Theses (MBA In Healthcare Management)

Aims: With the rapid proliferation of data in healthcare it has provided an opportune platform creation of Artificial Intelligence (AI). AI has brought a paradigm shift for healthcare professionals, promising improvement in delivery and quality. This study aims to determine the perception of healthcare personnel on perceived ease of use, perceived usefulness, and subjective norm toward attitude for artificial intelligence acceptance. Methods: This is a cross-sectional single institutional study of employees’ perception of adopting AI in the hospital. The study population is all healthcare personnel of a private hospital. The inclusion criteria include all healthcare personnel involved with clinical management such as doctors, nurses, and others. The survey was conducted using a questionnaire adapted from Technology Acceptance Model and a four-point Likert scale was used for the measurement variables in this study. Data were analysed using IBM Statistical Package for the Social Sciences (SPSS) Version 26. Results: There were 96 respondents. This study started off with three hypotheses but has found that only two hypotheses have been accepted and one hypothesis has been rejected. H2 to H3 perceived usefulness and subjective norm respectively, showed positive relationship between their perception on artificial intelligence acceptance and were accepted However, H1 which was ease of use, was rejected as it did not generate a positive relationship between ease of use on attitude and artificial intelligence acceptance. Conclusion: This study has shown the significant relationship and the importance of ease of use, perceived usefulness, and subjective norm to the acceptance of AI. In the study results, there are determining factor and mostly those with most interaction with the patients and clinical management have a strong acceptance of AI in their practices. Key words: Artificial Intelligence, Acceptance, Healthcare, Healthcare Professionals

Technological evolution has revolutionized surgical procedures with robotic surgery emerging as a minimally invasive approach that offers a greater precision and faster recovery. However, the acceptance of robotic surgery in the Southeast Asia including Malaysia lags behind United States and Europe countries. Misconceptions and limited understanding still persisting, particularly among generation X individuals facing increasing health challenges. Concerns about costs, fears and scepticism lead to the preference for traditional surgery. The study aims to identify the determinants influencing the actual acceptance of robotic surgery. Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) were used to identify determinates influencing actual acceptance. An online Google survey was distributed via purposive sampling to Generation X individuals with medical conditions and surgical history, particularly those visiting private hospitals. Results showed a positive correlation between modern technology use and perceived benefits with intention to accept robotic surgery, while familiarity and perceived concern had a negative impact (p<0.05). Behavioural intentions significantly influenced actual acceptance (p<0.05) and moderated relationships between variables. Greater use of modern technology, perceived benefits, and intention to accept are linked to increased acceptance of robotic surgery, while higher familiarity and perceived concerns may reduce acceptance. Healthcare organizations and policymakers should address safety, malfunctions, and costing concerns to enhance acceptance, especially as robotic surgery is still in early stages in Malaysia. Keywords: Behavioural intentions, Actual acceptance, Robotic surgery, Generation X, Healthcare