Found "Digital Medicine": 214 results
Can AI Really Help Us Prevent Diabetes and Hypertension in Thailand?
Non-communicable diseases (NCDs) are often called “silent killers”, but there is nothing silent about their impact. They remain one of the hardest public health battles to win. According to the World Health Organisation (WHO), they cause 43 million deaths worldwide and account for 75% of non-pandemi
From Potential to Practice: AI for Diabetes and Hypertension Prevention in Thailand
Background & RationaleNon-communicable diseases (NCDs) are the leading cause of death worldwide, responsible for 43 million deaths annually and accounting for 75% of all non-pandemic-related mortality globally [1]. Cardiovascular disease, diabetes, cancer, and chronic respiratory conditions drive this burden, yet most health systems remain orie
Harnessing health economic evaluation for policy and practice
Abstract
Health economic evaluation is essential for evidence-informed health policy, supporting prioritization of high-value care and optimal resource use. This Perspective synthesizes experiences from the HTAsiaLink network and global literature to demonstrate its role across the technology lif
Thunyarata Anothaisintawee
Thunyarat Anothaisintawee has been graduated from Chulalongkorn University and was an internist at Lampoon Hospital. She has received certificate of Family Medicine from Pramongkutkloa Hospital. After that she has been worked as a faculty staff at Family Medicine Department, Ramathibodi Hospital, Mahidol University. Now, she is studying PhD program
Budsadee Soboon
Budsadee Soboon position research assistant. She graduated a bachelor’s degree in clinical pharmacy from Srinakharinwirot University, with passion to search for information, analyze the data and are interested in assessing the cost-effectiveness of medicine selection for patients. She hopes to apply her knowledge and over 12 years of experience in
Technical Report: Exploring Digital Health and Telemedicine Practices: A Study Visit to Singapore
Thailand is in the process of adopting technologies appropriate for its context to provide telemedicine on a national scale. However, there are some gaps that make achieving universal telemedicine in Thailand challenging on certain areas. Technological factors and the lack of a uniform information s
Developing an Evidence Guide to Strengthen Public Investment Decisions for Digital Health Technologies in Low- and Middle-Income Countries
Digital health technologies (e.g., wearables, electronic health records, and artificial intelligence tools) are increasingly recognized for their potential to enhance care quality, efficiency, and reach of healthcare services while potentially reducing costs [1]. Landscape reviews have shown increasing investments by governments and other stakehold
Situational Analysis of infectious disease modelling (ID) in Thailand
ID modelling is a mathematical description of the spread of infection (1). Infectious disease (ID) in this study refers to common infectious diseases (whether in humans or animals), including COVID-19. ID models help provide the understanding of the disease natural history, as well as the impact of interventions (e.g., vaccination, social distancin
Post-COVID Health System Strengthening
This project aims to strengthened Thai health system post COVID times and has been started since 1 April 2022 until the end of March 2023. There are five sub-projects under the grant consisting of environmental health, local governance, health financing, and digital technology.post COVID
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