#240 Driving to Better Healthcare Patient Outcomes Through Data - Interview w/ Smriti Kirubanandan

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.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: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.!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."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.There are many organizations collecting important health data about people. We need to rally around the patient outcomes...

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Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio