The IMS Institute for Healthcare Informatics has announced the launch of a new branch focused on supporting improved health outcomes across Asia. Based in Singapore, the team will forge relationships in the public and private sectors and apply analytics-driven approaches, based on Real-World Evidence, for disease modelling and insights—providing regional markets with much-needed tools to make better and more cost-effective healthcare policy decisions.
In Asia, IMS Institute activities will focus on three areas - mobilizing and advancing health services and systems research; developing new insights on disease burden in Asia; and advancing decision analytics in clinical practice and public policymaking.
The IMS Institute hosted a signing ceremony and symposium in Singapore, featuring discussions on value-based healthcare trends and the role of health informatics, universal health coverage and financing models, and decision analytics modelling for health systems research.
The IMS Institute in Asia is collaborating with universities, research institutions, economic development agencies and governments—including Duke-NUS Medical School, National Cancer Centre Singapore, National University Hospital and InvitroCue Limited. Working with the public and private sectors and with the support of IMS Health, the IMS Institute Asia branch will conduct health services and systems research, decision analytical modelling, and studies to advance patient-centric care and value-based healthcare.
As part of the launch, the IMS Institute in Asia released its first report, 'Advancing Value-Based Healthcare in Asia: Using Decision Modeling to Inform Clinical and Public Policy Decision Making.' Now available at the IMS Institute website, the study explores potential healthcare system benefits derived from an analytics-driven approach for addressing the growing pressures of rising healthcare costs and uneven quality across the region. Using management of diabetes and stroke as examples, it highlights health informatics and decision modelling as key tools for simulating and comparing potential healthcare strategies before establishing policies or committing resources.
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