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Pengembangan Database Riset BPJS Kesehatan

Authors: Sanjaya, Guardian Yoki; Fuad, Anis; Lazuardi, Lutfan; Ramdhani, Furqonudin; Baros, Wan Aisyah; Dhanalvin, Erzan;

Pengembangan Database Riset BPJS Kesehatan

Abstract

Latar Belakang: BPJS Kesehatan dalam pencapaian Universal Health Coverage pada tahun 2019 akan memiliki salah satu basis data pelayanan kesehatan terbesar di dunia. Seiring dengan meningkatnya volume data yang tersimpan, semakin cepatnya proses mengumpulkan dan menghasilkan data, keragaman datanya serta kebutuhan terhadap kualitas data yang mencerminkan fakta, maka menjadi penting bagi BPJS Kesehatan untuk mengkaji kondisi manajemen data saat ini serta penyiapan database riset sebagai salah satu output.Metode Penelitian: Pendekatan kulitatif dilakukan untuk mengembangkan database riset BPJS Kesehatan. Literatur review, diskusi kelompok terarah dan identifikasi data di BPJS Kesehatan dilakukan untuk menggali konsep database riset untuk jaminan kesehatan nasional.Hasil: Database riset BPJS Kesehatan termasuk dalam konsep big data analytics karena volume, jumlah dan frekuensi yang tinggi serta tipe datanya yang beragam. Terdapat 5 dataset yang disepakati untuk dijadikan database riset BPJS Kesehatan. Jumlah peserta BPJS yang terus bertambah menuntut perlunya tatakelola data yang baik untuk memastikan representatif database riset terhadap pertumbuhan tersebut.Kesimpulan: Terdapat 3 aspek penting yang perlu dipertimbangkan dalam pengembangan database riset BPJS Kesehatan, yaitu konsep big data analytics, representasi database riset yang diambil dari transaksi data di BPJS Kesehatan dan manajemen data yang baik.

Keywords

BPJS Kesehatan, Database Riset, Dataset kohort, big data analytics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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