application need some supportby hospital's information systemwhich is easy to access by the registration officer and for filing officers about some information of patients. This study aims to identify SIM RS readiness in the application of e-health by using the HOT Fit model. The Hot Fit method has several variables, namely: human, organization, technology and net benefits. The population in this study were all registration officers and filling officers of RSUD dr. M. Soewandhi who was taken in total sampling. The variables studied are elements of the HOT Fit model. Data from the questionnaire were analyzed using descriptive statistics. The results of the study are that Organization is a factor that must be corrected immediately because it has a bad rating of 10%, good enough 70% and very good at 20%. Technological factors considere to be good at 85% and very good at 15%.Human factors achieve abad rating at 5% while 30% are in a good rating, and 65% are in very good rating.Net benefitsstate to be in a beneficial condition to the point of being very useful, which ranges from 20-80%. This can be said that the benefits of SIMRS are at good level perceived by the user.

The time for providing outpatient medical record documents based on Permenkes No.129, 2008 is 10 minutes starting from the patient registering until the patient's medical record document is provided at the polyclinic. In a preliminary study conducted on 10 medical record documents, there were 7 (70%) whose time of provision of medical record documents was not following minimum service standards. If the time of provision of medical record documents is not improved, it will have an impact on the quality of service and patient satisfaction. The type of research used is descriptive quantitative research with a cross-sectional approach. The population is the number of outpatient visits totaling 85,727 from 13 existing polyclinics. Determination of the sample size using the Slovin formula obtained 100 medical record documents. Determination of samples from 13 polyclinics proportionally. Methods of data collection by observation and interviews. The results of the study showed that the average time for providing medical record documents was 19.94 minutes, not following the established minimum service standards and standard operating procedures. Factors affecting the delay in providing outpatient medical record documents from the 5M models were found to be 2M that had an effect, namely human factors and methods. Human resources in the filling department are only 4 officers (57.14%) of 7 officers who have a diploma education background of three medical records and only 2 officers (28.57%) who have received training in filling management. The method factor, standard operating procedures does not regulate and emphasizes ways, methods, or tools in providing medical record documents at the polyclinic on time according to minimum service standards. The implementation of the standard operating procedures has not yet been evaluated.Keywords: medical records, time providing, 5M AbstrakWaktu penyediaan dokumen rekam medis (DRM) pasien rawat jalan berdasarkan Permenkes No.129, 2008 adalah ≤10 menit dimulai dari pasien mendaftar sampai DRM pasien disediakan di poliklinik. Studi pendahuluan yang dilakukan dari 10 DRM terdapat 7 (70%) yang waktu penyediaan DRM tidak sesuai standar pelayanan minimum (SPM). Jika waktu penyediaan DRM sesuai data tersebut tidak dilakukan perbaikan, akan berdampak pada mutu pelayanan dan kepuasan pasien. Jenis penelitian yang digunakan adalah penelitian deskriptif kuantitatif dengan pendekatan cross sectional. Populasi adalah jumlah DRM kunjungan pasien rawat jalan berjumlah 85.727 dari 13 poliklinik yang ada. Penentuan besar sampel menggunakan rumus Slovin, didapatkan 100 DRM. Penentuan sampel dari 13 poliklinik secara proporsional. Metode pengumpulan data dengan observasi dan wawancara. Hasil penelitian rata-rata waktu penyediaan DRM adalah 19,94 menit, belum sesuai dengan SPM RS dan standar prosedur operasional (SPO) yang sudah ditetapkan. Faktor-faktor yang mempengaruhi keterlambatan penyediaan DRM rawat jalan dari 5M model ditemukan 2 M yang berpengaruh, yaitu faktor manusia dan metode. SDM di bagian filing baru 4 petugas (57,14%) dari 7 petugas yang mempunyai latar belakang pendidikan diploma tiga rekam medis dan hanya 2 petugas (28,57%) yang sudah mendapatkan pelatihan dalam pengelolaan filling. Faktor metode, SPO tidak mengatur dan menekankan cara, metode atau alat dalam menyediakan DRM di poliklinik dengan tepat waktu sesuai SPM. Pelaksanaan SPO juga belum dilakukan evaluasi.Kata Kunci: rekam medis, waktu penyediaan, 5M

A number of applications have been used for managing health data and information and tend to be fragmented between health programs in health offices. In consequence, the analysis and interpretation process becomes difficult since the data is scattered in separate sources. One of the solutions offered as an effort to synchronize and integrate health data in Indonesia is through implementing District Health Information Software (DHIS2). DHIS2 is an application that emphasizes data integration at the health office level. Faculty of Medicine, Public Health and Nursing UGM has been partnered with the Special Region of Yogyakarta Health Office to carry out community service activities in the context of utilizing DHIS2 for health data integration in the province. The implementation of DHIS2 was divided into 4 stages, namely workshop on data availability, socialization, and training of DHIS2; data mapping and customizing DHIS2; implementing health data integration; and dissemination, supervision, and evaluation. Six health offices were the target of community service activities in the province. DHIS2 has facilitated health office staff to analyse and visualize health information that is used for decision making and advocacy. This community service activity supports the government’s efforts to provide one-stop data and contributes to strengthening health information systems both nationally and regionally.