NCT02828475

CALYPSO Pilot Study: Machine Learning Based Predictions of Surgical Complications

Pilot Study for a Clinical Analytical Platform for Surgical Outcomes

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 200 (actual)
• Sponsor: Duke University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

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

Detailed description

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.

Conditions

• Complication of Surgical Procedure
• Postoperative Infection

Interventions

Type	Name	Description
OTHER	CALYPSO	Software platform of machine-learning based predictive models of surgical complication.
BEHAVIORAL	Standard Care	Previous standard of care based on surgeon judgement alone.

Timeline

• Start date: 2016-06-01
• Primary completion: 2017-01-01
• Completion: 2017-02-01
• First posted: 2016-07-11
• Last updated: 2018-07-03

Locations

1 site across 1 country: United States