Recursion is an analytical technique to line up the holes in swiss cheeses i.e. line up holes through multiple spinning buckets of data to work out what’s important.
Let’s say BI analytics come up with a theorem that increased risk-taking by staff in a particular area is resulting in more accidents; the question becomes what to do about it.
In the preventative health field, we’ve been hybridizing personalized medical and engineering knowledge into a recursive analysis engine. It’s tricky, because the compute required is large and everything has to be done in order. The trick in the end has been to use Azure’s Service-Bus to queue up work in a sequential order, avoiding overload and making sure “A” completes before “B”. An Azure Service-Bus is analogous to a conveyor belt in a factory, with different tasks happening along the conveyor belt. This is familiar in the OTA/GDS corporate travel world, where a seat needs to be confirmed available before a ticket can be issued.
As we’ve progressed, we’ve realized the application of this medical recursion engine to Flight Operations Quality Assurance (FOQA). Traditional FOQA might look for pilots putting the flaps down too early, but there haven’t been the tools to assess associated bio-metrics. With the latest wearables, the tools to get pulse and temperature and ECG data now exist.
One of the challenges with wearables is many are targeted at the wellness industry and they don’t provide access to the really useful raw data e.g. Fitbit. After finding they couldn’t get what they needed, a high profile and well resourced US university has decided to create the world’s first medical wearable and open source data repository with AI insights. In clinical trials, they are demonstrating highly reliable medical event early warnings.
Combining FOQA with bio-metrics and other telemetry produces new opportunities for evidence based optimization.
For a heavy vehicle driver, what if we were to combine evidence of harsh breaking and excessive speed with bio-metrics to better intervene before a driver needs to be stood down?
What if early warning of viral infection by crews could be used to prevent spread of a virus?
What if a heavy vehicle driver or pilot could get 30 seconds warning of a medical event through ECG etc? They could take action to prevent an accident and company liability for consequential damages.
What if the company could tell though heart rate, breathing rate and skin temperature that a driver or pilot isn’t fit to undertake duty e.g. assist alcohol and drug testing to be more targeted?
There are interesting implications with tracking VIPs traveling in high risk situations.
The abundance of Corporate Wellness programs are recognizing the importance of staff health and performance, but food/pharma based programs tend to be oriented to data harvesting rather than health improvements. On the other side of the coin, the widespread understanding that VitC, VitD, Zinc & Quercetin are preventatives for Covid-19 has led to a worldwide shortage of Zinc etc i.e. there’s an appetite for wellness programs that are genuinely preventative, personalized and evidence-based. What if a wellness program came equipped to deliver some real value for all stakeholders?
We recognize a new opportunity:
- To combine wearables and other telemetry with personalized medicine for further insight
- With a recursion engine, make automated evidence based recommendations
- Use a Progressive Web App (PWA) to drive feedback and engagement
There is a step change available to reduce corporate accidents and maintenance.