BPJS Kesehatan

Government, Indonesia. 0 models in the directory.

governmentIndonesia

0models

1deployments

0scores

Identity

Type: government
Country label: Indonesia
HQ country: Indonesia
Founding country: Indonesia
Parent: not in the notes
Parent country: not in the notes
Country basis: the research notes

Where this comes from

Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.

Models

The directory holds no model from this organisation.

Deployments

In-house models: Mobile JKN chatbot NLP and recommender; referral patterns, diabetes and hypertension risk, visit and cost prediction, claim anomaly detectionnational, Indonesiapilot10 Jul 2024

Links

Organisation BPJS Kesehatan

BPJS Kesehatangovernment, Indonesia

Deployment

In-house models: Mobile JKN chatbot NLP and recommender; referral patterns, diabetes and hypertension risk, visit and cost prediction, claim anomaly detectionPilot since 10 Jul 2024.Source: company statement, govinsider.asia

Use CaseHealth Insurance AnalyticsHealthcare

Models for This Use Casenone recordedThe deployment does not name its model.

Graph

Deployments 1

BPJS KesehatanIn-house models: Mobile JKN chatbot NLP and recommender; referral patterns, diabetes and hypertension risk, visit and cost prediction, claim anomaly detection, Indonesia

What It Builds

product Its R&D team built the PIN-F app (2016) to scan hospital claims for fraud, and it now develops AI fraud detection for JKN transactions.

Where this comes from

What this organisation builds or runs in AI by itself, from its own pages, papers or reputable news.

Sources

BPJS Kesehatan to use AI to improve efficiency, healthcare services govinsider.asia https://govinsider.asia/intl-en/article/bpjs-kesehatan-to-use-ai-improve-efficiency-healthcare-services

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "BPJS Kesehatan", https://aurion.semai.id/organisations/bpjs-kesehatan/, records of October 2026.