Designing A Prototype Application of Completeness Analysis of Filling Out in Inpatient Electronic Medical Records at Syarif Hidayatullah Hospital
DOI:
https://doi.org/10.33651/jpkik.v12i1.713Keywords:
KLPCM, SDLC, Electronic Medical Records, Designing, PrototypingAbstract
A hospital has an obligation to organize an electronic medical record to support health service efforts as PMK No. 24 in 2022 about Medical Records. The important role of medical records is as to measurement of quality indicators of health service in a hospital. The indicator that would be measured in medical records is the completeness of medical record forms, have fulfilled legal requirements, on time, and the accuracy. Syarif Hidayatullah Hospital have organized medical records for inpatients in 2022 still used manual medical records, because of that, to preparing the electronic medical records for inpatients then it is needed to make an application instrument planning that could analyze the completeness of inpatient medical records as the control of the quality of electronic medical records. The aim of this research is designing an application instrument of the completeness of the electronic inpatient medical records in Syarif Hidayatullah Hospital. The concept of the design was used as a Systems Development Life Cycle (SDLC). The technique of collecting data was done by field observation, study documentation, and interview. The technique of testing and evaluation system used by Focus Group Discussion (FGD). The prototype application design for analyzing the completeness of electronic medical records aligned with the needs analysis and could be used to assess and display the results and percentage of completeness of the electronic medical records. The results of the system evaluation by users were acceptable, approved, and agreed upon, indicating that the application could represent the quality of electronic medical record content and had the potential to be implemented in hospitals. The results of the prototype application for analyzing electronic medical records, based on user evaluations, were appropriate for the data requirements and could generate a report as output that reflects the quality of the electronic medical record content.
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