Telehealth Secrets Conference 2018 by VSee Speaker: Art Papier, MD (VisualDX) More info here: vsee.com/conference

1. Art Papier, MD
Diagnostic Errors,
Decision Support
and the
Telemedicine
Workflow
Associate Professor of Dermatology and Medical Informatics, University of Rochester
Chief Executive Officer, VisualDx
Telehealth Secrets

2. What Large Problem Are We Trying To Solve?

5. Referring
Physician
Referring
Physician
Telemedicine
+ >
Expert
Consultant

6. Rule Based
Systems
Machine
Learning
Decision Support:
+ >
Artificial
Intelligence

7. What Do Many Doctors Use When They Don’t
Know?

9. Would you fly on this plane?
Adhoc search, no standards, each pilot performs differently

10. Pilots do not use Google on final
approach…why do clinicians?
Tools are designed for specific tasks

11. We Need a Cockpit for
Professionals and Patients

12. Cockpit Design
 Develop a standards-based medical terminology
 Medical images of all forms and variations
 Comprehensive medical knowledge database
 Visual search process and interface
 Continually refine and improve machine learning
 Merge terminology, images, database, machine learning and interface
 Deliver meaningful answers in seconds

13. Reduce Cognitive Burden:
Visualization of complexity
Transforming the “diagnostic list”
by allowing for comparison of disease features.
13
Searchable by condition,
medication or unique
patient factors delivering
point of care differential
diagnosis, testing and
therapy.
2 matching findings: Arthralgia (Joint Pain, Articular Pain), Fever (Febrile)
Medicon

14. Improving diagnostic accuracy among persons of color
The only decision support system with a comprehensive
database of presentations of disease in people of all colors

15. VisualDx Multiple Workflows
• Uses SMART on FHIR
• Native iOS and Android apps
• Interoperable in:
• EHR
• UpToDate
• Telemedicine
VisualDx is in Cerner
VisualDx iOS and Android Apps
VisualDx within UpToDate
VisualDx on modern browsers

16. What is the role of VisualDx in Telemedicine?

17. What is the role of AI in decision support?
What can machine learning
do to enhance skills, not de-skill?

18. Recent
Case Study
 Presents to ED on April
10, 2018
 Female, 66 years old
 Two week history of
enlarging lesion on
finger. Patient removed
lesion herself. Lesion
recurred larger.
Brian Browne, MD

19. Machine Learning
Process
Snap a picture. Confirm lesion type. Add other symptoms.
Review diagnostic
possibilities.

20. Apple’s
Core ML:
Privacy &
Speed

21. A patient co-pilot

22. Contact
Art Papier, MD
CEO, VisualDx
apapier@visualdx.com