Predictive Health Care Management

The Client

Major U.S. Hospital

The ChallengeUseCase1

A major U.S. Hospital had an enterprise data warehouse that was not integrated with their patient history database. The current system also did not provide flexible access to patient-level data for physicians, administrators and clinical managers. The situation led to a large amount of data not being utilized for research and health outcomes insight.

The Solution

  • Developed a comprehensive patient platform for physicians, administrators and clinical managers connecting disparate data sources.
  • Designed dashboards to provide an interface for physicians to interact with the data
  • Utilized predictive models to measure risk of Cancer reoccurrence and survivorship. This was based on patterns found in patient data.

The Approach

  • Utilized onsite/offshore delivery model to contain cost
  • Installed SAP RDP Connection to BOE/DS Server
  • Built Business Objects Core Components (IDT, Webi, Explorer)
  • Installed R Integration / Predictive Analytics
  • Utilize SAP HANA to combine treatment, procedure, demographics in one data model
  • Defined the queries required to build the dashboards and WebI reports
  • Built and deployed the dashboards and WebI reports, breast cancer survivorship and recurrence predictive models