Quest
228 Case Studies
A Quest Case Study
The University of Iowa Hospitals and Clinics faced the challenge of using increasingly diverse and fast-moving patient data to improve outcomes in the operating room. Clinicians needed a way to merge historical and live patient information, make real-time predictions during surgery, and reduce surgical site infections while controlling costs.
Using Statistica, the surgical team ran predictive models from mobile apps and web browsers to personalize care and predict patients’ susceptibility to infection in real time. The solution cut surgical site infections by 58% and lowered hospital costs by enabling actionable, bedside analytics that integrate historical and live data.
John Cromwell
Director of Gastrointestinal Surgery