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Integration of Machine Learning and Clinical Decision Support to Prevent Postoperative Delirium in Patients With Cognitive Impairment
Among patients with cognitive impairment (CI) that undergo surgery, the risk for developing postoperative delirium (POD) is high (50%) and associated with further morbidity and mortality. Yet, 30-40% of POD cases are preventable with perioperative management. This randomized pragmatic clinical trial aims to assess incidence of POD in adult surgical patients with CI, as well as provider adherence to a set of 12 perioperative best practice recommendations for perioperative management. Electronic health record (EHR) data will be used to identify patients as high risk for developing POD and clinical decision support (CDS) prompts within the EHR will display best practices. Cases will be randomized to either the control group, usual care or the intervention which includes the high-risk alert and best practice prompts.
Age
18 - 120 years
Sex
ALL
Healthy Volunteers
No
Mount Sinai Health System
New York, New York, United States
Start Date
June 20, 2023
Primary Completion Date
August 31, 2024
Completion Date
August 31, 2024
Last Updated
February 19, 2026
7,412
ACTUAL participants
Clinical Decision Support
OTHER
Lead Sponsor
Icahn School of Medicine at Mount Sinai
Collaborators
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT04123314