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Impact of Predictive Modeling on Time to Palliative Care in an Outpatient Primary Care Population

Palliative Care Clinical Trial

Official title:
Impact of Predictive Modeling on Time to Palliative Care in an Outpatient Primary Care Population

Clinical Trial Summary

A machine learning algorithm will be used to accurately identify patients in certain primary care units who may benefit from palliative care consults.

Clinical Trial Description

A machine learning algorithm will be used to accurately identify patients in certain primary care units who may benefit from palliative care consults. These patients will be presented weekly to a palliative care specialist in a custom user interface. The palliative care specialist will reach out to primary care teams if she determines that the patient would benefit from palliative care. If the primary care provider agrees, he/she would write a palliative care consult order for the patient. The goal is to reduce the time to palliative care for these patients, who may not have been identified as quickly without the algorithm. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04604457
Study type Interventional
Source Mayo Clinic
Contact
Status Completed
Phase N/A
Start date August 31, 2020
Completion date May 31, 2021
View Details
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