All Research

Research Area

Digital Health Transformation

Examining telemedicine, health information systems, collective intelligence, and the digitization of healthcare delivery.

Overview

The digital transformation of healthcare creates both opportunities and challenges. Our research examines how digital technologies—from telemedicine to health information systems to collective intelligence platforms—can improve health outcomes, particularly in underserved communities.

Key areas of investigation include:

  • Telemedicine & virtual care: Evaluating the effectiveness, equity, and optimal implementation of telehealth services
  • Health information systems: Studying how data flows, EHR design, and interoperability affect care quality
  • Collective intelligence: Exploring how aggregating clinical judgment can improve diagnostic accuracy
  • Digital health equity: Ensuring digital health innovations benefit all populations, including those with limited digital access
  • Community health digitization: Supporting community-based organizations in adopting digital health tools

Related Publications

View all publications

Effect of an mHealth-Supported Healthy Future Programme to Improve Type 2 Diabetes Management in Nairobi, Kenya: A Cluster Randomised Controlled Trial

Chen, Huanhuan, Ndegwa, Stephen, Kwaro, Daniel, Otieno, Walter, Oyugi, Elizabeth, Sylvia, Sean (2023)

The Lancet Global Health

Evaluation of a Village-Based Digital Health Kiosks Program: Evidence from Two Cluster-Randomized Controlled Trials

Cheng, Fei, Yip, Winnie, Zhu, Yue, Sylvia, Sean (2022)

Health Policy and Planning

DOI: 10.1093/heapol/czac072

Innovative Approaches of Measuring Care Quality in China's Market for Telemedicine

Cheng, Fei, Zeng, Tongxin, Sylvia, Sean, Chen, Xi (2024)

China Economic Review

DOI: 10.1016/j.chieco.2024.102320

Factors Influencing Adoption and Use of Telemedicine Services among Primary-Care Physicians and Patients in Rural China: A Qualitative Study

Du, Yang, Xu, Changzheng, Yip, Winnie, Sylvia, Sean (2022)

BMJ Open

DOI: 10.1136/bmjopen-2021-059438

Dynamic Information Sub-Selection for Decision Support

Huang, Jingdong, Galal, Galal, Anderson, Erik, Chiang, Sharon, Goldstein, Benjamin, Marks, Michael, Sylvia, Sean (2024)

Proceedings of Machine Learning Research

Collective Intelligence-Based Participatory Surveillance for Infectious Disease: Mixed Methods Pilot Study in Ghana

Marley, Gifty, Dako-Gyeke, Phyllis, Nepal, Prajwol, Rajgopal, Rohini, Koko, Evelyn, Chen, Elizabeth, Nuamah, Kwabena, Osei, Kingsley, Hofkirchner, Hubertus, Marks, Michael, Tucker, Joseph D., Eggo, Rosalind, Ampofo, William, Sylvia, Sean (2024)

JMIR Infodemiology

DOI: 10.2196/50125

Quality of Telemedicine Consultations for Sexually Transmitted Infections in China: A Standardized Patient Study

Si, Lei, Xue, Hao, Tucker, Joseph D., Sylvia, Sean (2024)

PLOS Medicine

Artificial Intelligence in Health Care

Sylvia, Sean, Oliva, Junier (2024)

North Carolina Medical Journal

DOI: 10.18043/001c.120561

Community Partners

Our digital health transformation research is grounded in partnerships with community organizations working to improve health in underserved populations.

Partner With Us

We work with community organizations, health systems, and technology partners to advance digital health innovation that benefits all communities.