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Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.

Smriti's LinkedIn: https://www.linkedin.com/in/smritikirubanandan/

Smriti's HLTH Forward Podcast: https://hlthforward.buzzsprout.com/

In this episode, Scott interviewed Smriti Kirubanandan, a Healthcare and Public Health Data Expert at a large consulting firm. To be clear, she was only representing her own views on the episode. Much of the challenges and opportunities discussed in this episode are more on the US side because of the not-so-well-functioning healthcare system there.

Some key takeaways/thoughts from Smriti's point of view:

1. In healthcare, it's easy to lose sight of the patient in the data - focusing solely on a condition, an area of the body, or a set of data instead of a person. It's vitally important to be focused on the data through a lens of treating the patient as an entire person.
2. !Controversial!: It can sound time consuming to interact with data "in a much more intimate format" much like a 1:1 conversation but it's very important to drive to better outcomes. Instead of automated decisioning, we can point our tooling to compile the relevant information better to make decisions faster without removing the care or the person. Machines making automated decisions leads to worse patient outcomes.
3. "Obviously, privacy is important. Ethics is important. How do we interconnect this data and how do we get to communicate amongst" the payers and providers? So physicians can look at a much more complete picture of the patient to treat them better.
4. There are many organizations collecting important health data about people. We need to rally around the patient outcomes...