Conference Presentation, Product Demonstration, Keynote
Open Evidence Captures Doctors’ Collective Wisdom with AI ft. Zachary Ziegler
- OpenEvidence Platform Metrics & Adoption
- The platform is a medical search tool designed specifically for physicians.
- In the past 12 months, monthly active users reached over 25% of all US practicing physicians.
- The average user engages with the platform on a daily basis.
- Case Study: In-Flight Emergency Response
- Internal medicine physician Dr. Susan Wilber utilized the platform during an in-flight medical emergency involving a 63-year-old male with a severe rash.
- Initial symptoms suggested chickenpox; the platform confirmed an incubation period of 15 days based on CDC Yellow Book data.
- The patient's context included prostate cancer and treatment with Xtandi, a drug that induces immunosuppression.
- OpenEvidence identified the patient's immunosuppression level as "moderate," negating the immediate need to divert the aircraft.
- The platform provided a treatment protocol based on recent literature from journals like the Journal of Immunotherapy of Cancer.
- Clinical guidance indicated urgency for medication but not immediate administration (i.e., treatment could wait rather than occur within 30 minutes).
- Operational Outcome
- The flight continued without diversion; the patient received treatment upon landing with a positive outcome.
- Strategic Vision & Future Roadmap
- The company is currently expanding integration directly into physician workflows.
- New development focuses on advanced modalities for medical reasoning and medical research.
- Aggregate Clinical Wisdom Initiative:
- OpenEvidence is developing capabilities to encode, fetch, and aggregate distributed clinical knowledge currently held by physicians ("wet brains").
- This system aims to synthesize expert consensus to augment AI-driven answers.
- A pilot instance was demonstrated within the current week, integrating aggregate wisdom from top gastroenterology specialists to improve specific diagnostic answers.
- Market Context
- The system is reported to handle approximately 10 distinct patient interactions per second globally.