Academic Seminar: Health Data Sharing to Personal Health AI

Academic Seminar: Health Data Sharing to Personal Health AI

At Thailand Research Expo 2024

📍 August 30, 2024 | 1:00 PM – 3:00 PMLotus Room 5–6, 22nd Floor, Centara Grand and Bangkok Convention Centre, CentralWorld, Bangkok

An academic seminar titled "Health Data Sharing to Personal Health AI" was held as part of the Thailand Research Expo 2024, aiming to serve as a platform for knowledge exchange on the integration of health data with artificial intelligence (AI) to advance personalized healthcare systems. The event brought together distinguished professionals from the fields of medicine, public health, and digital technology to share practical insights and policy recommendations.

The seminar was honored by:

Prof. Dr. Sompong KlainongsuangDirector, Program Management Unit for Competitiveness Enhancement (PMU-C)who delivered the opening remarks.

The panel featured three prominent guest speakers:

• Dr. Lalitaya KongkhamDeputy Secretary-General, National Health Security Office (NHSO)Presented on the national-scale use of health data for preventive care and secure health information disclosure frameworks.

• Dr. Wisit TaweesinprangseeponCEO, SKAI MED (Thailand)Shared insights on implementing AI and machine learning with hospital and clinical datasets to support diagnostics and patient management.

• Dr. Suraphan MeknawinChairman of the Subcommittee on Strategic Oversight and Digital Economy Promotion, Digital Economy Promotion Agency (DEPA)Presented his vision on building a national AI ecosystem for public health and the importance of digital infrastructure in facilitating innovation.

  
  

This seminar marked a significant step toward cross-sector collaboration—between policymakers, technology developers, and healthcare providers—aiming to maximize the real-world application of health data through “Personal Health AI.” The shared knowledge emphasized the potential of AI in enhancing prevention, diagnosis, treatment, and long-term care with accuracy and personalization.งการป้องกัน การวินิจฉัย การรักษา และการติดตามสุขภาพอย่างต่อเนื่องและแม่นยำ

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