Health Datapalooza 2013: State of the Art - VisualDx


Published on

Health Datapalooza IV: June 3rd-4th, 2013
The State of the Art: Enterprise Data Use at the Point of Care
Janet Marchibroda, Director, Health Innovation Initiative, Bipartisan Policy Center

The new delivery models have made it clear- they need health information technology (IT) and data in order to succeed in providing high value health care. Many decision-makers and clinical staff are overwhelmed by or are looking for the evidence to support using the increasing amount and divergent types of data that can be leveraged at the enterprise level and point of care. Patient-generated data, open data streams, cost and quality information – how will it fit into the clinical workflow, and does it make a difference in operations and clinical outcomes? Join us for demos and a discussion of the state of the art.

Panel A (3:30-4:15pm): Enterprise-Level Data Analytics
Jack Challis, Chief Executive Officer & Co-Founder, CliniCast
Allen Kamer, Vice President Corporate Development and Marketing, Humedica
Jonathan Porter, Vice President Product Strategy, athenahealth
Eric Page, Chief Executive Officer, Amplify Health
Graham Gardner, Chief Executive Officer,

Panel B (4:15-5:00 pm): Data at the Point of Care
Jason Bhan, Executive Vice President & Co-founder, Medivo
Madhu Nutakki, Vice President of Digital Presence Technologies, Kaiser Permanente
Noah Craft, Chief Medical Officer, VisualDx
Michael Long, Chief Executive Officer, Lumeris
Omri Gottesman, CLIPMERGE, Mount Sinai School of Medicine

These sessions are eligible for continuing education credit.

Published in: Health & Medicine, Business
  • Be the first to comment

  • Be the first to like this

Health Datapalooza 2013: State of the Art - VisualDx

  1. 1. Health Datapalooza IV—Data at the Point of CareCreated by: Noah Craft, MD  Version: 6/2011VisualDxDiagnostic decisionsupport:-- helping doctors think-- engaging patientsNoah Craft, MD, PhD, DTMHChief Medical Officer, Logical ImagesClinical Associate Professor of MedicineUCLA-Olive View Medical Center
  2. 2. A 27 year old women develops a fever and red skin lesions andfeels quite sick. She is taken to the emergency room.
  3. 3. The clinician’s problem:What could this be? What does she have? Whatshould I do?
  4. 4. With their unaided mind, can adoctor ….Know all of the medical and scientific literature?Know every detail about every patient?Sort through it all?Make an accurate diagnosis in 15 minutes?
  5. 5. How big is the problem?• 10-30% of all diagnoses are in error• 80,000-160,000 deaths per year• Doctors are overconfident and don’t have enough time• Most parts of the system are not incentivized foraccuracy• Both patients and clinicians have limited access tostructured data or knowledge for diagnosis.How can we improve things?
  6. 6. Tools to help the clinician extend-- the hands, ears, and eyes…..
  7. 7. What about extending this?
  8. 8. Diagnostic Clinical Decision Support100 Years Ago
  9. 9. Search for scabies….
  10. 10. Remedies for scabies….onions???
  11. 11. And what happens when you search for Anthrax?
  12. 12. Case 135 year old South Korean professor.Weight loss over 3 weeks, night sweatsCoughing up blood, febrileExam:  Ill appearing.Temp 38.3 (101) other vitals normalEnlarged anterior cervical nodesDullness and rales in right upper lungPustules and nodules on arm and neck as in photosPathology shownOh, and he also traveled through Thailand,Mexico, and Southern California recently.
  13. 13. Why is VisualDx successful?How can we help people recognize thousands of medicalconditions, each with multiple symptoms and visualclues?•Own the world’s best medical images•Develop a standards based medical terminology•Build a comprehensive structured medical knowledge database•Hire a team of experts and distill their experience•Merge images, terminology, database•Design a visually-based intuitive search process and UI•Deliver meaningful answers in seconds to the point of care….•Do all of this, but make the doctor’s life easier and save time.…AND use this structured knowledge database totransform medicine moving forward…
  14. 14. Premise of Clinical DecisionSupport
  15. 15. VisualDx Stats – market success•Licensed by more than half of all medical schools-- Includes Harvard, Yale, Cornell, UPenn, UCLA, UW,others…-- Top 5 favorite app by Harvard (2008, 2011) and UPenn(2013)•Licensed by more than 20% of EDs nationally•Licensed by the entire VA nationwide, and 6 entire states•Partnered and integrated with UpToDate•KLAS Best in Class 2011, 2012•Integrates with most EMRs•98% renewal rate
  16. 16. VisualDx Stats – under the hood•Image collection built from more than 2 million images•100,000+ images with metadata in database•~27,000 images in the active VisualDx product•~1300 Dx and growing•~40,000 Dx to finding relationships•~5,000 Rx to Dx relationships•~125 editors internationally and 30 employees•~ 50% of traffic is through mobile•Expanding to cover all diagnoses and findings in medicine, allthings visual in medicine, and all drug reactions.•As the structured knowledge database grows, inclusion ofgenomics risk factors, feedback loops, patient input, etc.
  17. 17. VisualDx in Action
  18. 18. Problem Oriented Search
  19. 19. Not an algorithm -- multiaxial search
  20. 20. Enter a lesion type
  21. 21. Visually based Differential Dx
  22. 22. Refine your search -- patterns
  23. 23. Refined Differential Dx
  24. 24. Add a medical history risk factor
  25. 25. Patient-contextualized DDx inseconds
  26. 26. Search by disease
  27. 27. Choose Disease: Psoriasis
  28. 28. Change Patient Context: DarkSkin
  29. 29. Change Affected Area: nails
  30. 30. Search by problems in the eye
  31. 31. Search by x-ray findings
  32. 32. View variations in presentation
  33. 33. Search by mucosal problems
  34. 34. VisualDx – suspected drugreaction
  35. 35. VisualDx – suspected drugreaction
  36. 36. VisualDx – Dual Use for CBRNsuspicion
  37. 37. Case 2 – sick kid, worried mom
  38. 38. VisualDx – in your pocket
  39. 39. VisualDx – complex decisionsupport
  40. 40. VisualDx – improved diagnostic accuracy
  41. 41. VisualDx - data at the point of care
  42. 42. VisualDx – patient engagement
  43. 43. VisualDx – saves time
  44. 44. VisualDx – builds patient trust
  45. 45. Thank youContact:Noah Craft, MD,