Patient well-being is top of mind for all healthcare providers. Understanding patient treatment patterns is crucial to being able to recommend alternative paths to musculature surgical events. Doing so not only improves patient outcomes, but also reduces risks to the providers as well as reduction in costs to the payers. The patient and provider also avoid unnecessary re-admittance patterns relating to post-surgical events including: opioid addiction, anxiety, and long term rehabilitation procedures.
Teradata Solution Brief
Teradata team loaded 10+ years of Humedica and Claims data including: Medical claims - Diagnosis , procedure, and revenue codes. Data collected also included: member demographic and geographic information, 3rd party Risk scores, volume of services / rate or frequency of services prior to surgery and other diagnosis and lab data sets. Once the data was loaded and harmonized a variety of advanced analytic technics were applied including path and pattern analysis, bayesian predictive models, and clustering and affinity technics.
Our clients received a 10x improvement to identify members trending towards surgery surgical events that could be avoided. With this solution our clients were able to incorporate results into care management/case management application for proactive outreach. The Teradata solution offers our clients a repeatable process to identify members, allocate alternative services and improve patient outcome and quality of life.