This section describes selected AI predictive models for healthcare and pharmaceutical contexts. For clarity, the focus is not on drug discovery and these are not consumer facing applications.
A separate tab showcases Red Flag predictors as HTML pages, with the objective of being easily accessible by busy clinicians faced with an uncertain diagnosis.
My focus is productivity improvement in workflow to achieve a variety of objectives:
- improve, augment and support people in healthcare and pharmaceutical companies to reason better in decision making;
- Reduce rework and simplify complex challenges especially at the boundary of choice-making;
- Reduce the risk of medical errors by cognitive modelling of medical heuristics and ‘how clinicians think’;
- Reduce the risk of business errors by cognitive modelling of commercial reasoning;
- Select areas where there is substantial benefit.
In many cases, I have constructed HTML simulations to demonstrate how the predictor works./
For those thinking of costs, my modelling is value-based and designed to ensure that these applications produce a net healthcare or commercial benefit.
All will involve some degree of investment to bring them to a market ready commercialisation standard. Our experience suggests that a clinically credible healthcare/pharma -AI prediction platform typically requires approximately €/$/£ 750,000 and 6–9 months of focused development to reach MVP and pilot readiness.
A demonstrator is about €/$/£ 250,000 over a couple of months.
The costs of licenses or outright purchase can be discussed.
If interested, please email me at mike_tremblay@skythunder.net. We can have a chat about your specific interests./