Build AI capabilities in Indonesian healthcare teams, aligned to the National AI Strategy's health sector priority and Kartu Prakerja training subsidies.
Healthcare is one of five priority sectors in Indonesia's National AI Strategy (Stranas KA 2020-2045), and the KOMDIGI AI Roadmap published in July 2025 further emphasises AI in health services. Indonesian healthcare providers must comply with UU PDP requirements for patient data protection, with penalties of up to IDR 5 billion and 6 years imprisonment for unlawful data collection. Despite 92% of Indonesian knowledge workers already using generative AI, 57% of businesses cite lack of skilled personnel as the top barrier to adoption. The country needs 9 million additional digital talents by 2030 (World Bank), creating urgent demand for structured AI training in healthcare settings.
LOCAL CONTEXT
As Southeast Asia's largest economy, Indonesia represents enormous potential for AI-driven transformation. The Making Indonesia 4.0 programme and Kartu Prakerja digital training subsidies signal strong government commitment to upskilling the workforce for the digital economy.
$5.8 billion AI market by 2030
THE CHALLENGE
“Patient Data Protection Under UU PDP”
“National AI Strategy Healthcare Priority”
“Urban-Rural Digital Divide in Healthcare Delivery”
Our team has trained executives at globally-recognized brands
FUNDING & SUBSIDIES
IDR 4.2 million per participant (course subsidy + IDR 700,000 completion incentive)
Individual team members can apply for training subsidies covering AI skills development
Official Source200% of total vocational training expenses deductible from corporate income tax
Companies can claim double tax deduction for qualifying AI training costs in digital economy and eligible sectors
Official SourceREGULATORY LANDSCAPE
UU PDP applies to all patient data with penalties up to IDR 5 billion and 6 years imprisonment. Healthcare is a Stranas KA priority sector. KOMDIGI's Circular Letter No. 9/2023 establishes ethical AI principles including transparency and human oversight. GR 71/2019's implementing regulation (March 2025) affects health information systems with a March 2026 compliance deadline.
CHALLENGES IN INDONESIA
Healthcare providers face UU PDP penalties up to IDR 5 billion and 6 years imprisonment for unlawful collection of patient data. AI systems processing medical records must maintain full audit trails and consent management under the law.
Healthcare is one of five priority sectors in Stranas KA 2020-2045, yet most healthcare organisations lack structured AI capability building. The gap between national AI ambition and institutional readiness creates risk of falling behind government expectations.
With internet penetration at 80.66% but only 30.51% in rural areas, AI-enabled healthcare solutions must work across connectivity contexts. Training must prepare teams for both high-bandwidth urban clinics and constrained rural health centres.
OUR PROCESS
We catalogue existing workflows, technology assets, and regulatory obligations to identify where AI delivers the safest, highest-value impact.
Clinicians and administrators explore proven AI applications through case studies, live demonstrations, and hands-on simulation exercises.
Participants create data privacy protocols, algorithmic audit procedures, and regulatory submission checklists specific to their jurisdiction.
Teams finalise a phased implementation plan with stakeholder engagement strategies, success metrics, and clinical safety checkpoints.
COMMON QUESTIONS
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WHY PERTAMA PARTNERS
While Algoritma and Indonesia AI offer data science bootcamps, Pertama provides healthcare-specific AI training that addresses clinical workflows, patient data compliance, and the Stranas KA healthcare priority context. We deliver in Bahasa Indonesia with blended learning suited to healthcare professionals' schedules, not multi-week bootcamp formats.
All training materials and facilitation delivered in Bahasa Indonesia. Presidential Regulation No. 63/2019 mandates Bahasa in business agreements, so all contracts and documentation comply. Delivery accommodates Indonesian hierarchical business culture with musyawarah (consensus) decision-making approaches. Blended learning format combining in-person workshops (preferred by 65% of Indonesian companies) with digital delivery for nationwide reach. Training adapted for both urban hospital settings and rural healthcare facilities, accounting for the 80.66% overall vs 30.51% rural internet penetration divide. Clinical terminology in Bahasa Indonesia.
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