Healthcare IT News recently released the first episode of a three-part HIMSSCast series, featuring Greg Kuhnen, system director for analytical solutions at UNC Health. Kuhnen discussed UNC Health’s extensive efforts over the past decade to leverage their clinical, financial, and operational data to enhance care delivery quality and efficiency.
The initial episode delved into the fundamentals of effective data governance and management, highlighting how the HIMSS Adoption Model for Analytics Maturity has played a pivotal role in their journey. In the latest installment, Kuhnen elaborates on how the AMAM scale, now known as the Analytics Maturity Assessment Model, is aiding UNC in aligning their data with strategic objectives.
Key talking points in this episode include:
– The significance of the AMAM and its evolution into the Analytics Maturity Assessment Model
– UNC Health’s achievement as one of the first health systems to reach Stage 7 on the original model
– The decision to collaborate with HIMSS Analytics and the benefits derived from it
– How the model facilitates the management of diverse data types
– Alignment of governance strategy with larger strategic goals at UNC
– The outcomes-based focus of the new model and its implications for the health system
– The process of attesting to the model with HIMSS Analytics
– The role of the model in paving the way for artificial intelligence initiatives at UNC
For more insights on this topic, listeners are encouraged to subscribe to the HIMSSCast podcast on platforms like Apple Podcasts, Spotify, and Amazon Music. Additional resources related to this episode and UNC Health’s analytics journey are also available.
Mike Miliard, executive editor of Healthcare IT News, can be contacted via email at mike.miliard@himssmedia.com. Healthcare IT News is a publication under the HIMSS umbrella.
This engaging discussion on data governance and analytics maturity at UNC Health provides valuable insights for healthcare organizations striving to leverage data for improved patient outcomes and operational efficiency.
