Sweet talking: Voice technology and virtual assistants in clinical diabetes management

Samuel Tan; Farhad Fatehi

doi:10.3233/SHTI190648

Sweet talking: Voice technology and virtual assistants in clinical diabetes management

Samuel Tan, Farhad Fatehi

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

4 Citations (Scopus)

Abstract

Voice technology offers a range of novel and promising strategies for clinical diabetes management. Incorporation of voice-powered virtual assistants (such as Apple Siri and Microsoft Cortana) into diabetes care programs has the potential to improve patient awareness and adherence; facilitate comprehensive provider-patient integration and data collection; and expedite consultations, procedures, and meal preparations. This study will present a qualitative literature review on existing and speculative applications of voice technology in diabetes care.

Original language	English
Title of host publication	MEDINFO 2019
Subtitle of host publication	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Publisher	IOS Press
Pages	1787-1788
Number of pages	2
ISBN (Electronic)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190648
Publication status	Published - 21 Aug 2019
Externally published	Yes
Event	World Congress on Medical and Health Informatics 2019 - Lyon, France Duration: 25 Aug 2019 → 30 Aug 2019 Conference number: 17th https://ebooks.iospress.nl/volume/medinfo-2019-health-and-wellbeing-e-networks-for-all-proceedings-of-the-17th-world-congress-on-medical-and-health-informatics

Publication series

Name	Studies in Health Technology and Informatics
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	World Congress on Medical and Health Informatics 2019
Abbreviated title	MEDINFO 2019
Country/Territory	France
City	Lyon
Period	25/08/19 → 30/08/19
Internet address	https://ebooks.iospress.nl/volume/medinfo-2019-health-and-wellbeing-e-networks-for-all-proceedings-of-the-17th-world-congress-on-medical-and-health-informatics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Diabetes Mellitus
Mobile Applications
Speech Recognition Software

Access to Document

10.3233/SHTI190648

315297199-oaFinal published version, 107 KB

Cite this

Tan, S., & Fatehi, F. (2019). Sweet talking: Voice technology and virtual assistants in clinical diabetes management. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1787-1788). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190648

Tan, Samuel ; Fatehi, Farhad. / Sweet talking : Voice technology and virtual assistants in clinical diabetes management. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1787-1788 (Studies in Health Technology and Informatics).

@inproceedings{93b3df9752fd4969a48bb3ebc3cef8b0,

title = "Sweet talking: Voice technology and virtual assistants in clinical diabetes management",

abstract = "Voice technology offers a range of novel and promising strategies for clinical diabetes management. Incorporation of voice-powered virtual assistants (such as Apple Siri and Microsoft Cortana) into diabetes care programs has the potential to improve patient awareness and adherence; facilitate comprehensive provider-patient integration and data collection; and expedite consultations, procedures, and meal preparations. This study will present a qualitative literature review on existing and speculative applications of voice technology in diabetes care.",

keywords = "Diabetes Mellitus, Mobile Applications, Speech Recognition Software",

author = "Samuel Tan and Farhad Fatehi",

year = "2019",

month = aug,

day = "21",

doi = "10.3233/SHTI190648",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

pages = "1787--1788",

editor = "Brigitte Seroussi and Lucila Ohno-Machado and Lucila Ohno-Machado and Brigitte Seroussi",

booktitle = "MEDINFO 2019",

address = "Netherlands",

note = "World Congress on Medical and Health Informatics 2019, MEDINFO 2019 ; Conference date: 25-08-2019 Through 30-08-2019",

url = "https://ebooks.iospress.nl/volume/medinfo-2019-health-and-wellbeing-e-networks-for-all-proceedings-of-the-17th-world-congress-on-medical-and-health-informatics",

}

Tan, S & Fatehi, F 2019, Sweet talking: Voice technology and virtual assistants in clinical diabetes management. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1787-1788, World Congress on Medical and Health Informatics 2019, Lyon, France, 25/08/19. https://doi.org/10.3233/SHTI190648

Sweet talking: Voice technology and virtual assistants in clinical diabetes management. / Tan, Samuel; Fatehi, Farhad.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1787-1788 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

TY - GEN

T1 - Sweet talking

T2 - World Congress on Medical and Health Informatics 2019

AU - Tan, Samuel

AU - Fatehi, Farhad

N1 - Conference code: 17th

PY - 2019/8/21

Y1 - 2019/8/21

N2 - Voice technology offers a range of novel and promising strategies for clinical diabetes management. Incorporation of voice-powered virtual assistants (such as Apple Siri and Microsoft Cortana) into diabetes care programs has the potential to improve patient awareness and adherence; facilitate comprehensive provider-patient integration and data collection; and expedite consultations, procedures, and meal preparations. This study will present a qualitative literature review on existing and speculative applications of voice technology in diabetes care.

AB - Voice technology offers a range of novel and promising strategies for clinical diabetes management. Incorporation of voice-powered virtual assistants (such as Apple Siri and Microsoft Cortana) into diabetes care programs has the potential to improve patient awareness and adherence; facilitate comprehensive provider-patient integration and data collection; and expedite consultations, procedures, and meal preparations. This study will present a qualitative literature review on existing and speculative applications of voice technology in diabetes care.

KW - Diabetes Mellitus

KW - Mobile Applications

KW - Speech Recognition Software

UR - https://www.scopus.com/pages/publications/85071453516

U2 - 10.3233/SHTI190648

DO - 10.3233/SHTI190648

M3 - Conference Paper

C2 - 31438344

AN - SCOPUS:85071453516

T3 - Studies in Health Technology and Informatics

SP - 1787

EP - 1788

BT - MEDINFO 2019

A2 - Seroussi, Brigitte

A2 - Ohno-Machado, Lucila

A2 - Seroussi, Brigitte

PB - IOS Press

Y2 - 25 August 2019 through 30 August 2019

ER -

Tan S, Fatehi F. Sweet talking: Voice technology and virtual assistants in clinical diabetes management. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1787-1788. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI190648

Sweet talking: Voice technology and virtual assistants in clinical diabetes management

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Cite this