Times are displayed in (UTC-07:00) Pacific Time (US & Canada) Change
5/20/2025 |
2:00 PM – 4:00 PM |
Avila B
W15: Design Thinking for Clinical Informatics: a Framework for Co-Design
Presentation Type: Workshop
Design Thinking for Clinical Informatics: a Framework for Co-Design
Presentation Time: 02:00 PM - 04:00 PM
Abstract Keywords: Co-production/Co-Design, Artificial Intelligence/Machine Learning, Clinical informatics organizational models, Building Value for Informatics via Education and Training, Communication Strategies, Change Management
Primary Track: Leadership and Governance
Programmatic Theme: Usability, Efficiency, and User Experience
This workshop introduces design thinking, using the EDIPT framework (Empathize, Define, Ideate, Prototype, Test), to address complex challenges in clinical informatics. Targeted at healthcare leaders, clinical informaticists, and educators, this framework emphasizes a structured, human-centered approach to tackling issues at the intersection of emerging technologies, patient care, and operational integration.
While traditional methods like Lean Six Sigma enhance efficiency and continuous improvement, they often focus on predefined processes. This can limit their effectiveness in addressing open-ended challenges, such as integrating generative AI, ambient listening technology, and digital therapeutics. Design thinking complements these methodologies by fostering empathy and needs-driven innovation.
Participants will explore core principles of design thinking, including iterative prototyping and open ideation, gaining practical skills like hosting whiteboarding sessions and facilitating brainstorming exercises. The workshop also tackles common pitfalls, such as “solutionism” (implementing fixes without understanding user needs) and “pilotitis” (scaling unproven solutions).
Interactive exercises and real-world case studies will provide hands-on practice with the EDIPT framework, applying it to scenarios like improving patient communication through AI-enhanced portals. The session also highlights generative AI as a co-design partner, showcasing its potential to enhance collaboration and creativity. By the end of the workshop, participants will have actionable skills to integrate design thinking into their informatics initiatives, complementing traditional approaches and growing as innovative problem solvers.
Speakers:
Dong-han Yao, MD
Stanford
Aydin Zahedivash, MD, MBA
Stanford University
Tiffany Leung, MD, MPH, FACP, FAMIA, FEFIM
JMIR Publications
Lucy Chen, M.S.
Verily Life Sciences
Julie Lee, MD, MPH
Stanford School of Medicine
Presentation Time: 02:00 PM - 04:00 PM
Abstract Keywords: Co-production/Co-Design, Artificial Intelligence/Machine Learning, Clinical informatics organizational models, Building Value for Informatics via Education and Training, Communication Strategies, Change Management
Primary Track: Leadership and Governance
Programmatic Theme: Usability, Efficiency, and User Experience
This workshop introduces design thinking, using the EDIPT framework (Empathize, Define, Ideate, Prototype, Test), to address complex challenges in clinical informatics. Targeted at healthcare leaders, clinical informaticists, and educators, this framework emphasizes a structured, human-centered approach to tackling issues at the intersection of emerging technologies, patient care, and operational integration.
While traditional methods like Lean Six Sigma enhance efficiency and continuous improvement, they often focus on predefined processes. This can limit their effectiveness in addressing open-ended challenges, such as integrating generative AI, ambient listening technology, and digital therapeutics. Design thinking complements these methodologies by fostering empathy and needs-driven innovation.
Participants will explore core principles of design thinking, including iterative prototyping and open ideation, gaining practical skills like hosting whiteboarding sessions and facilitating brainstorming exercises. The workshop also tackles common pitfalls, such as “solutionism” (implementing fixes without understanding user needs) and “pilotitis” (scaling unproven solutions).
Interactive exercises and real-world case studies will provide hands-on practice with the EDIPT framework, applying it to scenarios like improving patient communication through AI-enhanced portals. The session also highlights generative AI as a co-design partner, showcasing its potential to enhance collaboration and creativity. By the end of the workshop, participants will have actionable skills to integrate design thinking into their informatics initiatives, complementing traditional approaches and growing as innovative problem solvers.
Speakers:
Dong-han Yao, MD
Stanford
Aydin Zahedivash, MD, MBA
Stanford University
Tiffany Leung, MD, MPH, FACP, FAMIA, FEFIM
JMIR Publications
Lucy Chen, M.S.
Verily Life Sciences
Julie Lee, MD, MPH
Stanford School of Medicine