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US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning
[article]
2020
medRxiv
pre-print
Objective: To solicit leading health informaticians predictions about the impact of AI/ML on primary care in the US in 2029. Design: A three-round online modified Delphi poll. Participants: Twenty-nine leading health informaticians. Methods: In September 2019, health informatics experts were selected by the research team, and invited to participate the Delphi poll. Participation in each round was anonymous, and panelists were given between 4-8 weeks to respond to each round. In Round 1
doi:10.1101/2020.05.08.20095224
fatcat:cifwqwkzxbctlinqkwlt5fvbzi