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Telemedicine Notifications With Machine Learning for Postoperative Care

NCT03974828 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2026-05-12

No results posted yet for this study

Summary

The ODIN-Report study will be a randomized controlled trial of the effect of providing machine learning risk forecasts to providers caring for patients immediately after surgery on serious complications. The complications studied will be ICU admission or death on wards, acute kidney injury, and hospital length of stay.

Conditions

  • Surgery--Complications
  • Perioperative/Postoperative Complications
  • Acute Kidney Injury
  • Hospital Mortality

Interventions

DEVICE

Anesthesia Control Tower Notification

Real-time data will be monitored through the AlertWatch system as well as the electronic health record. Risk forecasts of adverse events (30 day mortality, acute kidney injury, postoperative delirium, respiratory failure), PACU length of stay, and hospital length of stay will be generated by a machine learning algorithm. Additional outputs identifying the most important predictors and their effects will be combined with risk forecasts to form a report card.

Sponsors & Collaborators

  • Washington University School of Medicine

    lead OTHER

Principal Investigators

  • Christopher R King, MD, PhD · Washington University School of Medicine

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-10-06
Primary Completion
2025-10-06
Completion
2025-10-06
FDA Device
Yes

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03974828 on ClinicalTrials.gov