Electronic Medical Records (EMRs) require interoperability capabilities to effectively integrate with other health information systems. For EMRs integration, it is crucial to adhere to the guidelines outlined in KMK HK.01.07/MENKES/1423/2022. The implementation of EMRs was carried out in 2019 at Hospital X. Until now, Hospital X has not adjusted the EMRs’ variables and metadata. This study aimed to analyze EMRs’ variables and metadata for health data interoperability. This was a quantitative study. Data collection used a documentation study guideline instrument. Data analysis used descriptive statistic. This study showed that variables and metadata from 5 datasets consisting of emergency, outpatient, inpatient, laboratory, and pharmacy datasets, there were 45,3% exist and appropriate; 20% exist and inappropriate, and 34,7% do not exist compared to KMK HK.01.07/MENKES/1423/2022. To improve the quality of EMRs, it is necessary to adjust variables and metadata in accordance with KMK HK.01.07/MENKES/1423/2022; identify users’ data and information needs; and conduct periodic quality audits and evaluations of EMRs.