Geisinger Case StudyDOWNLOAD CASE STUDY
Geisinger immediately began the process of archiving and processing its 30 terabytes of patient data from Teradata into HDP. For most organizations, especially those in healthcare, the associated storage costs are a prohibitive factor. Geisinger, however, was able to save $2 million in EDW replacement costs and $500,000 in annual maintenance costs by eliminating the need to continue and expand its EDW platform.
After Geisinger successfully on-boarded its structured data, attention turned to its unstructured data. A vast trove of medical records and doctor notes came into HDP in non-structured text format, but then had to be queried. With HDP, Geisinger now runs queries on its unstructured data to derive analytical insights. clinicians and non-clinicians are able to search through 200 million patient note records in seconds to find relevant conditions and medications, which helps them analyze the success of treatments, identify areas of improvement, and determine ways to save time and money for both patients and providers.