This talk will focus on Current and Potential applications of Ambient AI, with emphasis on Techquity.

1. Current and Potential Applications of Ambient Artificial
Intelligence: PromotingTechquity
JAI NAHAR, MD, MBA
Associate Professor of Pediatrics
George Washington University School of Medicine
Attending, Division of Cardiology
Children’s National Hospital, Washington DC
HITLAB Digital
Health Symposium: Health
Equity
July 27, 2023

2. Agenda
1. Technology: Ambient AI, and it's applications
2. IntegratingTechnology and Health equity
3. Call to action & Future Directions

4. Ambient Intelligence
Ambient intelligence is a presence of digital environment that is sensitive, adaptive,
and responsive to the presence of people.
Cook DJ, Augusto JC, Jakkula VR. Ambient intelligence: technologies, applications, and opportunities. Pervasive Mob Comput. 2009;5(4):277-298

5. Ambient
AI
Outpatient
Clinics
Inpatient
Hospital Care
Home Health
1. Monitoring of activities of daily
living
2. Prevention of fall/fall detection
3. Home rehabilitation
4. Early warning systems, disease
detection, surveillance
Home Health Optimization
1. Foreign Language
Interpretation
2. EHR Navigation
3. Data retrieval
4. EHR documentation
5. Virtual assistant
Point of care
Hospital Journey
1. ICU:
• Preventing data fatigue
• Infection control
• Monitoring of patient mobilization
2. Operating rooms:
• Surgical count
• Surgical training
3. Discharge planning
Ambient AI Applications in Health care delivery

7. Techquity
Techquity is the strategic design, development, and
deployment of technology to advance health equity
The Path to Techquity (ipsos.com)
Creating “techquity” to bridge patients to health innovations | American Medical Association (ama-assn.org)

8. Techquity & Adoption barriers
Access
• Internet, health tech
• Digital/Tech literacy
• Affordability: user cost, insurance
User Interface, Experience: UI, UX
Financial: System level cost, reimbursement
Data management: Logistics
Legal Liability

9. AI: Fairness and Bias
Bias:
Data sets (input data)
Algorithmic
Human (Cognitive bias)
Systemic bias

10. Future Directions
• Collaborative Communities, partnerships
• Human-Centered Design
• Innovation in Reimbursement models
• Data and AI governance

11. Thanks for your time!