For more information about the AI for Social Good Summit, please visit here.

To know more about the project, view the webpage.

Find out more about the paper and its related projects at https://www.apru.org/our-work/pacific-rim-challenges/digital-economy/.

AI for Everyone is also available for purchase as a paperback edition at cost price here.

Please see a project overview and policy statement here.
Find out more details about the project here.

Find out more information about the project here.

AI for Everyone is also available for purchase as a paperback edition at cost price here.

Author:
Jasper Tromp, National University of Singapore

Introduction:
Thailand’s digital health landscape is evolving with efforts to embrace technology and leverage its potential benefits. The country has been making strides in digital health readiness, as reflected in its ranking of 59th globally in the Government AI Readiness Index 2021 and 9th in East Asia. However, several barriers and challenges exist in the digital health space.

One of the primary challenges is the fragmented nature of healthcare service provision, affecting differences in data architecture, standards, and collection. Manual data management and the persistence of paper-based electronic health record systems also limit efficient data sharing and interoperability. Limited resources pose a significant barrier, with uneven human, technical, and financial resource distribution across healthcare institutions. High hardware and software acquisition, installation, and maintenance costs further impede engagement in quality data collection and sharing, particularly for smaller clinics and hospitals. Thailand faces a lack of understanding of the value of data and the importance of data security and privacy. Health literacy issues and confusion around data-sharing parameters also contribute to the challenges. Additionally, the absence of precise data-sharing regulations and guidelines at the political and policy levels creates uncertainty and hampers progress.

While Thailand has made progress in its digital health landscape, addressing barriers related to data integration, standardization, resource allocation, and regulations is crucial to unlocking digital health initiatives’ full potential and achieving improved healthcare outcomes.

Read this article for more information about the AI for Social Good project and the research in Thailand.

For more information about the project, please visit the webpage, AI for Social Good.

View the report in sections:

• Contents and forewords
• Introduction
• Philosophical point of view for social implementation (chapter 1-3)
• Institutional and technological design development through use of case based discussion (chapter 4-6)
• How to expand the capacity of AI to build better society (chapter 7 & 8)
• Bios of authors and acknowledgement

For more information about the Transformation of Work in the 21st Century in Asia Pacific Project, please visit https://apru.org/our-work/pacific-rim-challenges/digital-economy/transformation-of-work/.

Authors:
Olivia Jensen, National University of Singapore
Nathaniel Tan, National University of Singapore
Cornelius Kalenzi, KAIST

Introduction:
Maternal health metrics in Bangladesh improved greatly from the 1990s but the rate of progress has stalled in more recent years and further efforts are now needed to support the health of expecting and new mothers. Artificial Intelligence (AI) has the potential to transform some aspects of healthcare, opening the way for personalised medicine and treatment plans, accelerating diagnosis, drug discovery and development and raising the efficiency of service delivery to reduce costs and maximize the use of available resources. The applications of AI in relation to maternal health are just beginning to be explored but may hold potential to improve health outcomes for this high priority population group. This study provides a high-level assessment of the potential of AI applications to contribute to meeting maternal health objectives in Bangladesh, taking into account the country’s digital technology readiness, the acceptability of AI technologies to user groups and the organizational structure of antenatal care (ANC) services in Bangladesh.

Read this article for more information about the AI for Social Good project and the research in Bangladesh.

For more information about the AI for Social Good Summit, please visit here.

To know more about the project, view the webpage.