Episode #1
Genhealth AI (as seen by perplexity.ai copilot)
Episode #2
Episode #3
The Rubric (ever changing) but worthwhile to fill out on your own ahead of time:
[Prompt for Rubic to put in AI of choice (GPT with plugin/Edge/perplexity.ai)](https://patientdev.notion.site/Prompt-for-Rubic-to-put-in-AI-of-choice-GPT-with-plugin-Edge-perplexity-ai-1e0cdcf789344e97a1c2b58034ed996f)
Note: responses below are trial for genhealth.ai generated by GPT4, perplexity co-pilot may be easier
1 Relevant background
GenHealth AI is an innovative healthcare startup, founded by the creators of 1upHealth's FHIR data management infrastructure. Drawing on experience from managing over 50 million patients' data, their team, which includes entrepreneurs, engineers, security experts, and scientists, is crafting novel generative AI algorithms using standardized data.
2 Problem being solved
Traditional healthcare predominantly relies on evidence-based medicine, which necessitates individual research for each unique hypothesis. This approach is not generalizable and heavily depends on human capital, thus increasing costs. GenHealth.ai addresses this by offering an AI-based approach to generalize predictions and insights across various use cases, diseases, and populations. ( https://genhealth.ai/about )
3 Design/tech stack
GenHealth.ai's core product is a Generative Pre-Trained Transformer (GPT) AI model called DOOG-E. It integrates an API, user applications, and a neural network model with a robust memory capacity, trained on encoded medical events, offering a departure from traditional natural language processing.
4 Business model
GenHealth.ai operates on a B2B model, targeting health insurance providers, healthcare providers, pharma & life sciences companies, and life insurance companies. It also aims to extend its services to application developers and other industry stakeholders. The revenue model likely involves subscription-based or usage-based fees.
5 Applicable regulations
Due to the sensitivity of health data, GenHealth.ai must comply with data protection and privacy regulations like HIPAA in the US and GDPR in the EU, among others.
6 People
The GenHealth.ai team includes experienced entrepreneurs, skilled engineers, security experts, and talented scientists. This diverse team ensures the utilization of cutting-edge technology to create impactful solutions in the healthcare sector.
7 Potential Uses
Beyond its current use cases, GenHealth.ai shows potential for further applications in healthcare research, predictive analytics, personalized medicine, health policy planning, and software development for healthcare applications.
8 Does it change your practice or viewpoint? If so, how or what?
Yes, GenHealth.ai significantly alters the traditional view on healthcare. It underscores the potential of AI in transforming healthcare from an evidence-based field to a more predictive and personalized one. The technology presents a new paradigm in healthcare delivery, with an emphasis on data-driven decision-making to improve quality, reduce costs, and promote healthier lives.
Possible topics for next time
AvoMD | Reimagining Clinical Decision Support | New York
Other (as of July 9, 2023)
https://www.sec.gov/Archives/edgar/data/1980883/000198088323000001/xslFormDX01/primary_doc.xml