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. Author manuscript; available in PMC: 2023 Mar 1.
Published in final edited form as: Int J Med Inform. 2021 Nov 11;159:104643. doi: 10.1016/j.ijmedinf.2021.104643

SUMMARY TABLE

What is already known on this topic? What did this study add to our knowledge?
1. Artificial intelligence and predictive analytic methods are being used widely in health care. 1. Health care professionals are more than willing to collaborate with researchers who design the technologies that these professionals will likely be asked to use in the future.
2. Artificial intelligence outputs are often not interpretable. 2. Health care professionals are most familiar with clinical workflow practices, and if not investigated by researchers will lead to poor uptake.
3. Health care professionals are not involved early and frequently enough to influence the scope and purpose of front-facing graphical user interfaces that stand in between artificial intelligence outputs and the end-user (nurses and physicians). 3. Clinical workflow is dynamic and fluid, only those who work in these complex environments can provide the contributions needed to incorporate into innovative technology designs. Without expert clinician input, technologies will not be used as they were intended, if at all.