A Stanford-based group of authors explored barriers to implementation, evidence of impact and potential use of artificial intelligence and non-AI tools to support pre-visit planning. Based on previous research, AI and non-AI tools may improve the effectiveness, efficiency and experience of care. The team used an environmental scanning approach involving a literature review; key informant interviews with pre-visit planning experts in ambulatory care; and a public domain search for technology-enabled and AI solutions that support pre-visit planning. They synthesized findings using a qualitative matrix analysis. The authors found 26 unique pre-visit planning implementations in the literature and conducted 16 key informant interviews. Key informants reported that many pre-visit planning barriers are human effort-related and see the potential for non-AI and AI technologies to support certain aspects of pre-visit planning. They also identified eight examples of commercially-available technology-enabled tools supporting pre-visit planning, some with AI capabilities. However, few of these technologies have been independently evaluated. The study concluded that pre-visit planning activities, driven by humans and modifiable by technology, may become more important and powerful, and should be rigorously evaluated.
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Technology-Enabled and Artificial Intelligence Support for Pre-Visit Planning in Ambulatory Care: Findings From an Environmental Scan
Laura M. Holdsworth, PhD, et al
Stanford School of Medicine, Division of Primary Care and Population Health, Stanford, California
https://www.annfammed.org/content/19/5/419
Journal
The Annals of Family Medicine