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Patient satisfaction is a feeling that arises from the performance of health services that have been obtained after the patient compares it with what was expected. Rather than the reality that occurs there are still complaints about outpatient registration services based on electronic medical records, Frequent obstacles are if the network is disrupted, then access to the EMR can be hampered or cannot be accessed at all and the limited capacity of the waiting room is also an obstacle, especially with the large number of patients during peak hours so that many patients wait outside the waiting room. This study aims to determine the level of patient satisfaction in outpatient registration based on EMR. This study uses a quantitative method with a population of 13,750 and a sample of 99 outpatients. Based on the results of the study in 2025, it can be concluded that patient satisfaction with RME-based outpatient registration in the aspect of tangibles can be categorized as "Less Satisfied" especially regarding facilities such as AC/Television, from the aspect of reliability it can be categorized as "Satisfied" even though there are a few respondents who answered "Less Satisfied", from the aspect of responsiveness it can be categorized as "Satisfied" even though there are some patients who feel "Less Satisfied", from the aspect of assurance in RME-based outpatient registration it can be categorized as "Satisfied" but there are a small number of patients who answered "Less Satisfied" and from the aspect of empathy it can be categorized as "Satisfied" even though there are some patients who answered "Less Satisfied". So the researcher's suggestion is that the Hospital improves the quality of the waiting room, especially AC, television, increases the number of chairs and provides adequate seating for all patients, so that patients are more comfortable and avoid overcrowding

Long outpatient waiting time is an indicator of suboptimal hospital administrative systems. The Hospital Management Information System (SIMRS) is designed to improve administrative efficiency; however, in practice, complaints about long patient waiting time still persist. This study aims to examine the relationship between the registration administrative system using SIMRS and the waiting time for outpatient services at RS Patria IKKT in 2025. A quantitative approach with a cross-sectional analytical design was employed. The sample consisted of 100 outpatient respondents selected using purposive sampling. Data were collected through questionnaires and analyzed using the Chi-Square test and Spearman correlation to determine the relationship between variables. The results show that the system quality, information quality, and service quality of SIMRS at RS Patria IKKT are categorized as good. Spearman correlation analysis reveals no significant relationship between system quality (p=0.281) and information quality (p=0.910) to waiting time. However, the Chi-Square test indicats a significant relationship between service quality (p=0.001) and outpatient waiting time. The implementation of SIMRS at RS Patria IKKT contributes to accelerating administrative processes and reducing outpatient waiting time. Nevertheless, improvements in service quality are necessary to achieve more optimal results.

Brand equity turns into a decisive element that affects patient choices. Patients are more likely to select hospitals with strong brand awareness, brand association, perceived quality, and brand loyalty, according. However, there is currently little research on the direct connection to the patient's decision-making process, particularly when it comes to hospitals.This study aims to determine the relationship between brand equity and patient decisions to choose Hospital X in Depok. This study uses a quantitative approach with a cross sectional design. The sample consisted of 131 outpatients selected using consevutive sampling technique and calculated with Gpower software. The independent variables include four brand equity indicators, namely brand awareness, brand association, perceived quality, and brand loyalty, while the dependent variable is the patient's decision. Data were collected through questionnaires and analyzed using the chi- square test. The results show that only brand loyalty is significantly related to patient decisions (p=0.009), while brand awareness, brand association, and perceived quality are not related but need to be improved through more effective marketing strategies. This study contributes to the management of RS X in developing branding strategies to increase patient attraction, especially by strengthening brand loyalty and improving aspects that are not yet optimal.

The quality of outpatient services is an essential indicator of hospital performance and patient satisfaction. At Mega Buana Hospital Palopo, patient complaints remain regarding waiting times, limited facilities, and staff communication, highlighting the need for evaluation based on the Ministry of Health Regulation No. 129/Menkes/SK/II/2008. This study aimed to analyze the relationship between human resources, medical staff interactions, service processes, and patient satisfaction with outpatient service quality. This research employed a quantitative design with a cross-sectional approach. A total of 116 patients were selected through accidental sampling. Data were collected using a validated and reliable questionnaire and analyzed using the chi-square test. The results revealed significant associations between human resources (p=0.001), medical staff interactions (p=0.003), and patient satisfaction (p=0.002) with outpatient service quality. The service process, particularly waiting time and queue management, proved to be important factors influencing patients’ perceptions of service quality. Overall, the service quality was categorized as good but not yet fully aligned with the national standards, especially in administrative speed, queue system, and facility comfort. In conclusion, outpatient service quality at Mega Buana Hospital Palopo is influenced by human resources, medical staff interactions, service processes, and patient satisfaction. The findings emphasize the importance of strengthening human resource management, improving the quality of medical staff communication, enhancing queue management, and providing adequate supporting facilities to meet national service standards.

In the healthcare sector, patient revisit intention serves as an important measure of hospital success, influencing financial stability, operational effectiveness, and long-term patient retention. With increasing competition, hospitals must strengthen trust, improve service quality, and maintain a positive institutional image to retain patients. This study focuses on the declining number of non-BPJS (non-insured) patients at Cinta Kasih Tzu Chi Hospital, Cengkareng, which impacts revenue sustainability. The research aims to assess how trust and customer perceived value affect revisit intention, and whether hospital image moderates these relationships. A quantitative approach was applied using a structured questionnaire distributed to 95 non-BPJS outpatients who had previously sought treatment more than once. Data were analyzed through Structural Equation Modeling (SEM) using the Partial Least Squares (PLS) method via SmartPLS software. The findings reveal that both trust and perceived value significantly and positively influence revisit intention, implying that patients with strong trust and satisfaction tend to return. Although hospital image directly influences revisit intention, it does not significantly moderate the link between perceived value and revisit intention. Therefore, hospitals are advised to enhance patient trust and perceived value while sustaining a credible institutional image to strengthen loyalty among non-BPJS patients

Malaria is an infectious disease caused by various species of Plasmodium, such as Plasmodium vivax, Plasmodium falciparum, Plasmodium malariae, and Plasmodium ovale, which are transmitted through the bite of Anopheles mosquitoes. The spread of this disease is highly influenced by the presence of mosquito breeding sites as vectors of transmission. This study aims to analyze the relationship between the knowledge and attitudes of outpatients toward malaria prevention behaviors at the ASA Enterop Clinic in Jayapura. The study design used a descriptive analytical method with a cross-sectional approach. The research instrument was a questionnaire, and data analysis involved both univariate and bivariate analysis, as well as Chi-square statistical testing. The results showed that 57 respondents (54.0%) had good knowledge with good prevention behavior, and 5 respondents (8.0%) had moderate knowledge with good prevention behavior. Meanwhile, 1 respondent (4.4%) had good knowledge but poor prevention behavior, and 5 respondents (5.0%) had moderate knowledge with poor prevention behavior. The conclusion of this study indicates a significant relationship between knowledge and attitudes with malaria prevention behavior in the research area. These findings highlight the importance of improving public knowledge and attitudes in preventing malaria and suggest that strengthening health education and awareness is crucial for disease prevention.

Introduction: Repurchase intention is one of the important indicators in the world of health services, especially in hospitals. XYZ General Hospital must evaluate the services provided to patients by understanding patient perceptions, particularly through patient experience, as 50% of respondents expressed unwillingness to recommend or reuse the hospital’s services. This highlights a potential gap between service delivery and patient expectations. Method The purpose of this study was to analyze the influence of patient experience, brand image, and trust on repurchase intention at XYZ Hospital, with attitude as an intervening variable. This study employed a quantitative explanatory research design, involving 182 patients from outpatient and inpatient units who had visited more than once. Data were collected through structured questionnaires and analyzed using the Structural Equation Model (SEM) with the Partial Least Square (PLS) method, supported by the SmartPLS software. Results: The results revealed that patient experience, brand image, and trust significantly affect patient attitudes, which in turn directly influence repurchase intention. Attitude serves as a mediating variable between patient experiences, brand image, trust, and repurchase intention. Simultaneous testing confirmed that all independent variables have a joint effect on repurchase intention. Among the variables tested, attitude showed the strongest direct influence on repurchase intention, while patient experience had the highest indirect effect through attitude. Conclusion: These findings underscore the critical role of patient experience in shaping positive perceptions of service quality, which contribute to strengthening brand image, increasing trust, and fostering patient attitudes that support future service utilization. Therefore, healthcare providers must prioritize improving communication, staff responsiveness, and patient-centered care to enhance overall experience, build loyalty, and ensure long-term sustainability of healthcare services.

The level of healthcare quality is determined by the extent to which societal or individual requirements for healthcare are met in alignment with high professional benchmarks, while ensuring prudent resource utilization and impact within government and societal constraints. In addition, it must be delivered in a safe and satisfactory manner to patients, following ethical standards and best practices. Quality indicators of health services in hospitals have challenges in improving the overall quality of health services. In the Cardiac Poly Outpatient Unit at Kendari City Hospital, it is necessary to know the strategies used in improving service quality. The purpose of this study is to ascertain the Strategy for Improving the Quality of Health Services in the Cardiac Poly Outpatient Unit at Kendari City Hospital in 2024. The research methodology used is qualitative and descriptive, using the Phenomenal model to investigate various phenomena in Kendari City Hospital with data collection techniques, namely field observations at the research location and also in-depth interviews with informants who have been determined. The results showed that the quality strategy of health services provided by the Kendari City Hospital is quite good, especially in the Cardiac Poly Outpatient Unit. However, considering the importance of health services, it must always be improved so that the quality of health services received by the community is always maintained. There are still many things that must be considered, for example, the problem of waiting rooms that must be added to the seats for visitors and the speed of service that must still be improved.

Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service delivery. This approach involves modeling arrivals and service processes, applying queuing models (such as single-server, multi-server, and priority queues), and formulating optimization objectives—often to minimize total costs, patient waiting times, or resource idling. Recent research demonstrates that combining queuing theory with mixed-integer programming and simulation techniques enables healthcare managers to allocate resources dynamically, set staffing levels, and assign priorities among different patient categories. For example, the use of mixed-integer programming can determine the optimal number of servers, beds, and service rates based on patient flow and priority needs, striking a balance between reducing waiting times for critical cases and controlling operational costs. These mathematical models also account for practical constraints and stochastic variability inherent in clinical settings. Applications span emergency departments, outpatient clinics, and even pharmacy and blood service centers—showing significant improvements in system efficiency, reduced patient wait times, and enhanced overall care quality. Thus, mathematical programming is a powerful decision-support tool for queue management, offering evidence-based strategies to address congestion and resource allocation challenges in complex healthcare environments.

The increase in the number of patient visits at Asy Syifa Sambi General Hospital was not accompanied by an increase in patient satisfaction. In fact, patient satisfaction actually decreased slightly, although it was still within the ideal category. This condition raises questions regarding the role of hospital image in influencing patient satisfaction. This study aims to determine the effect of brand image on patient satisfaction in the outpatient installation of Asy Syifa Sambi General Hospital, Boyolali. The type of research used was quantitative with a non-experimental design (analytical survey) and a cross-sectional approach. The number of samples in this study was 100 respondents obtained by non-probability sampling technique using the accidental sampling method. Data analysis was carried out through simple linear regression analysis. The results of the univariate analysis showed that the brand image variable was categorized as "Very Good" by 78% of respondents, while 64% of respondents categorized the level of patient satisfaction in the "Very Satisfied" category. In the bivariate analysis with a simple linear regression test, the t-value was 11.106, which was greater than the t-table of 1.984 with a significance level of 0.00 <0.05. These results indicate that brand image has a significant impact on patient satisfaction. Based on these findings, hospitals are advised to continue enhancing their brand image by improving service quality, enhancing the competence of healthcare personnel, and optimizing available facilities. These efforts are expected to maintain and increase patient satisfaction levels. Future research should include other variables, such as service quality, trust, or patient loyalty, to obtain more comprehensive results regarding the factors influencing patient satisfaction.

This study investigates the adoption of Electronic Medical Records (EMR) by registration staff at Tangkiling Health Center, Palangka Raya, using the Technology Acceptance Model (TAM) framework. Out of 61 total healthcare workers, five medical record staff with educational backgrounds in midwifery, nursing, dental nursing, and non-medical high school were purposively selected as research participants. The study employed a qualitative descriptive method, combining in-depth interviews and direct field observations. Results indicate that while the staff acknowledged the usefulness of EMR in improving service efficiency and data accessibility, several barriers hindered its effective use—primarily a lack of training, limited digital literacy, unstable internet connectivity, and inadequate hardware such as computers and printers. Observations showed that only the registration unit had a single shared computer, while other units like outpatient clinics, pharmacy, and cashier still relied on manual documentation. This fragmentation has led to duplicate workloads and disrupted patient data continuity. Despite these challenges, the staff demonstrated a positive attitude and strong behavioral intention to adopt EMR if provided with sufficient infrastructure and regular training. The study concludes that successful EMR implementation in primary healthcare requires not only user acceptance but also institutional readiness, adequate resources, and integrated systems across all service units.

This community service activity aimed to improve administrative staff’s knowledge regarding the importance of the online queue system using the Mobile JKN Application for BPJS outpatient services at Mitra Sejati General Hospital in 2025. The method used was a quasi-experimental design with a pretest–posttest approach involving the entire population of 55 respondents selected through total sampling. The intervention was conducted through direct counseling and assistance. Data were analyzed using the Wilcoxon test with a significance level of α=0.05. The results showed an increase in good knowledge from 63.6% to 76.4% after the intervention, with a p-value of 0.035, indicating a significant difference before and after counseling. The implementation of the Mobile JKN online queue feature proved effective in reducing waiting times, increasing service transparency, and improving patient satisfaction. It is recommended that the hospital continue socialization efforts and encourage optimal use of the application to enhance healthcare service quality.

Information systems can be technically defined as a set of interconnected components designed to support decision-making and drive organizational operations. PT Asuransi Takaful Keluarga utilizes an information system in the form of the Takaful eCard mobile application, which facilitates registration and access to outpatient and inpatient insurance services at partner hospitals. Over time, several usability issues have emerged related to the application's user interface (UI) and user experience (UX). To evaluate user satisfaction and comfort levels, usability testing was conducted using the Heuristic Evaluation method. This method assesses UI design flaws based on 10 established usability principles. The evaluation revealed design issues in (H2) question Q6, (H3) question Q7, and (H10) questions Q27 and Q28. These issues are primarily related to the absence of new feature additions, ineffective message dialog boxes, and the lack of a user guidance module. The findings highlight the need for UI/UX improvements to enhance user interaction with the Takaful eCard application.

Acute Coronary Syndrome (ACS) is an emergency condition in which a group of symptoms of acute ischemic chest pain are part of coronary heart disease (CHD) and require immediate treatment. The prevalence of CHD in Aceh is higher than the national average of 1.6% or around 20,244 people. This study is expected to describe the prevalence, number of deaths (mortality) and average length of stay (LOS) of STEMI patients during hospitalization so that this data can significantly enhance knowledge for health practitioners and be used as a warning to be more aware of STEMI incidents in Aceh. This study uses a retrospective descriptive research design with a research sample of all patients diagnosed with ACS with ST-Elevation who were hospitalized at Dr. Fauziah Hospital in June 2022-June 2023. The data collection technique is total sampling obtained from medical record data. It was concluded that the majority of patients were male, namely 80.7% (71 patients), the highest age was 45-60 years with 45 cases (51.1%). History of CHD was the dominant risk factor (62% of cases). The most dominant type of ACS with ST-Elevation was Anterior STEMI as many as 32 cases (52.3%) with onset <12 hours (51% of cases) and predominantly came with KILLIP I (62.5% of cases). The most dominant management was with conservative therapy 56 cases (61.4%). The average length of patient care was 5 days (45.1%) and the most outcomes with outpatients as many as 72 cases (81.8%).

This research aims to simplify the management of dr. Chasbullah Kota Bekasi    hospital outpatient service data. so that work becomes effective and efficient, in addition to the design of this application can also help solve work problems related to reports that can be completed quickly, precisely and accurately. The research method used in this Hospital outpatient service application system is Grounded Research which is based on facts and uses comparative analysis with the aim of conducting empirical generation, establishing concepts, proving theories, developing theories, collecting data and analyzing data at the same time. In addition, the author also collected data through direct observation, interviews, literature studies, and documentation to obtain the required information. After conducting the research, the author concluded that the Hospital Outpatient application system can help data processing become more effective and efficient.

Type 2 Diabetes Mellitus (DM) is a disease caused by impaired insulin function, impaired insulin secretion, or both, resulting in a hyperglycemic condition. Patients with type 2 DM generally exhibit characteristics such as a Random Blood Glucose level exceeding 200 mg/dL and an HbA1c  level exceeding 6.5%. The accuracy of medication administration to patients must also consider the rationality of antidiabetic therapy in order to influence the success rate of optimal therapy. This study aims to evaluate the rationality of patient appropriateness and indication appropriateness in outpatients with type 2 DM at Tabanan Regional Public Hospital (RSUD Tabanan). This study employed a semi-quantitative observational research design with a retrospective approach by reviewing patient medical records from the initiation of therapy. Sampling was conducted using purposive sampling, whereby samples had to meet predetermined inclusion criteria. The results indicated that the age group with the highest prevalence of DM patients at RSUD Tabanan was over 56 years old (74%), with a predominance of females (63%). The most common comorbidity among DM patients was hypertension alone (24.5%). Based on the findings, the percentage of patient appropriateness rationality among DM outpatients at RSUD Tabanan was 97.5%, while the percentage of indication appropriateness rationality in type 2 DM outpatients at RSUD Tabanan was 98.5%.

The implementation of Hospital Management Information Systems (SIMRS) has become a strategic necessity to improve healthcare service quality and operational efficiency. This study focuses on evaluating the performance of SIMRS in the outpatient registration unit of Nur Hidayah Hospital Bantul, where system disruptions, inconsistent SOP application, and limited user training were identified as core issues. The research aims to assess how well the SIMRS aligns with the Human, Organization, and Technology components through the HOT-Fit model framework. A descriptive qualitative method was employed using purposive sampling to select five informants directly involved in SIMRS operations, including registration officers, IT staff, and the head of the medical records unit. Data were collected through in-depth interviews, direct observation, and documentation, and analyzed thematically based on the HOT-Fit model. The findings show that SIMRS contributes positively to workflow efficiency and data management; however, human factors such as inconsistent training and input errors remain prevalent. Organizational support is visible but lacks structured evaluation routines, and although the technological infrastructure is generally stable, peripheral device and network issues persist. The study synthesizes that effective SIMRS performance requires not only technological readiness but also consistent organizational commitment and continuous human resource development. It concludes that strengthening user competence, formalizing SOP usage, and improving infrastructure are essential to optimize the system's functionality and alignment with the HOT-Fit model.

Background: In 2021, there were 19.5 million diagnosed cases of Type 2 Diabetes Mellitus (T2DM) in Indonesia. In Riau Province, T2DM ranked fifth among the most common conditions treated at community health centers in 2022. Obesity, a major risk factor for T2DM, had a national adult prevalence of 21.8% (Riskesdas 2018) and 24.1% in Riau. At Puskesmas Karya Wanita, 483 new T2DM cases were recorded in 2024, with 434 patients having a BMI ≥ 25 kg/m². The productive age group is particularly at risk for obesity and T2DM, yet screening remains suboptimal. Therefore, research on the relationship between obesity and T2DM at this primary healthcare facility is essential.Objective: To determine the association between obesity and the incidence of T2DM among individuals of productive age at Puskesmas Rawat Inap Karya Wanita, Pekanbaru.Methods: This was a quantitative analytic observational study with a cross-sectional design. The sample included productive age outpatients at the general clinic of Puskesmas Karya Wanita, selected using quota sampling. Data were analyzed using univariate, bivariate (Chi-square test), and Odds Ratio analyses.Results: A significant association was found between obesity and T2DM (p = 0.0029), with an Odds Ratio of 4.517.Conclusion: There is a significant relationship between obesity and T2DM in the productive age group. Individuals with obesity are 4.517 times more likely to develop T2DM compared to those without obesity.

Electronic Medical Records (EMR) are essential for improving the quality, efficiency, and continuity of healthcare services. Despite mandates requiring full implementation of EMRs in Indonesian healthcare facilities by the end of 2023, many hospitals continue to face challenges in achieving effective adoption. This study aims to analyze the implementation of EMRs in the outpatient services of Nur Hidayah Hospital, Yogyakarta, using the 5M framework: Man, Money, Machine, Materials, and Method. Employing a qualitative descriptive approach, data were collected through in-depth interviews, observations, and document analysis involving key informants from medical records staff, registration officers, and IT personnel. The findings revealed that while the availability of staff and supporting infrastructure such as computers and software was generally adequate, limitations persisted in human resource specialization, training access, and system integration. Financial planning for EMR-related needs was done through annual budgeting (RAB), but coordination between departments remained minimal. Key challenges included slow internet connectivity, limited IT staff, and lack of specific Standard Operating Procedures (SOPs) for EMR usage. Overall, the EMR system has been implemented in most outpatient units, yet not all units have fully transitioned due to technical and organizational barriers. This study concludes that optimizing EMR implementation requires not only technological readiness but also organizational alignment, continuous staff development, and robust inter-departmental coordination.

This study is based on the results of initial observations that indicate a downward trend in the number of non-JKN outpatients. In January 2024, the achievement was only 415 of the target of 596 visits (69.6%), the achievement was again not in accordance with the target in September with 92.8%. The purpose of this study was to examine the effect of psychological factors and social factors on patient decisions to visit with brand image as an intervening variable in outpatients at Hermina Hospital, Depok. This type of research is quantitative with a causality design. The population is outpatients at Hermina Hospital, Depok. The results of the distribution through questionnaires obtained 130 respondents according to the minimum sample set. The analysis technique used the three box method analysis and SEM-PLS. The results of the study showed that psychological factors, social factors, and brand image simultaneously had a significant effect on patients' visit decisions, with a contribution of 67.8%. Both psychological and social factors influenced brand image and patients' visit decisions. Brand image also had an effect on patients' visit decisions. Among the three variables, brand image was the most dominant in increasing patients' visit decisions.