CC BY-NC-ND 4.0 · Yearb Med Inform
DOI: 10.1055/s-0039-1677897
Working Group Contribution
IMIA and Georg Thieme Verlag KG

Role of Artificial Intelligence within the Telehealth Domain

Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group
Craig Kuziemsky
1  Telfer School of Management, University of Ottawa, Ottawa, Canada
,
Anthony J. Maeder
2  College of Nursing & Health Sciences, Flinders University, Adelaide, Australia
,
Oommen John
3  George Institute for Global Health, University of New South Wales, New Delhi, India
,
Shashi B. Gogia
4  Society for Administration of Telemedicine and Healthcare Informatics, New Delhi, India
,
Arindam Basu
5  University of Canterbury School of Health Sciences, Christchurch, New Zealand
,
Sushil Meher
6  All India Institute of Medical Sciences, New Delhi, India
,
Marcia Ito
7  IBM Research, Brazil
› Author Affiliations
Further Information

Publication History

Publication Date:
25 April 2019 (eFirst)

  

Summary

Objectives: This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, based on reports of recent advances.

Methods: Examples of telehealth innovations involving Artificial Intelligence to support or supplement remote health care delivery were identified from recent literature by the authors, on the basis of expert knowledge. Observations from the examples were synthesized to yield an overview of contemporary directions for the perceived role of Artificial Intelligence in telehealth.

Results: Two major focus areas for related contemporary directions were established. These were first, quality improvement for existing clinical practice and service delivery, and second, the development and support of new models of care. Case studies from each focus area have been chosen for illustration purposes.

Conclusion: Examples of the role of Artificial Intelligence in delivery of health care remotely include use of tele-assessment, tele-diagnosis, tele-interactions, and tele-monitoring. Further developments of underlying algorithms and validation of methods will be required for wider adoption. Certain key social and ethical considerations also need consideration more generally in the health system, as Artificial-Intelligence-enabled-telehealth becomes more commonplace.