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Development of reference case for economic evaluation on clinical artificial intelligence for health insurance reimbursement in Thailand

The development of artificial intelligence (AI) in healthcare is advancing rapidly and playing an important role in healthcare worldwide. However, real-world implementation remains challenging in terms of economic value, patient data security, and acceptance by health professionals. Hence, this study was conducted with three main components: (1) a

Grey Zone Communication: Communication of Safe Abortion Services in Thailand

The objectives of this research were to study the current communication approach for safe abortion services of the Unplanned Pregnancy Hotline (1663). The study employed qualitative research methods, specifically in-depth and group interviews, to gather comprehensive insights into the public relatio

Apiwat Piriyapol

Apiwat Piriyapol is a research associate at Medical Innovation Development and Assessment Support (MIDAS). His training was in labour economics with experience in urban health economics. His current interest is in conducting medical technology assessment to promote advanced technology to the healthcare system.

Navigating the Landscape of Digital Health: South Korea

Executive Summary Digital health in Korea encompasses a wide range of technologies and services yet lacks a clear legal definition. The Korea Institute for Industrial Economics & Trade (KIET) classifies digital health into hardware, software, and service categories, reflecting the diverse lan

Navigating the Landscape of Digital Health: Australia

Executive Summary Australia has a history of innovation, which is reflected in the breadth of health technologies that are increasingly available in the country’s digital health landscape. This breadth of digital health technologies can be categorised across four domains: Software as a Medical De

Situational Analysis of Artificial Intelligence (AI) in Thailand’s Health System

Integrating Artificial Intelligence (AI) into the health system has the potential to enhance efficiency, accessibility, and overall quality of medical services worldwide. In response to global advancements, Thailand proactively developed the National AI Strategy and Action Plan 2022–2027, which emphasises AI adoption in health as a national prior

Designing a decision frame for making health resource allocation decisions: a case study in Thailand

The abundance of various innovations in healthcare (pharmaceuticals, medical devices, interventions, individual and community health promotion and disease prevention as well as a social health policy) have been continuously used in the healthcare system, resulting in a higher demand for resources and budgets in disease prevention and healthcare. Th
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