Adoption of AI in medicine and healthcare


What COVID-19 has taught us about the adoption of AI in medicine and healthcare

COVID-19 has accelerated the adoption and scaling of AI. AI is becoming a vital necessity for medicine and healthcare, but much remains to be done to make it more effective, particularly regarding access to data and data sharing by companies and patients.

Effective AI needs high quality input data, but much data is typically siloed across an ecosystem of players, and there is widespread resistance to sharing it with others. More data is available than we might think, but much of it can be described as a swamp of disorganised information. The aim should be to create a data platform, integrating the right data to solve the right problem. In the context of COVID-19 for example, the impact needs to be measured across multiple dimensions: not just health but also in terms of the social and economic impact, such as insights into the effect of government restrictions on infection levels.

There is also a general fear among individuals about sharing personal data, with concerns about security and privacy, and a lack of trust.  Patients are unwilling to consent to sharing when they do not understand the purpose. A recent study conducted by Deloitte found that if physicians explain the reasons in detail and in an understandable fashion, the rate of consent increases from 30% to 90%.

Research also continues into the relationship between mobility (and social distancing) and the spread of infection and outbreak of disease. Vast amounts of data can be extracted from social media platforms and telecommunication operators, but efficacy and adoption depends on the quality of the data, in a usable form and available in real time. 

Join our panel of AI experts and thought leaders, as they discuss what Covid-19 has taught us about issues around accelerating the adoption of AI in healthcare and medicine during the Intelligent Health Summit 2020.

The panel session reveals the global scale of research efforts, and how COVID-19 has accelerated the progress that has been made with AI in health care.

The panelists Dr. Satchit Balsari, Harvard Medical School (Beth Israel Deaconess Medical Center); Huguette Diakabana, African Alliance of Digital Health Networks; Antonio Russo, Deloitte Switzerland and Laura McGorman, Facebook discuss their views. The panel is moderated by Ann Aerts, Novartis Foundation.

Watch the panel discussion

Combating COVID-19 with resilience

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