Wednesday, 09 October 2024


Indonesia cements ties with Google Cloud to advance Generative AI Healthcare Innovations

08 May 2024 | News

Paves the foundation for the safe and secure growth of next-gen AI solutions in Indonesia’s healthcare sector while upholding patient data security

Photo Credit: Freepik

Photo Credit: Freepik

The Ministry of Health of the Republic of Indonesia (Kementerian Kesehatan) has expanded collaboration with Google Cloud to support the development of healthcare-specific Generative AI (gen AI) Innovations in the country. The partnership aligns with the goals set out in the Indonesian government’s blueprint for digital health transformation and Digital Indonesia Vision 2045 initiative.

The collaboration is part of Kementerian Kesehatan’s objective to improve healthcare access, experiences, and outcomes for every individual in Indonesia, and complements ongoing efforts with Google Cloud to enhance processes in Indonesia’s healthcare sector. 

Since 2022, Google Cloud has established a safe and secure environment with Indonasia to test its enterprise-grade and medically-tuned gen AI innovations, enabling them to be tailored to address the unique healthcare needs of Indonesians.

Setiaji, Chief of Digital Transformation Office (DTO), Kementerian Kesehatan, said: “we’re committed to making healthcare information accessible for every individual, simplifying systems for health professionals so they can focus on patient care, and strengthening the healthcare ecosystem through responsible innovation. As we look to advance AI adoption, a balance between innovation and ethical considerations is crucial for success.”

Fanly Tanto, Country Director, Indonesia, Google Cloud said “Our collaboration with Kementerian Kesehatan is significant as it lays the foundation for the safe and secure growth of next-gen AI solutions in Indonesia’s healthcare sector, paving the way for on-demand access to health information and more informed diagnosis or treatment plans while maintaining the privacy and security of patient data.” 

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