MedTrace Logo

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

NCT04604457 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 127070

Last updated 2021-06-16

No results posted yet for this study

Summary

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

Conditions

  • Palliative Care

Interventions

OTHER

Palliative care contacts primary care

Palliative care specialist reaches out to primary care to recommend a palliative care consult. If the primary care provider agrees, he/she will write an order for a palliative care consult.

Sponsors & Collaborators

Principal Investigators

  • Rachel Havyer, MD · Mayo Clinic

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-08-31
Primary Completion
2021-05-31
Completion
2021-05-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

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 NCT04604457 on ClinicalTrials.gov