Health centers play an important role in maintaining community health status, and their service will impact on community satisfaction and loyalty to use the facility. This study aims to analyze the role of quality of services in a health center in West Lombok Indonesia, with the focus on the established nursing service standards and patient expectations. The purpose of this study is to find out the quality of nursing services to patient satisfaction at the Gunung Sari Health Center in West Lombok Regency. The research methodology used is quantitative research with an analytical observational research design and a cross sessional approach. The population were 173 people and the sample used was inpatients for more than three days and could read in Gunung Sari Health center, amounting to 68 people with accidental sampling techniques. Data collection tool is a questionnaire and uses Chi Square data analysis. The results show that the p-value is equal to 0.00 which means there is a significant influence between the quality of nursing services on patient satisfaction at Gunung Sari Health Center in West Lombok Regency.

The study aims at exploring the effect of artificial intelligence as measured by machine learning capability and expert systems capability on patient satisfaction. As informant participants, medical staff workers in healthcare institutions in KSA comprise the population of the study. Hence, a sample consisting of 300 participants was used to gather research data via a questionnaire developed based on previous works. By means of Smart PLS 3.0 software, the results indicate that both machine learning and expert systems have significant effects on patient satisfaction. The study concluded that artificial intelligence capability is a cornerstone of patient satisfaction. such a statement encompasses theoretical and empirical implications as stated at the end of this study.

This paper presents an empirical investigation to measure different dimensions of hospital service quality (HSQ) by gap analysis and patient satisfaction (PS). It also attempts to measure patients’ satisfaction with three dimensions extracted from exploratory factor analysis (EFA) by Principle component analysis method and conformity factor analysis (CFA). In addition, the study analyzes relationship between HSQ and PS in the context of Iranian hospital services, using structural equation modeling (SEM) from patients’ perspectives. The maximum gap observed in “responsiveness” and the minimum one in “assurance”. In addition, patients had the most satisfaction in “trust” with the mean of 3.83 followed by “General Satisfaction” with the mean of 3.68 and they had the least satisfaction in “Acceptance” with the mean of 3.53. Two measurement models were used for measuring hospital service quality and patient satisfaction and one structural model, which showed the relationship between them. The result of this study showed that there was a positive and significant impact from hospital service quality on patient satisfaction (0.463). In addition, there was a positive and significant relationship between hospital service quality and five dimensions. Furthermore, it was shown that patient satisfaction and three dimensions (General Satisfaction, Trust, and Acceptance) were associated with each other, significantly and positively. At last management strategies and practical suggestions were presented to hospital.