id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-013099-j816c3tw	Blease, Charlotte	US primary care in 2029: A Delphi survey on the impact of machine learning	2020-10-08		.txt	text/plain	5698	303	54	To address this research gap, we designed a Delphi survey to explore leading health informaticians' predictions about the impact of machine learning on primary care in the US in 2029. Acknowledging that heterogeneous panels have been shown to result in more accurate estimates [33] , and that what counts as an expert can be influenced by goals, values, and the manner in which knowledge is generated, we aimed to recruit diverse participants from across academia, healthcare, non-profit organizations, and industry; and to strive for panelists with a varied complementarity of interests within health informatics. In the first round, the Delphi survey requested demographic information; this was followed by 5 sections, with 7 open-ended questions, on the impact of machine learning on primary care by 2029 (see S1 Appendix; Table 1 We also included a final comment-box for feedback on the survey.	./cache/cord-013099-j816c3tw.txt	./txt/cord-013099-j816c3tw.txt