Whether you work for a large healthcare organization—or trying to disrupt large healthcare organizations—it can be helpful to understand how these huge healthcare companies think about AI and Big Data.
To help with this, I consistently read Optum’s blog, called Health Care Conversation, which posts frequent content, mostly written by senior leadership, and often about their company’s data/healthcare strategy.
Optum, as many of you know, is part of UnitedHealth Group—the 36th largest company in the world by market cap (sandwiched in between Boeing and Coca-Cola) and I contend by reading this blog, which takes about 5-10 minutes a week, you can get a pretty good feel for how “Big Health” sees the healthcare-data world.
To get a flavor of what they discuss here are some recent titles:
- Social determinants of health data challenges and their impact on risk and quality
- HEDIS measures, ECDS and telehealth: Are health plans ready?
- How to make a health care startup entanglement extravaganza
- Fingerstick vs. venipuncture: The cost-saving power of biometric screenings
One point I have found interesting? Optum (and I suspect other “Big Health” companies?) seems to be much more open about what they are doing in the area of AI and Big Data than some of their Big Tech competition such as Amazon, Google, and Facebook. Heck, I have found we generally only find out about what these Big Tech companies are doing in healthcare after some public relations data privacy disaster! That’s worth dwelling on.
Anyway, check out the Optum’s blog. Isn’t it worth 5-10 minutes a week to get a better understanding of what Big Health is doing in the field of AI and Big Data?