Ignite Creation Date:
2025-12-24 @ 6:35 PM
Ignite Modification Date:
2025-12-29 @ 6:21 AM
Study NCT ID:
NCT04604457
Status:
COMPLETED
Last Update Posted:
2021-06-16
First Post:
2020-10-14
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Impact of Predictive Modeling on Time to Palliative Care in an Outpatient Primary Care Population
Sponsor:
Mayo Clinic
Organization:
Study Overview
Official Title:
Impact of Predictive Modeling on Time to Palliative Care in an Outpatient Primary Care Population
Status:
COMPLETED
Status Verified Date:
2021-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
A machine learning algorithm will be used to accurately identify patients in certain primary care units who may benefit from palliative care consults.
Detailed 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 Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: