Data Science in Clinical Care (2023-2024)
Clinical decision support (CDS) tools are data science innovations that promise to improve healthcare outcomes. For example, they can predict which patients are at risk of rapid deterioration and alert providers to act.
While the Food and Drug Administration provides guidance on the technical development of CDS tools, more needs to be done to ensure that they are well-suited for the clinical setting, connecting development and implementation so that the tools achieve their objectives in practice.
This team worked to develop a process to facilitate the adoption of CDS tools in different clinical contexts. To achieve this goal, the team used a methodology called Participatory System Dynamics Modeling, which involves structured, facilitated workshops with staff to co-develop mental models of the problem of CDS adoption over time.
One subteam team created a taxonomy of clinical decision support tools, while another subteam conducted a workshop with clinical staff at Duke Health to understand the barriers to CDS adoption in their context.
Learn more about this team’s work by reading their team profile.
Timing
Fall 2023 – Summer 2024
Team Outputs
Modeling Implementation of Clinical Decision Support Tools (Team profile; 2024 Fortin Foundation Bass Connections Virtual Showcase)
Engaging Multidisciplinary Teams to Develop a Model of CDS Adoption (Poster presented at Fortin Foundation Bass Connections Showcase, April 17, 2024)
Engaging Multidisciplinary Teams to Develop a Model of CDS Adoption (Poster Presented at the Health Data Science Showcase, Duke AI Health, December 8, 2023)
Taxonomy of clinical decision support tools
Workshop with clinical staff at Duke Health
This Team in the News
Meet the Members of the 2023-2024 Student Advisory Council
See related team, Data Science in Clinical Care (2024-2025).
Image: Yeu-Li Yeung, OT/L, CPE, CSPHP, Patient Care Ergonomics Coordinator, shows a nurse how to operate a total-assist patient lift in a hospital room at Duke Medicine Pavilion's Neuroscience unit, by Jared Lazarus/Duke University
Team Leaders
- Scott Rockart, Fuqua School of Business
- Nina Sperber, School of Medicine-Population Health Sciences
/graduate Team Members
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Shatanshu Choudhary, Master of Engineering Mgmt-MEG
/undergraduate Team Members
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Hannah Groos
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Samantha Hamelsky
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Saanvi Pawa
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Kriti Vasudevan
/yfaculty/staff Team Members
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Armando Bedoya, Duke University Health System
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Sophia Bessias, Ai Health
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Lauren Caton, UNC Chapel Hill–Maternal and Child Health–Ph.D. Student
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Benjamin Goldstein, School of Medicine-Biostatistics and Bioinformatics
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Adam Johnson, School of Medicine-Surgery
/zcommunity Team Members
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Gabriel Escobar, Kaiser Permanente (Retired Research Scientist)
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Andrew Goodwin, Medical University South Carolina
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Lindsey Zimmerman, Office of Mental Health and Suicide Prevention, Veterans Affairs