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CC BY 4.0 · Yearb Med Inform 2024; 33(01): 045-051
DOI: 10.1055/s-0044-1800717
Special Section: Digital Health for Precision in Prevention
Working Group Contributions

Precision and Virtual Care

Elizabeth M. Borycki
1   School of Health Information Science, University of Victoria, Victoria, Canada
,
Femke van Sinderen
2   Amsterdam University Medical Centers, Amsterdam, Netherlands
,
Linda Dusseljee Peute
2   Amsterdam University Medical Centers, Amsterdam, Netherlands
,
Sasha Zinovich
1   School of Health Information Science, University of Victoria, Victoria, Canada
,
David Kaufman
3   SUNY Downstate, Health Sciences University, New York, United States of America
,
Vivian Vimarlund
4   Department of Computer and Information Science (IDA), School of Engineering and Technology, Linköping University, Sweden
,
Andre W. Kushniruk
1   School of Health Information Science, University of Victoria, Victoria, Canada
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Summary

The importance of virtual care has been highlighted by the recent pandemic which emphasized the need for effectively providing care remotely. In addition, the development of a range of emerging technologies to support virtual care has accelerated this trend. Technologies may vary in complexity from low (e.g., technologies that can be used easily by patients) to high (e.g., use of sophisticated software and hardware to support virtual care). In this article virtual care is first defined, followed by a discussion of a range of virtual care technologies. A framework is then described that can be used to consider and reason about virtual care in terms of both technology complexity as well as patient complexity. Examples of virtual care that can be considered using the framework are provided. It is argued that achieving an appropriate fit between the level of complexity of the technology involved and patient context will lead to improved care and ultimately precision virtual care. Implications of the approach presented are explored.



Publikationsverlauf

Artikel online veröffentlicht:
08. April 2025

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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