CALYPSO Pilot Study: Machine Learning Based Predictions of Surgical Complications

Duke University200 enrolled

Overview

This is a pilot study of surgical patients whose postoperative care will be augmented with a personalized risk prediction platform (CALYPSO app).

CALYPSO is a software platform that uses machine learning techniques to create personalized risk predictions for postoperative complications. Individual risk factors are then linked to best-practice interventions tailored to the individual patient. The investigator aims to test the hypothesis that using CALYPSO-augmented postoperative care will reduce complication rates in patients undergoing elective general surgery. Subjects undergoing surgery will be assigned to the CALYPSO intervention in the postoperative period.

Study Type

OBSERVATIONAL

Enrollment

200

Conditions

Complication of Surgical Procedure Postoperative Infection

Interventions

CALYPSOOTHER

Software platform of machine-learning based predictive models of surgical complication.

Standard CareBEHAVIORAL

Previous standard of care based on surgeon judgement alone.

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * \>18 years of age * Undergoing elective surgery * Undergoing high risk colon, rectal, pancreas, gastric surgery with predicted length of stay greater or equal to 3 days Exclusion Criteria: * Surgeries with less than 3 days of anticipated length of stay (e.g. stoma takedown)

Locations (1)

Duke University Medical Center

Durham, North Carolina, United States