Ignite Creation Date:
2024-10-26 @ 3:40 PM
Last Modification Date:
2024-10-26 @ 3:40 PM
Study NCT ID:
NCT06605976
Status:
COMPLETED
Last Update Posted:
None
First Post:
2024-09-18
Brief Title:
Evaluating the Impact of Ambient AI on Documentation Efficiency and Clinician Burnout in Primary Care Settings
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Evaluating the Impact of Ambient AI on Documentation Efficiency and Clinician Burnout in Primary Care Settings
Status:
COMPLETED
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This clinical trial aims to evaluate the effectiveness of an ambient listening AI product DAX CoPilot in improving clinical documentation efficiency and reducing clinician burnout in primary care settings Researchers will compare results from a group who was given a license to use DAX CoPilot to a group who was not given a license Participants in the DAX group will use DAX CoPilot system for EHR documentation and participants in the control group will use use standard EHR documentation methods Participants will also be asked to complete surveys and assessments related to their views on technology and experiences of burnout
Detailed Description:
This pilot study aims to evaluate the effectiveness of an ambient listening AI product in improving clinical documentation efficiency and patient satisfaction reducing clinician burnout in primary care settings and improving operational implementation strategies by harnessing end-user psychology Employing a randomized prospective design the study involved 25 clinicians who were given an ambient listening AI product DAX CoPilot after a 1 month baseline period and asked to use it for clinical documentation with a focus on problem-focused visits over a 3-month period with a control group of 20 clinicians continuing traditional documentation methods The primary outcomes include changes in documentation efficiency measured through metrics such as time spent on documentation per patient and clinician burnout assessed using the validated Mini-Z 20 burnout inventory Secondary outcomes involve patient satisfaction with clinicians use of the AI tool and examining end-user technology acceptance among clinicians using a survey based on the Unified Theory of Acceptance and Use of Technology UTAUT The study aims to provide insights into the potential of AI-assisted documentation tools in enhancing clinical workflow and addressing the growing concern of clinician burnout
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None