Role of Artificial Intelligence within the Telehealth Domain

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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.

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Good intentions are not enough: how informatics interventions can worsen inequality

Tiffany Veinot, Hannah Mitchell, Jessica S Ancker (2018)

Health informatics interventions are designed to help people avoid, recover from, or cope with disease and disability, or to improve the quality and safety of healthcare. Unfortunately, they pose a risk of producing intervention-generated inequalities (IGI) by disproportionately benefiting more advantaged people. In this perspective paper, we discuss characteristics of health-related interventions known to produce IGI, explain why health informatics interventions are particularly vulnerable to this phenomenon, and describe safeguards that can be implemented to improve health equity. We provide examples in which health informatics interventions produced inequality because they were more accessible to, heavily used by, adhered to, or effective for those from socioeconomically advantaged groups. We provide a brief outline of precautions that intervention developers and implementers can take to guard against creating or worsening inequality through health informatics. We conclude by discussing evaluation approaches that will ensure that IGIs are recognized and studied.

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Toward a science of learning systems: a research agenda for the high-functioning Learning Health System

Charles Friedman, Joshua Rubin, Jeffrey Brown … (2014)

Objective The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale—marrying technology, process, and policy—is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges. Materials and methods The National Science Foundation convened an invitational workshop to identify the fundamental scientific and engineering research challenges to achieving a national-scale LHS. The workshop was planned by a 12-member committee and ultimately engaged 45 prominent researchers spanning multiple disciplines over 2 days in Washington, DC on 11–12 April 2013. Results The workshop participants collectively identified 106 research questions organized around four system-level requirements that a high-functioning LHS must satisfy. The workshop participants also identified a new cross-disciplinary integrative science of cyber-social ecosystems that will be required to address these challenges. Conclusions The intellectual merit and potential broad impacts of the innovations that will be driven by investments in an LHS are of great potential significance. The specific research questions that emerged from the workshop, alongside the potential for diverse communities to assemble to address them through a ‘new science of learning systems’, create an important agenda for informatics and related disciplines.

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Which components of heart failure programmes are effective? A systematic review and meta-analysis of the outcomes of structured telephone support or telemonitoring as the primary component of chronic heart failure management in 8323 patients: Abridged Cochrane Review.

Sally C Inglis, John Cleland, Robyn Clark … (2011)

Telemonitoring (TM) and structured telephone support (STS) have the potential to deliver specialized management to more patients with chronic heart failure (CHF), but their efficacy is still to be proven. The aim of this meta-analysis was to review randomized controlled trials (RCTs) of TM or STS for all-cause mortality and all-cause and CHF-related hospitalizations in patients with CHF, as a non-invasive remote model of a specialized disease-management intervention. We searched all relevant electronic databases and search engines, hand-searched bibliographies of relevant studies, systematic reviews, and meeting abstracts. Two reviewers independently extracted all data. Randomized controlled trials comparing TM or STS to usual care in patients with CHF were included. Studies that included intensified management with additional home or clinic-visits were excluded. Primary outcomes (mortality and hospitalizations) were analysed; secondary outcomes (cost, length of stay, and quality of life) were tabulated. Thirty RCTs of STS and TM were identified (25 peer-reviewed publications (n= 8323) and five abstracts (n= 1482)). Of the 25 peer-reviewed studies, 11 evaluated TM (2710 participants), 16 evaluated STS (5613 participants) with two testing both STS and TM in separate intervention arms compared with usual care. Telemonitoring reduced all-cause mortality {risk ratio (RR) 0.66 [95% confidence interval (CI) 0.54-0.81], P< 0.0001 }and STS showed a similar, but non-significant trend [RR 0.88 (95% CI 0.76-1.01), P= 0.08]. Both TM [RR 0.79 (95% CI 0.67-0.94), P= 0.008], and STS [RR 0.77 (95% CI 0.68-0.87), P< 0.0001] reduced CHF-related hospitalizations. Both interventions improved quality of life, reduced costs, and were acceptable to patients. Improvements in prescribing, patient-knowledge and self-care, and functional class were observed. Telemonitoring and STS both appear effective interventions to improve outcomes in patients with CHF. Systematic Review Number: Cochrane Database of Systematic Reviews. 2008:Issue 3. Art. No.: CD007228. DOI: 10.1002/14651858.CD007228.

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Author and article information

Journal

Journal ID (nlm-ta): Yearb Med Inform

Journal ID (iso-abbrev): Yearb Med Inform

Journal ID (doi): 10.1055/s-00034612

Title: Yearbook of Medical Informatics

Publisher: Georg Thieme Verlag KG (Stuttgart )

ISSN (Print): 0943-4747

ISSN (Electronic): 2364-0502

Publication date (Print): August 2019

Publication date (Electronic): 25 April 2019

Volume: 28

Issue: 1

Pages: 35-40

Affiliations

[1 ]Telfer School of Management, University of Ottawa, Ottawa, Canada

[2 ]College of Nursing & Health Sciences, Flinders University, Adelaide, Australia

[3 ]George Institute for Global Health, University of New South Wales, New Delhi, India

[4 ]Society for Administration of Telemedicine and Healthcare Informatics, New Delhi, India

[5 ]University of Canterbury School of Health Sciences, Christchurch, New Zealand

[6 ]All India Institute of Medical Sciences, New Delhi, India

[7 ]IBM Research, Brazil

Author notes

Correspondence to Craig Kuziemsky Telfer School of Management, University of Ottawa Ottawa, ONCanadaTel: +1 613 562 5800 ext 4792 Kuziemsky@ 123456telfer.uottawa.ca

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Publisher ID: kuziemsky

DOI: 10.1055/s-0039-1677897

PMC ID: 6697552

PubMed ID: 31022750

SO-VID: 6931d1c5-5942-460e-8fbd-ae94d2e8f342

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This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.

Role of Artificial Intelligence within the Telehealth Domain : Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group

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Artificial Intelligence in Medicine

Most cited references 23

Good intentions are not enough: how informatics interventions can worsen inequality

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System

Which components of heart failure programmes are effective? A systematic review and meta-analysis of the outcomes of structured telephone support or telemonitoring as the primary component of chronic heart failure management in 8323 patients: Abridged Cochrane Review.

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