Hospitals, as healthcare service providers, are required to improve the quality and efficiency of their services, one of which is through the implementation of Electronic Medical Records (EMR). This transformation impacts the workload of staff, particularly in the Medical Records Unit. This study aims to analyze the workload and staffing needs of the Medical Records Unit at Dr. Sitanala Central General Hospital using a descriptive quantitative approach with the Health Workload Analysis (ABK-Kes) method. Data were collected through observation and interviews with six staff members using observation sheets, interview guidelines, and informed consent forms. The results show that the Available Working Time (AWT) is 72,000 minutes per year, exceeding the national standard. There are 11 core tasks and 3 supporting tasks, with the highest Standard Workload (SWL) found in the recording and filing activity (72,000), and the Standard Supporting Task (SST) value is 1.2. Based on achievements, SWL, and SST, a total of four staff members are needed to balance the workload. Currently, only one staff member remains due to staff rotation, resulting in a shortage of three personnel. Therefore, Dr. Sitanala Hospital needs to recruit three additional medical record officers with a minimum qualification of a D3 in Medical Records to maintain optimal service and manageable workloads.

Puskesmas is a functional health organization as well as a center for community health development. The Klender urban health center currently uses an online registration system and offline registration. This study aims to determine the online and offline outpatient registration system at the Klender Village Community Health Center in 2023. This research is a qualitative research. In this study, researchers directly observed the process of outpatient registration. Retrieval of research data is done by observation and interviews with registration officers. The results of the study found that online registration uses the Jaksehat application, patients do not need to come to the health center to register, patients come to the health center to validate queue numbers to the polyclinic only. Calling patients who register online is prioritized with a system of calling queue numbers 1-5, 11-15 and so on. Offline registration is done by having patients come directly to the puskesmas and queue to register. For calling patients, register offline after patients register online with queue numbers 6-10, 16-15, etc. The problems found in registration were the separate queues for patients who registered online and offline and there was a mismatch in calling patients according to the serial number of the queue. The conclusion in this study is that online registration of outpatients uses the Jaksehat application and offline registration is carried out using the system used by the puskesmas. It is expected that the puskesmas will separate the queues of patients who have registered online with patients who have registered offline.