The Effect of Artificial Intelligence on Healthcare Staff Performance and Patient Care Satisfaction

Aim: This study aimed to investigate the perceived effects of artificial intelligence (AI) on nurse performance and patient care satisfaction in a hospital setting.Specifically, it sought to: (1) explore nurses' perceptions of AI's impact on clinical performance; (2) assess patient satisfaction with nursing care; and (3) examine the relationship between nurses' AI perceptions and patient satisfaction.Methodology: A quantitative research design was employed to assess the perceived effects of artificial intelligence (AI) on healthcare staff performance and patient care satisfaction.The study involved 140 participants, consisting of 67 staff nurses and 73 patients, selected through non-probability convenience sampling.Data were collected using two standardized survey instruments: one adapted from Lagman (2021) to measure AI's impact on time management, decision-making support, and workload reduction; and another from Vaughn (2020) to assess patient satisfaction in terms of quality of care, communication, and timeliness of service.Both instruments utilized a 4-point Likert scale and demonstrated acceptable reliability coefficients (0.81 and 0.87, respectively).Statistical treatments included frequency and percentage distributions for demographic data, weighted means and standard deviations for interpreting Likertscale responses, and linear regression analysis to examine the relationship between AI perception and patient satisfaction.The patient population was predominantly older adults (aged 60-69), while the majority of nurses were in the 25-29 age group.Results: By automating repetitive procedures, artificial intelligence is thought to be useful in increasing clinical decision-making, improving time management, and lowering the workload for nurses.Patients were very happy with the nursing care they received, especially when it came to prompt responses and clear communication.Regression analysis, on the other hand, showed that patient satisfaction was not significantly impacted by the perceived impacts of artificial intelligence (p-value = 0.925).Conclusion: While AI was perceived to enhance nurse workflow and efficiency, it did not significantly influence patient satisfaction.Thus, integrating AI into nursing practice should be done cautiously and ethically.Though perceptions of AI did not directly affect patient satisfaction, continuous training can optimize its indirect benefits on workflow and care quality, aligning technological efficiency with patient-centered care.