Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions
Based on academic healthcare data science program experiences, we provided recommendations for approaches to identify scenarios for data science implementations within healthcare settings.
Authors
- Gary D. Bader (ORCID: https://orcid.org/0000-0003-0185-8861)
- Amol A. Verma (ORCID: https://orcid.org/0000-0001-6857-931X)
- Michael Brudno (ORCID: https://orcid.org/0000-0001-7947-2243)
- Vasily Giannakeas (ORCID: https://orcid.org/0000-0003-2924-8723)
- Lisa J. Strug (ORCID: https://orcid.org/0000-0003-0503-9740)
- Michael Caesar (ORCID: https://orcid.org/0000-0002-3447-7486)
- Muhammad Mamdani (ORCID: https://orcid.org/0000-0001-5199-6344)
- Ravi Retnakaran (ORCID: https://orcid.org/0000-0003-1989-027X)
- Azadeh Kushki (ORCID: https://orcid.org/0000-0003-1510-8818)
- Helen Lasthiotakis
- Lillian Sung (ORCID: https://orcid.org/0000-0003-0951-3091)
- Brad Buchsbaum
Institutions
- Mount Sinai Hospital (CA)
- St. Michael's Hospital (CA)
- University Health Network (CA)
- University of Toronto (CA)
- Lunenfeld-Tanenbaum Research Institute (CA)
- Hospital for Sick Children (CA)
- Holland Bloorview Kids Rehabilitation Hospital (CA)
- Women's College Hospital (CA)
- Baycrest Hospital (CA)
- Vector Institute (CA)
- SickKids Foundation (CA)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-03-14
- DOI
- https://doi.org/10.3389/fdgth.2025.1511943
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00