Insights: Unleashing the Power and Avoiding the Pitfalls of Data

Editor’s note: All of today’s guests can be heard speaking at MGMA19 | The Data Conference, May 16-18 in Orlando, Florida. As a special offer to you, our podcast listeners can receive $200 off the regular registration price by entering the code PODCAST at mgma.com/datacon Healthcare’s business analytics market is projected to grow from $14 billion in 2019 to more than $50 billion by 2024. To help healthcare professionals better understand and utilize data in their practice, this episode of MGMA Insights is focused on providing information on how data can best be utilized in a medical practice. We also explain the importance of evidence-based thinking and discuss how to apply key metrics to a dataset. Experts and topics in this episode include: • Ashley Voss, Data Analyst II, MGMA, on data collection and analysis • Chris Addison, MBA, LSSGB, Student Health Services, on Lean principles and data-driven decisions • Lynda Barrie, Consultant, MGMA Consulting, on key metrics to use in datasets • Frank Cohen, MBB, MPA, Director of Analytics, Doctors Management LLC, on evidence-based thinking • Timothy Smith, CPA, ABV, Principal, TS Healthcare Consulting, on being a data skeptic Sources for this episode include: https://www.mgma.com/resources/financial-management/predicting-the-future-of-healthcare-with-analytics https://www.mgma.com/data/data-stories/the-power-of-benchmarking-data-for-healthcare-lead https://www.mgma.com/resources/financial-management/physician-practice-losses-using-loss-sourcing-ana https://www.mgma.com/resources/revenue-cycle/get-proactive-with-payments-how-medical-groups-ca If you like the show, please rate and review it wherever you get your podcasts. Every positive review helps new listeners find the show. If you have any questions, concerns, or ideas, please shoot us an email at podcasts@mgma.com or visit mgma.com/podcasts for our complete library of episodes. MGMA Insights is presented by Craig Wiberg, Decklan McGee, and Daniel Williams.

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