Penerapan Sistem Data Cleansing untuk Mencegah dan Menghilangkan Duplikasi Rekam Medis

Nur Rokhman(1*), Annisa Maulida Ningtyas(2), Marko Ferdian Salim(3), Dian Budi Santoso(4)

(1) Departemen Layanan dan Informasi Kesehatan, Sekolah Vokasi, Universitas Gadjah Mada
(2) Departemen Layanan dan Informasi Kesehatan, Sekolah Vokasi, Universitas Gadjah Mada
(3) Departemen Layanan dan Informasi Kesehatan, Sekolah Vokasi, Universitas Gadjah Mada
(4) Departemen Layanan dan Informasi Kesehatan, Sekolah Vokasi, Universitas Gadjah Mada
(*) Corresponding Author


Health Information System is a system that integrates the collection, processing, reporting of data, and use of information needed to increase the effectiveness and efficiency of health services through better management at all levels of health services. Kulon Progo Health Office is one of the Health Services that has utilized the Health Information System in organizing its health transactions. However, the implementation of the Health Information System still has shortcomings, namely that it was found that a patient has many medical record numbers or often referred to as duplicated medical record data. Community service activities are carried out through the use of appropriate technology at the Kulon Progo Health Office. This activity aims to implement data cleansing techniques using the "RESIK" framework  to help prevent and detect duplication of medical records and provide training to medical recorders in cleaning data. The training was attended by 105 participants, each of whom was a representative of the Puskesmas staff in the Kulon Progo Health Office area. The “RESIK” framework  was then piloted at Puskesmas Sentolo 2 as the location for the implementation of the system. From this activity, duplicate medical record data can be found at Puskesmas Sentolo 2, and then cleaning is carried out. Kulon Progo Health Office is advised to implement data cleansing using the "RESIK" framework  at all Puskesmas in the Kulon Progo area.


Data Cleansing; Duplication; Medical Records; Health Information Systems


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