The previous blog concluded by urging digital health planners as well as advisers to learn more about managing the national digital health policy forest with their peers, and referencing the www.digitalhealthpolicycourse.com as one way to do this face to face. In this blog, the focus is on using the linked version of the ‘Guidance for…
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Investing in digital health brings together a wide range of issues, complexities, assumptions, and estimates. Modeling these at early decision stages is essential to test, understand and manage digital health. The Digital Health Investment Framework (DHIF) User Manual, an Asian Development Bank initiative provides a methodology. Using it needs eHealth modelers to develop their skills in…
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Digital health investment decisions need many variables for decision takers to assess and manage. For example, the relationship between socio-economic impacts, especially benefits for all stakeholder types, and affordability can be taken. For the Asian Development Bank’s (ADB) Developing Member Countries (DMC), affordability is crucial. Digital health that does not deliver its planned benefits carries…
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In digital health forests, there are many different types of tree. There are governance trees, blockchain trees, malaria trees, informatics trees, capacity building trees etc. All these different types of trees are needed. And there is a plethora of guidance and best practices on how to manage them. But what about the Forest as a…
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With assistance from the Asia eHealth Information Network (AeHIN) and support from the Asian Development Bank (ADB) and CC and C Solutions, facilitators crafted a set of methodologies to commence the governance and architecture work needed to guide eHealth projects at national scale. In this connection, nine countries gathered at the Holiday Inn Singapore last…
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