Great Milestone. GenAI is more empathetic and accurate than an average doctor - kind of...
Toby Eduardo Redshaw
Global Technology & Business Executive | Digitalization & Transformation Expert Across Multiple Verticals | Talent/D&I Leadership, Mentor & Coach | Board and C-Suite Tech Advisor | Trusted Advisor & Board Member |
From a very serious journal, two weeks ago... 18 months ago, this would have been just dismissed out of hand as bonkers. Today it is real.
It is fantastic progress and a great breakthrough. It is the beginning.
It's also mostly wrong. Very wrong.
Don't burn cycles on making a Gen AI to match the diagnoses and empathy of the average doc.
The real power of GenAI for doctors is collaborative and anchored in rethinking/improving the impact on patients and the healthcare system (including profits).
Use the technology to do things like this list, or all of it; not hard to design or do now that clever folk have gotten us this far. Here's the high-level product guidance:
- Improve most doctors. Make them more accurate, engaging, efficient, connected, and improving with the GenAI med-copilot
- Add a GenAI control layer or two upfront to further improve patient engagement, information accuracy, accuracy longevity, and reduces errors/defects.
- Add an omnipresent exhaust layer to drive better follow-up, engagement, continuous improvement, and improved GenAI.
- Make doctor/healthcare engagement continuous, richly informing, referenceable, shareable, intelligent, more accurate, and intelligently collaborative in real-time and across time. Create a health value vault for people. Trick them into loving it with Behavioral Econ and because it's also truly valuable.
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- Design for team approaches, portability, hierarchical work division, and circumvent/overcome the very geo-lumpy medical talent concentrations. (a term I just invented). Have GenAI-assisted expertise show up where it is needed, when it is needed. Have M2M Gen AI show up before it is needed. An ounce of prevention is worth a pound of...
- Don't focus on doctors who are focused on an episodic approach to patients inside a structure trying to optimize throughput, asset usage, and margins. Focus on the actual reality of life/health journeys and the continual opportunity to treat, engage, prevent, and harvest all the latent profit pools to make this economically rewarding.
- Crush and eat the competitors who can't keep up who latch on to the old model. Enjoy their revenue but with better margins.
- Massively aggregate data to improve everything
Release 1 before the end of Q3.
#genai #healthcareinnovation
Anna Catalano Nick Dew Ellen Levy Adam Goldberg Wendy Howell Ankur Agarwal Emily Salvador Emily Glazer Nikhil Deogun Jennifer S. Amanda Mackenzie Amanda Reed John Sviokla Chunka Mui Zachary Davis Timothy Chou Timothy Grayson Juan Santos Laura Jana Deborah Lafer Scher ?sa Tamsons Gunil Chung Abigail Kramer Chad Evans Michael Crow Albert "Al" P. Pisano, Ph.D. Vaughn Crowe Nick Beucher Gloria Caulfield Nicholas Dirks Alonso Vera Gamiel Gran Tom Reichert Kevin Reid d MR Rangaswami Bart Bailey, MBA (He, Him, His) Bryan MacDonald Marty Sprinzen Ryan Vega MD, MSHA
Advisor, Investor, Consultant , Experienced Executive and Board Member
1 年Toby Eduardo Redshaw I would add to the Med co-pilot, the selection of treatment. You might remember the results of some analytics on the quality of protocol selection in severe disease cases. It was not that the doctors picked a ??wrong?? treatment, just not the most likely to be successful. (And often not optimized for other considerations of cost, intrusiveness, nor post-intervention quality of life.) The advances in treatments, the volume of results, as well as the noise from advocates, are voluminous. Helping a doctor and patient determine the best treatment for particular circumstances can result in dramatically better outcomes.
Futurist and Innovation Advisor @ Future Histories Group | Keynote Speaker and Award-winning Author
1 年Great points, Toby. As our friend Mike Hammer used to say, don't use new tech to pave the "cow paths" worn in by prior assumptions and workflows. Some more musings along that thread: https://www.dhirubhai.net/pulse/how-ai-could-reshape-future-history-healthcare-better-chunka-mui/
| Helping leaders embrace AI, and organizations innovate with AI | Global Head of AI Transformation & Literacy | Keynote Speaker | Author of "Leadership in the Loop: AI Readiness for Today’s Leaders" |
1 年Thought provoking as usual Toby! Your recommended approach could be applied to most fields, especially customer facing. Cheers brother.