Healthcare Case Study
Organization: UndislcosedOverview
Despite numerous secondary challenges, operationally, financially and from a regulatory compliance point-of-view the core mission for healthcare providers is improving patient care. Being able to properly access and study internal and external clinical data leads to improved decision making and better patient outcomes.
The Challenges
Physicians faced challenges in understanding survival analytics for transplant surgeries. Multiple factors, some of which seem unrelated, had to be considered and measured for individual cases. In house analysts spend weeks building predictive models with multiple variables, but they recognized the limitations of their data and how they could access it. The Hospital ultimately needed an integrated data mining methodology to build accurate predictive models for survivability, and use these models to investigate the fundamental relationship between predictor variables and survivability in order to identify the relevant factors impacting cases.
Solutions
Sage Solutions Consulting partnered with the customer to build an advanced analytic solution to model the key variables that are impacting mortality rates in transplant surgery. The model utilizes regression and correlation analysis with advanced visualization techniques to help doctors and researchers identify the potential risks in individual cases. Additionally, Sage developed discrete event simulation models to validate (and to conduct sensitivity analysis on) the patterns identified by the aforementioned data mining methodologies. The secondary result was a solution that enabled the hospital to expand data intelligence to other groups like research, education and crisis response. By integrating analytics and data access, improved patient care and outcomes were achieved.
