Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families

Youjia Wang; Khushboo Thaker; Vivian Hui; Peter Brusilovsky; Daqing He; Heidi Donovan; Young Ji Lee

doi:10.3233/SHTI240314

Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families

Youjia Wang
, Khushboo Thaker
, Vivian Hui
, Peter Brusilovsky
, Daqing He
, Heidi Donovan
, Young Ji Lee

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

6 Citations (Scopus)

Abstract

OvCa patients and caregivers perceived challenges in online health information seeking. The HELPeR recommendation system utilized digital twins to create personas reflecting real-world OvCa patients and caregivers. The aim of this study was to describe the creation of digital twins and demonstrate their use cases in the study. Digital twins of OvCa patients and caregivers were created by triangulating multiple sources, including online cancer forums, direct interviews with patients and caregivers, domain expert input, and clinical notes. 10 personas were created for both OvCa patients and caregivers who had a variety of cancer trajectories and information interests. These digital twins present a potential solution for training artificial intelligence models at the initial phase when there is a scarcity of user information.

Original language	English
Title of host publication	Innovation in Applied Nursing Informatics
Editors	Gillian Strudwick, Nicholas R. Hardiker, Glynda Rees, Robyn Cook, Robyn Cook, Young Ji Lee
Publisher	IOS Press BV
Pages	754-756
Number of pages	3
ISBN (Electronic)	9781643685274
DOIs	https://doi.org/10.3233/SHTI240314
Publication status	Published - 24 Jul 2024
Event	16th International Congress on Nursing Informatics, NI 2024 - Manchester, United Kingdom Duration: 28 Jul 2024 → 31 Jul 2024

Publication series

Name	Studies in Health Technology and Informatics
Volume	315
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	16th International Congress on Nursing Informatics, NI 2024
Country/Territory	United Kingdom
City	Manchester
Period	28/07/24 → 31/07/24

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

online health information seeking
Ovarian cancer
recommendation system

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

More information

10.3233/SHTI240314

Cite this

Wang, Y., Thaker, K., Hui, V., Brusilovsky, P., He, D., Donovan, H., & Lee, Y. J. (2024). Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families. In G. Strudwick, N. R. Hardiker, G. Rees, R. Cook, R. Cook, & Y. J. Lee (Eds.), Innovation in Applied Nursing Informatics (pp. 754-756). (Studies in Health Technology and Informatics; Vol. 315). IOS Press BV. https://doi.org/10.3233/SHTI240314

Wang, Youjia ; Thaker, Khushboo ; Hui, Vivian et al. / Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families. Innovation in Applied Nursing Informatics. editor / Gillian Strudwick ; Nicholas R. Hardiker ; Glynda Rees ; Robyn Cook ; Robyn Cook ; Young Ji Lee. IOS Press BV, 2024. pp. 754-756 (Studies in Health Technology and Informatics).

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abstract = "OvCa patients and caregivers perceived challenges in online health information seeking. The HELPeR recommendation system utilized digital twins to create personas reflecting real-world OvCa patients and caregivers. The aim of this study was to describe the creation of digital twins and demonstrate their use cases in the study. Digital twins of OvCa patients and caregivers were created by triangulating multiple sources, including online cancer forums, direct interviews with patients and caregivers, domain expert input, and clinical notes. 10 personas were created for both OvCa patients and caregivers who had a variety of cancer trajectories and information interests. These digital twins present a potential solution for training artificial intelligence models at the initial phase when there is a scarcity of user information.",

keywords = "online health information seeking, Ovarian cancer, recommendation system",

author = "Youjia Wang and Khushboo Thaker and Vivian Hui and Peter Brusilovsky and Daqing He and Heidi Donovan and Lee, \{Young Ji\}",

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doi = "10.3233/SHTI240314",

language = "English",

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Wang, Y, Thaker, K, Hui, V, Brusilovsky, P, He, D, Donovan, H & Lee, YJ 2024, Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families. in G Strudwick, NR Hardiker, G Rees, R Cook, R Cook & YJ Lee (eds), Innovation in Applied Nursing Informatics. Studies in Health Technology and Informatics, vol. 315, IOS Press BV, pp. 754-756, 16th International Congress on Nursing Informatics, NI 2024, Manchester, United Kingdom, 28/07/24. https://doi.org/10.3233/SHTI240314

Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families. / Wang, Youjia; Thaker, Khushboo; Hui, Vivian et al.
Innovation in Applied Nursing Informatics. ed. / Gillian Strudwick; Nicholas R. Hardiker; Glynda Rees; Robyn Cook; Robyn Cook; Young Ji Lee. IOS Press BV, 2024. p. 754-756 (Studies in Health Technology and Informatics; Vol. 315).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - OvCa patients and caregivers perceived challenges in online health information seeking. The HELPeR recommendation system utilized digital twins to create personas reflecting real-world OvCa patients and caregivers. The aim of this study was to describe the creation of digital twins and demonstrate their use cases in the study. Digital twins of OvCa patients and caregivers were created by triangulating multiple sources, including online cancer forums, direct interviews with patients and caregivers, domain expert input, and clinical notes. 10 personas were created for both OvCa patients and caregivers who had a variety of cancer trajectories and information interests. These digital twins present a potential solution for training artificial intelligence models at the initial phase when there is a scarcity of user information.

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ER -

Wang Y, Thaker K, Hui V, Brusilovsky P, He D, Donovan H et al. Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families. In Strudwick G, Hardiker NR, Rees G, Cook R, Cook R, Lee YJ, editors, Innovation in Applied Nursing Informatics. IOS Press BV. 2024. p. 754-756. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI240314

Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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