PUSKESMAS M-HEALTH SYSTEM DESIGN FOR PREGNANT WOMEN

• Main Author: Deniwa Zakiyudin, Razi
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/77861
• Institution: Institut Teknologi Bandung

Maternal Mortality Rate (MMR) is one of the serious issues concerning pregnancy. According to data from the United Nations International Children's Emergency Fund (UNICEF), approximately 295,000 maternal deaths occurred worldwide in 2017 (UNICEF, 2019). In Indonesia, the MMR reached 305 per 100,000 live births in 2015. One of the contributing factors to this problem is the manual recording and reporting of maternal cohort data, which makes the data susceptible to issues like incompleteness or loss. To address this problem, the government, through the Ministry of Health, has issued a blueprint titled "Health Digital Transformation Strategy 2024." One of the key aspects discussed in this blueprint is the national integration of health data. To achieve this, interoperability and electronic data recording capabilities are required for each service used in data recording and reporting as well as standardization of data exchanged using the Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard. Based on this, an m-health system is developed to facilitate electronic data recording and reporting at Puskesmas (community health centers) while possessing interoperability capabilities. The m-health system consists of an Android-based application and a PHP-based database management system (MySQL). This system will utilize Representational State Transfer Application Programming Interface (REST) API for interoperability, using PHP as the programming language. The application will undergo testing using the black box method, which involves functional testing of the application. For testing the Application Programming Interface (API), the API testing will be conducted using Postman, a service for testing APIs that accepts input in the form of URLs with PHP endpoint codes. The testing results show that the application can perform electronic data recording with a success rate of 38 out of 39 test skenarios, resulting in a percentage of 97.44%. Moreover, the application demonstrates interoperability capabilities for data retrieval, deletion, and transmission, achieving a 100% success rate for each utilized endpoint. Overall, the m-health system shows promising results in addressing maternal mortality by enhancing data recording and reporting through electronic means and ensuring interoperability for effective data management and sharing.