The healthcare industry has been in a constant state of flux. From the rise in connected health devices to the transition from fee-for-service to value-based care. The solution to understanding and achieving these rising trends is through big data and analytics. Our predictive analytics scientist, Virginia Long recently contributed to and was featured in two leading healthcare IT publications about the potential of big data and analytics.
Within the Becker’s Health IT & CIO piece, Virginia offered best practices that healthcare organizations can follow to make the most of their resources. Here are a few key takeaways:
“To ensure a successful transition and properly address roadblocks, healthcare organizations must establish a defined data repository and platform to properly store, view and manipulate information. Once the proper platforms are in place, mechanisms and tools need to be utilized, like analytics, to benchmark and track organizational progress. Although costly and time consuming, this is the building block that is fundamental to creating a data-driven approach to healthcare.”
The Healthcare IT News piece, penned by Mike Miliard, took the concept of analytics a step further by highlighting the insights derived from analytics to identify gaps in care, social determinants, etc. Here are a few key takeaways from his piece:
“One of Long’s current focuses is on using geospatial information to find gaps in access to care. For instance, she examined childhood obesity in Mississippi, mapping where there were rural health clinical by county, even by ZIP code. And one ZIP code had a tremendously high rate.
‘You can imagine that if you took that information and added a clinic or state program there it would be super valuable,’ Long explained. ‘You might be able to make some big changes with just a small addition.’
Another of Long’s recent focuses at MedeAnalytics is the addition of geospatial information to help add ‘another layer of understanding to data. ‘Knowing where a person is gives you a lot more relevant information to help you know what’s going on with the patient,’ she said. ‘Not just their health outcomes, but what the drivers are for those health outcomes.’”
To learn more, check out the entire articles at Becker’s Health IT & CIO Review piece and Healthcare IT News piece.
Get our take on industry trends
Why Social Determinants Need Analytics for Success
Many challenges face healthcare’s underserved. There are issues with food, housing, reliable transportation, steady employment and more. Each contributes to and is one element of social determinants of health (SDH). In communities around the world, public and private organizations are taking steps to address SDH-related issues and challenges that negatively impact healthcare.
Read on...Healthcare Organizations Recognize Importance of AI for Reporting
Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:
Read on...Why It’s Time for Healthcare to Move Toward AI Reporting
Business intelligence (BI) was a dramatic and significant step forward in healthcare industry reporting and a natural transition to artificial intelligence (AI) enabled real-time insights.
Read on...Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting
Many areas in healthcare rely not only on the collection of data but, importantly, the ability to decipher and act upon it. In that intersection, reporting was born.
Read on...