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Ambient AI Clinical Trial
Evaluation of Abridge Ambient AI Technology Regarding Provider Burnout and Patient Satisfaction With the Clinical Encounter
Studie Overzicht
Toestand
Interventie / Behandeling
Studietype
Inschrijving (Werkelijk)
Fase
- Niet toepasbaar
Contacten en locaties
Studie Locaties
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Washington
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Seattle, Washington, Verenigde Staten, 98195
- University of Washington Medical Center
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
- Volwassen
- Oudere volwassene
Accepteert gezonde vrijwilligers
Beschrijving
Inclusion Criteria:
- Provider is an employee of the University of Washington Medicine.
- Clinical specialty of primary care, oncology, or urology.
- Clinical full-time equivalent (FTE) of 0.2 or greater (provider must have an outpatient clinic of at least 20% of an FTE).
- Provider is a physician or an advanced practice provider.
Exclusion Criteria:
- Trainees (e.g., medical students, residents, or fellows)
- Provider does not have access to a mobile device that is compatible with the ambient AI scribe service (e.g., Android mobile phone).
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Onderzoek naar gezondheidsdiensten
- Toewijzing: Gerandomiseerd
- Interventioneel model: Parallelle opdracht
- Masker: Geen (open label)
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
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Experimenteel: Ambient AI scribe users
Participants in this arm will utilize the ambient AI scribe tools from Abridge.
They will otherwise continue their usual clinical activities, including providing care with trainees (e.g., medical students, residents) and multiple family members in the room.
The tool will be used exclusively in the outpatient clinical setting and only when the participant is present.
The ambient AI scribe tool integrates into the electronic health record (EHR), and the EHR's mobile app is used to collect the recording on a mobile device.
The ambient AI scribe tool is transcriptional and does not provide clinical decision support.
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Ambient artificial intelligence (AI) scribes are a clinical documentation tool that uses automated speech recognition and large-scale language models to capture and transcribe synchronous patient-provider encounters in real time. Clinicians then review, edit, and authorize the AI-generated text before finalizing the chart, ensuring necessary human oversight and medical accuracy. In this study, participants used Ambient AI scribes on mobile devices for the recordings. The ambient AI scribe will be available for the provider to use in the outpatient setting. They were not required to use the Ambient AI scribe, but could choose whether to use it and with which patients. Consent to use the device was documented for all patient encounters.
Andere namen:
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Geen tussenkomst: Routine patient care (no AI scribe)
These participants were not provided with the ambient AI scribe application on their mobile device.
They still had access to documentation with dictation or existing scribe services (non-AI).
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Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Professional Fulfillment Index (PFI)
Tijdsspanne: Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
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Change in professional fulfillment and burnout, measured using the Professional Fulfillment Index (PFI), a validated 16-item self-report questionnaire.
The instrument comprises three subscales: Professional Fulfillment (6 items), Work Exhaustion (4 items), and Interpersonal Disengagement (6 items).
Items are rated on a 5-point Likert scale (0 = "Not at all true" / "Not at all" to 4 = "Completely true" / "Extremely").
Subscale scores are calculated as the mean of constituent items.
Unit of measure: mean subscale score (range 0-4) and overall burnout score (mean of Work Exhaustion and Interpersonal Disengagement subscales, range 0-4).
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Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
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Mean Score on NASA Task Load Index (NASA-TLX)
Tijdsspanne: Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
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Change in perceived workload, measured using the NASA Task Load Index (NASA-TLX), a validated multidimensional self-report questionnaire.
The instrument comprises six subscales: Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, and Frustration.
Each subscale is rated on a 0-100 scale in 5-point increments.
Unit of measure: subscale score (range 0-100) and overall workload score, calculated as the unweighted mean of the six subscales (range 0-100).
Higher scores indicate greater perceived task workload associated with clinical documentation.
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Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
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Ambient AI scribe utilization rate (%)
Tijdsspanne: Through study completion, up to 150 days after the start of the pilot.
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Percentage of clinical encounters in which the provider used the Abridge ambient AI scribe, measured using Abridge platform usage logs cross-referenced with electronic health record (EHR) encounter data.
Unit of measure: utilization rate, calculated as (number of encounters in which Abridge was used divided by the total number of clinical encounters during the same period).
This fraction is then represented as a percentage (range 0-100%) and aggregated monthly by provider.
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Through study completion, up to 150 days after the start of the pilot.
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Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Time Spent in the Electronic Health Record on Clinical Note Documentation (Minutes)
Tijdsspanne: Through study completion, up to 150 days after the start of the pilot.
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Time spent by the provider in the electronic health record on clinical note documentation activities, measured using EHR audit log data (e.g., Epic Signal Provider Efficiency Profile).
Unit of measure: minutes per scheduled clinic day on note documentation, normalized to clinical workload (clinical Full-Time Equivalent), and aggregated in 4-week windows per provider.
No patient information will be collected for this outcome measure.
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Through study completion, up to 150 days after the start of the pilot.
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Time spent in the electronic health record outside of working hours
Tijdsspanne: Through study completion, up to 150 days after the start of the pilot.
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Time spent by the provider in the electronic health record outside of scheduled clinic/working hours (commonly referred to as "work outside of work" or "pajama time"), measured using EHR audit log data (e.g., Epic Signal Provider Efficiency Profile).
Unit of measure: minutes per scheduled clinic day spent in the EHR outside of working hours, normalized to clinical workload and aggregated in 4-week windows per provider.
No patient information will be collected for this outcome measure.
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Through study completion, up to 150 days after the start of the pilot.
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Medewerkers en onderzoekers
Sponsor
Onderzoekers
- Hoofdonderzoeker: Christopher W Lewis, MD, MS, University of Washington
Studie record data
Bestudeer belangrijke data
Studie start (Werkelijk)
Primaire voltooiing (Werkelijk)
Studie voltooiing (Werkelijk)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- STUDY00022081
Plan Individuele Deelnemersgegevens (IPD)
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Beschrijving IPD-plan
IPD-tijdsbestek voor delen
IPD-toegangscriteria voor delen
IPD delen Ondersteunend informatietype
- LEERPROTOCOOL
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