Causal Model of Factors Affecting the Performance of Medical Record in Hospitals under the Office of the Permanent Secretary, Ministry of Public Health
Keywords:
Causal model, Factors affecting, Performance of medical record, Office of the Permanent Secretary, Ministry of Public HealthAbstract
Background: The medical records department is an important unit within healthcare facilities. Its primary role is to manage and supply essential medical and public health data for various purposes, including planning, disease diagnosis, and medical research. Therefore, the efficiency of this department is paramount and must be a top priority for every hospital.
Objective: This study aimed to develop a causal model of factors influencing the performance of medical records departments in hospitals under the Office of the Permanent Secretary, Ministry of Public Health. It also sought to examine the consistency of this causal model with empirical data.
Material and methods: This is a descriptive cross-sectional study conducted in March 2025. Data were collected from 200 hospitals under the Office of the Permanent Secretary, Ministry of Public Health. The sample size was set at 10 units per observable variable, and participants were selected using proportional stratified random sampling. The research instrument was a questionnaire validated by three experts, showing IOC from 0.67 to 1.00 and a reliability coefficient of 0.98. Data analysis was performed using descriptive statistics and structural equation modeling.
Results: Correlation analysis revealed that all observed variables had a positive and statistically significant relationship at the 0.05 level. The model fit assessment with empirical data showed that the organization had the greatest direct effect on the use of information systems, followed by the environment and technology, respectively. Furthermore, the use of information systems directly influenced the performance of medical records. It was also found that the organization had the greatest indirect effect on the performance of medical records, again followed by the environment and technology.
Conclusion: The factors affecting the performance of medical records in hospitals under the Office of the Permanent Secretary, Ministry of Public Health, consist of four factors in the following order: 1) information system usage, 2) organizational factors, 3) environmental factors, and 4) technological factors.
References
กองยุทธศาสตร์และแผนงาน สำนักงานปลักกระทรวงสาธารณสุข. รายงานข้อมูลบุคลากรด้านสาธารณสุข ประจำปี 2566. นนทบุรี: กระทรวงสาธารณสุข; 2566.
กองบริหารการสาธารณสุข กระทรวงสาธารณสุข. คู่มือหลักเกณฑ์การจัดตั้งและปรับระดับศักยภาพของหน่วยบริการสุขภาพ ปีงบประมาณ พ.ศ. 2565. นนทบุรี: กระทรวงสาธารณสุข; 2565.
สถาบันรับรองคุณภาพสถานพยาบาล (องค์การมหาชน). มาตรฐานโรงพยาบาลและบริการสุขภาพ.นนทบุรี: บริษัท ก.การพิมพ์เทียนกวง จำกัด; 2564.
Stanfield, P., Cross, N., & Hui, H. Introduction to the health professions. Burlington: Jones & Bartlett Publishers; 2011.
พีระ ดีเลิศ และจันจิรา ดีเลิศ. ภาวะผู้นำกับการบริหารงานเวชระเบียนในยุคดิจิทัล. วารสารวิทยาการจัดการปริทัศน์. 2565;24(2):147-156.
นพมาส เครือสุวรรณ. การบริหารการพัฒนางานเวชระเบียนในประเทศไทย. [ดุษฎีนิพนธ์ ปรัชญาดุษฎีบัณฑิต สาขาวิชาบริหารการศึกษา] นครปฐม: มหาวิทยาลัยศิลปากร; 2559.
Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. The Processes of Technological Innovation. New York: Lexington Books; 1990.
Awa, H. O., Ojiabo, O. U., & Emecheta, B. C. Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs. JSTPM 2015;6(1):76-94.
Al Hadwer, A., Tavana, M., Gillis, D., & Rezania, D. A systematic review of organizational factors impacting cloud-based technology adoption using technology-organization-environment framework. Internet of Things. 2021;15:1-21.
Awa, H. O., & Ojiabo, O. U. A Model of Adoption Determinants of ERP within TOE Framework. ITP 2016;29(4):901-930.
Lakhwani, M., Dastane, O., Satar, N. S. M., & Johari, Z. The impact of technology adoption on organizational productivity. JIDB 2020;11(4):7-18.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R.E. Multivariate Data Analysis 7th ed. New Jersey: Prentice Hall; 2010.
Best, J.W. Research in education 4th ed. New Jersey: Prentice Hall; 1981.
Chege, S. M., Wang, D., & Suntu, S. L. Impact of information technology innovation on firm performance in Kenya. Inf. Technol. Dev. 2020;26(2):316-345.
Buer, S. V., Strandhagen, J. W., Semini, M., & Strandhagen, J. O. The digitalization of manufacturing: investigating the impact of production environment and company size. J. Manuf. Technol. Manag.2021;32(3):621-645.
Malik, M., Sarwar, S., & Orr, S. Agile practices and performance: Examining the role of psychological empowerment. Int. J. Proj. Manag. 2021;39(1):10-20.
Bokolo, A. J. Exploring the adoption of telemedicine and virtual software for care of outpatients during and after COVID-19 pandemic. Ir J Med Sci. 2021;190(1):1-10.
Pan, Y., Froese, F., Liu, N., Hu, Y., & Ye, M. The adoption of artificial intelligence in employee recruitment: The influence of contextual factors. Int. J. Hum. Resour. Manag. 2021;33(6):1-23.
Pan, X., Dresner, M., & Xie, Y. Logistics IS resources, organizational factors, and operational performance: An investigation into domestic logistics firms in China. Int. J. Logist. Manag. 2019;30(2):569-594.
Aligarh, F., Sutopo, B., & Widarjo, W. The antecedents of cloud computing adoption and its consequences for MSMEs’ performance: A model based on the Technology-Organization-Environment (TOE) framework. Cogent Bus. Manag. 2023;10(2):1-16.
Iis, E. Y., Wahyuddin, W., Thoyib, A., Ilham, R. N., & Sinta, I. The effect of career development and work environment on employee performance with work motivation as intervening variable at the office of agriculture and livestock in Aceh. IJEBAS 2022;2(2):227-236.
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