, Risk priority number (RPN)Abstract
The organization of electronic medical records (EMR) in hospitals is vital. In cases where EMRs are developed independently, failures that hamper the hospital's operations could sometimes occur. Risk management is needed to identify, reduce, and eliminate potential failures. This study aimed to analyze a risk management by using the Healthcare Failure Mode and Effects Analysis (HFMEA) method to reduce the risk of failure in the outpatient EMR development process at Baitul Hikmah General Hospital (RSBH). This observational research applied an action research design and was conducted using the HFMEA method. It analyzed the outpatient EMR development process at RSBH. Research data was obtained through a mixed method where information was collected from focus group discussions (FGD) and calculated risk priority numbers (RPN). The research subjects were determined by the purposive sampling technique (HFMEA team). The HFMEA form was used as the research instrument. At least 33 failure modes were identified. These failure modes were evenly distributed throughout the outpatient EMR development process at RSBH. The top five failure modes received treatment actions and their outcomes were measured. Four out of the five failure modes showed a significant decrease in RPN value. In short, risk management analysis using the FMEA method could significantly reduce the potential for failure in the outpatient EMR development process at RSBH
References
Agrawal, A. 2002. Return on investment analysis for a computer-based patient record in the outpatient clinic setting. Journal of the Association for Academic Minority Physicians: the official publication of the Association for Academic Minority Physicians, 13, 61-65. https://europepmc.org/article/med/12362561
Ajzen, I. 1991. The theory of planned behavior. Organizational behavior and human decision processes, 50, 179-211.
Al-Barnawi, A., He, Y., Maglaras, L. A. & Janicke, H. 2019. Electronic medical records and risk management in hospitals of Saudi Arabia. Informatics for Health and Social Care, 44, 189-203. https://doi.org/10.1080/17538157.2018.1434181
Alvertis, I., Koussouris, S., Papaspyros, D., Arvanitakis, E., Mouzakitis, S., Franken, S., Kolvenbach, S. & Prinz, W. 2016. User involvement in software development processes. Procedia Computer Science, 97, 73-83. https://doi.org/10.1016/j.procs.2016.08.282
Asan, U., Soyer, A. (2016). Failure Mode and Effects Analysis Under Uncertainty: A Literature Review and Tutorial. In Kahraman, C., Yanik, S. (eds) Intelligent Decision Making in Quality Management. Intelligent Systems Reference Library, vol 97. (pp. 265 – 325). Springer. https://doi.org/10.1007/978-3-319-24499-0_10
Carlson, C. S. Understanding and applying the fundamentals of FMEAs. Annual Reliability and Maintainability Symposium, 2014. 1-35.https://www.weibull.com/pubs/2014_RAMS_fundamentals_of_fmeas.pdf
Chang, A., Schyve, P. M., Croteau, R. J., O’leary, D. S. & Loeb, J. M. 2005. The JCAHO patient safety event taxonomy: a standardized terminology and classification schema for near misses and adverse events. International Journal for Quality in Health Care, 17(2), 95-105. https://doi.org/10.1093/intqhc/mzi021
Chatman, J. A. & Jehn, K. A. 1994. Assessing the relationship between industry characteristics and organizational culture: how different can you be? Academy of management journal, 37(3), 522-553. https://doi.org/10.5465/256699
Chiozza, M. L. & Ponzetti, C. 2009. FMEA: a model for reducing medical errors. Clinica chimica acta, 404(1), 75-78. https://doi.org/10.1016/j.cca.2009.03.015
Compeau, D. R. & Higgins, C. A. 1995. Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211.
Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Derosier, J., Stalhandske, E., Bagian, J. P. & Nudell, T. 2002. Using health care failure mode and effect analysis™: the VA National Center for Patient Safety’s prospective risk analysis system. The Joint Commission journal on quality improvement, 28(5), 248-267. https://doi.org/10.1016/S1070-3241(02)28025-6
Dunjó, J., Fthenakis, V., Vílchez, J. A. & Arnaldos, J. 2010. Hazard and operability (HAZOP) analysis. A literature review. Journal of hazardous materials, 173(1-3), 19-32. https://doi.org/10.1016/j.jhazmat.2009.08.076
Fishbein, M., Ajzen, I. & Belief, A. 1975. Intention and Behavior: An introduction to theory and research. Addison-Wesley.
Gilchrist, W. 1993. Modelling failure modes and effects analysis. International Journal of Quality & Reliability Management, 10(5), https://doi.org/10.1108/02656719310040105
Gupta, S., Bostrom, R. P. & Huber, M. 2010. End-user training methods: what we know, need to know. ACM SIGMIS Database: The database for advances in information systems, 41(4), 9-39. https://doi.org/10.1145/1899639.1899641
Hajeer, S. A. I. 2012. Critical risk factors for Information System (IS) Projects (IS) Projects between Sink and Swim. International Journal of Computer Science Engineering & Technology, 2(6), 1270-1279. http://ijcset.net/docs/Volumes/volume2issue6/ ijcset2012020606.pdf
Hochstrasser, B. 1994. Justifying IT investments. In Information management. Springer. https://doi.org/10.1007/978-1-4899-3208-2_8
Igbaria, M., Guimaraes, T. & Davis, G. B. 1995. Testing the determinants of microcomputer usage via a structural equation model. Journal of management information systems, 11(4), 87-114. https://doi.org/10.1080/07421222.1995.11518061
Indeje, W. G. & Zheng, Q. 2010. Organizational culture and information systems implementation: A structuration theory perspective. All Sprouts Content, 10(27), 1-14. https://aisel.aisnet.org/sprouts_all/349
Indrajit, R. E. 2001. Evolusi perkembangan teknologi informasi. Renaissance Research Centre.
Irani, Z. 2002. Information systems evaluation: navigating through the problem domain. Information & Management, 40(1), 11-24. https://doi.org/10.1016/S0378-7206(01)00128-8
Laonde, R. 2018. Penerimaan dokter keluarga terhadap penggunaan rekam medis elektronik di Yogyakarta. [Unpublished Final Assignment of Diploma-III]. Universitas Gadjah Mada.
Melzer, P. & Schoop, M. 2014. Individual End-User Training For Information Systems Using Learning Styles. UK Academy for Information Systems Conference Proceedings 2014. 27. https://aisel.aisnet.org/ukais2014/27
Menachemi, N. & Collum, T. H. 2011. Benefits and drawbacks of electronic health record systems. Risk management and healthcare policy, 4, 47-55. https://doi.org/10.2147%2FRMHP.S12985
Miller, R. H., West, C., Brown, T. M., Sim, I. & Ganchoff, C. 2005. The
value of electronic health records in solo or small group practices. Health Affairs, 24(5), 1127-1137. https://doi.org/10.1377/hlthaff.24.5.1127
Moore, G. C. & Benbasat, I. 1996. Integrating diffusion of innovations and theory of reasoned action models to predict utilization of information technology by end-users. In Kautz, K., Pries-Heje, J. (eds). Diffusion and adoption of information technology. Springer. https://doi.org/10.1007/978-0-387-34982-4_10
Notoatmodjo, S. 2010. Metodologi Penelitian Kesehatan. Rineka Cipta.
Royce, W. W. 1987. Managing the development of large software systems: concepts and techniques. Proceedings of the 9th international conference on Software Engineering. 328-338.
Sasankar, A. B. & Chavan, V. 2011. SWOT analysis of software development process models. International Journal of Computer Science Issues (IJCSI), 8(5), 390-399. https://images.template.net/wp-content/uploads/2016/01/18110814/swot-analysis-of-project-management-software.pdf
Tooranloo, H.S. & Saghafi, S. 2021. Assessing the risk of hospital information system implementation using IVIF FMEA approach. International Journal of Healthcare Management, 14(3), 676-689. https://doi.org/10.1080/20479700.2019.1688504
Tooranloo, H.S., Saghafi, S. & Ayatollah, A. S. 2020. Evaluation of failure causes in employing hospital information systems. Journal of System Management, 6(3), 31-76. https://sjsm.shiraz.iau.ir/article_678894_aa8e8e8c19dd8ae8cdc595edee357bf5.pdf
Simandjuntak, J. P. 2009. Mengatasi kendala dalam penerapan sistem informasi di institusi. Jurnal EKSIS, 2(2), 18-25.
Simon, P. 2010. Why new systems fail. Cengage Learning.
Stamatis, D. H. 2003. Failure mode and effect analysis: FMEA from theory to execution. Quality Press.
Sutandra, L. 2019. Pengaruh sistem pengamanan data pasien di rumah sakit menuju era revolusi industri 4.0. Journal of Health Science and Physiotherapy, 1(2), 106-114. https://doi.org/10.35893/jhsp.v1i2.20
Taylor, S. & Todd, P. A. 1995. Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
Thompson, R. L., Higgins, C. A. & Howell, J. M. 1991. Personal computing: Toward a conceptual model of utilization. MIS quarterly, 15(1), 125-143. https://doi.org/10.2307/249443
Vallerand, R. J. 1997. Toward a hierarchical model of intrinsic and extrinsic motivation. Advances in experimental social psychology, 29, 271-360. https://doi.org/10.1016/S0065-2601(08)60019-2
Westland, J. C. 2002. The cost of errors in software development: evidence from industry. Journal of Systems and Software, 62(1), 1-9. https://doi.org/10.1016/S0164-1212(01)00130-3
Wilson, C. 2013. Brainstorming and beyond: a user-centered design method, Newnes.
Wong, L. P. 2008. Focus group discussion: a tool for health and medical research. Singapore Med J, 49(3), 256-60. http://www.smj.org.sg/sites/default/files/4903/4903me1.pdf
Zahra, M. N., Dzakiyyah, A., Munjiyanti, S. K., Rachim, N. A. & Kraugusteeliana, K. 2021. Manajemen risiko sistem informasi rumah sakit (Studi kasus: rumah sakit EMC Tangerang). Senamika, 2(1), 456-469. https://conference.upnvj.ac.id/index.php/senamika/article/view/1429/1016
Zhang, S., Boukamp, F. & Teizer, J. 2015. Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (JHA). Automation in Construction, 52, 29-41. https://doi.org/10.1016/j.autcon.2015.02.005
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