<![CDATA[Outpatient care requires accurate, timely, convenient, and secure patient identification. However, problems related to patient identification, administrative efficiency, and data security may affect patients’ experiences and satisfaction. FRISTA is a biometric authentication system designed to support automated patient identification. Nevertheless, the association between FRISTA use and outpatient satisfaction in primary healthcare settings in Indonesia remains insufficiently evaluated. This study aimed to examine the association between the use of the FRISTA application and outpatient satisfaction at Darkuthni Primary Clinic, Tojo Una-Una Regency, Central Sulawesi, Indonesia. A quantitative approach with a cross-sectional design was employed, involving 150 outpatients selected using stratified random sampling from the Obstetrics and Gynecology, Internal Medicine, and Neurology Clinics. Data were analyzed using the Chi-square test and multivariate binary logistic regression, with results expressed as odds ratios (OR) and 95% confidence intervals (CI). The Chi-square test showed that ease of service access, service speed, patient identification accuracy, and personal data security were significantly associated with patient satisfaction (p < 0.05). Multivariate binary logistic regression showed that patient identification accuracy (OR = 2.226; 95% CI: 1.019–4.861; p = 0.045) and personal data security (OR = 1.748; 95% CI: 1.028–2.972; p = 0.039) remained significantly associated with patient satisfaction, whereas ease of service access and service speed were not independently associated with patient satisfaction. The multivariate binary logistic regression model yielded a Nagelkerke R² of 0.897. The use of the FRISTA biometric application was significantly associated with outpatient satisfaction. Therefore, improving patient identification accuracy and strengthening personal data security should be prioritized in implementing biometric-based digital health systems in primary healthcare settings to enhance patient satisfaction.]]>
