Health Data Managers' Perceptions And Acceptance Of Health Management Information Systems

Abstract

Background: All of the components of the healthcare system rely on accurate and reliable data to make educated decisions. The health information system provides the underpinnings for decision-making, which has four key functions: data generation, compilation, analysis and synthesis, and communication and use. Health Management Information System (HMIS) has the unlimited potential to enhance the quality of healthcare. However, technology can be implemented and still face resistance from users. Since the introduction of HMIS, studies are still scarce to assess its adoption and level of acceptance from the end-users' perspective. The study aimed: To assess the perceived usefulness and acceptance of HMIS by Health Data Managers (HDMs) in KSA. Methods: A cross-sectional study was co[1]nducted using the Technology Acceptance Model (TAM) to assess HMIS usage. A mixed-method approach was used to collect data from 280 HDMs. Data analysis utilized descriptive statistics for distribution and ANOVA to test the correlations between perceptions, institutional factors, technology, and the acceptability of HMIS. Results: Perceived usefulness (PU), perceived ease of use (PEU), and technology factors were significantly inter-correlated with each other and with the acceptance of the HMIS system. The degree of HMIS acceptance by HDMs is at 64.4%. HDMs' perceived usefulness (PU) of HMIS highlights its core functionalities. Conclusion: The significance of HMIS usefulness and acceptance among HDMs is evident but requires further improvement such as continuous training on the use of Health Management Information System, making the system more user-friendly, increasing user support when needed, and ensuring timely communication of updates. HDMs acknowledge the positive influence of HMIS on their achievements.