Great Milestone. GenAI is more empathetic and accurate than an average doctor - kind of...
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.
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.
