What can healthcare learn from Formula One racing? According to Dr. Sadiqa Mahmood, SVP of medical affairs and life sciences for Health Catalyst, race support teams leverage about 30TB of baseline data to create a digital twin of the car, track, and racer for simulation models that drive decisions at each race. Applied in the healthcare setting, a digital twin can help clinicians better understand each patient and their health conditions and circumstances in real time and make comprehensive, informed care decisions. But for the healthcare digital twin to happen, the industry must move away from data silos and towards a digital learning healthcare ecosystem.
2. Formula 1 Race Support Room
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• 300 sensors that measure all aspects of the car contributing 10TB data for each race weekend for a racing team.
• 30TB of baseline data from race to race around the world.
• Each gear change adds up to 100 data points; there are 100 or so gear changes per lap, so you can get into millions of data points
right away.
Ref: Mercedes AMG Petronas
Motorsport Race Weekend
3. Think about your healthcare digital twin...
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https://insights.thirdrepublic.com/digital-twins/
4. This is our CTO. This is healthcare’s digital view of his life.
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Our Digital Understanding of Patients Is Poor
Citation: Dale Sanders, CIO, Northwestern
Medicine. Calculating annual storage
requirements for the Northwestern electronic
health record, 2011
5. This is the data we need…now let’s go after it.
Standards, sensors, networks, analytics, AI… massive employment and economic opportunity
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11. 11
I- Use RWD and analytic applications to inform:
• Selection of appropriate patient .
• Integration with clinical workflow.
• Tracking clinical endpoints comparable to standard-of-care
outcomes and costs.
II- Enable digital twin and overcome gaps in clinical data.
Digital Medicine