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Ambient AI Clinical Trial

22 de maio de 2026 atualizado por: Chris Lewis, University of Washington

Evaluation of Abridge Ambient AI Technology Regarding Provider Burnout and Patient Satisfaction With the Clinical Encounter

This is a single-site pragmatic randomized control trial studying the effect of ambient artificial intelligence (AI) scribes on the delivery of medical care to patients in the ambulatory setting. The study will last 150 days and include up to 65 providers in the intervention group. Providers will be recruited from three medical specialties, including primary care, oncology, and urology. The study will enroll providers and randomize them to an intervention group (access to the ambient AI scribe product) or a control group (routine patient care). Providers will be evaluated for burnout and task load measures through digital surveys at the beginning, middle, and end of the study. Provider electronic health record (EHR) usage data will also be evaluated for time spent documenting, time spent after hours on days with scheduled clinical care, and time between the start of the clinical encounter and signing it.

Visão geral do estudo

Status

Concluído

Condições

Intervenção / Tratamento

Tipo de estudo

Intervencional

Inscrição (Real)

139

Estágio

  • Não aplicável

Contactos e Locais

Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.

Locais de estudo

  • Estados Unidos
    • Washington
      • Seattle, Washington, Estados Unidos, 98195
        • University of Washington Medical Center

Critérios de participação

Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.

Critérios de elegibilidade

Idades elegíveis para estudo

  • Adulto
  • Adulto mais velho

Aceita Voluntários Saudáveis

Não

Descrição

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).

Plano de estudo

Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.

Como o estudo é projetado?

Detalhes do projeto

  • Finalidade Principal: Pesquisa de serviços de saúde
  • Alocação: Randomizado
  • Modelo Intervencional: Atribuição Paralela
  • Mascaramento: Nenhum (rótulo aberto)

Armas e Intervenções

Grupo de Participantes / Braço
Intervenção / Tratamento
Experimental: 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.
Outro: Use of Ambient AI scribe tool on participant's mobile device

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.

Outros nomes:
  • Resumir
Sem intervenção: 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).

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Descrição da medida
Prazo
Professional Fulfillment Index (PFI)
Prazo: Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
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).
Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
Mean Score on NASA Task Load Index (NASA-TLX)
Prazo: Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
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.
Surveyed at enrollment (day 0 of pilot), midpoint (day 75), and end of pilot (day 150)
Ambient AI scribe utilization rate (%)
Prazo: Through study completion, up to 150 days after the start of the pilot.
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.
Through study completion, up to 150 days after the start of the pilot.

Medidas de resultados secundários

Medida de resultado
Descrição da medida
Prazo
Time Spent in the Electronic Health Record on Clinical Note Documentation (Minutes)
Prazo: Through study completion, up to 150 days after the start of the pilot.
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.
Through study completion, up to 150 days after the start of the pilot.
Time spent in the electronic health record outside of working hours
Prazo: Through study completion, up to 150 days after the start of the pilot.
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.
Through study completion, up to 150 days after the start of the pilot.

Colaboradores e Investigadores

É aqui que você encontrará pessoas e organizações envolvidas com este estudo.

Patrocinador

University of Washington

Investigadores

  • Investigador principal: Christopher W Lewis, MD, MS, University of Washington

Datas de registro do estudo

Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados ​​pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.

Datas Principais do Estudo

Início do estudo (Real)

19 de dezembro de 2024

Conclusão Primária (Real)

4 de julho de 2025

Conclusão do estudo (Real)

4 de julho de 2025

Datas de inscrição no estudo

Enviado pela primeira vez

27 de abril de 2026

Enviado pela primeira vez que atendeu aos critérios de CQ

13 de maio de 2026

Primeira postagem (Real)

20 de maio de 2026

Atualizações de registro de estudo

Última Atualização Postada (Real)

28 de maio de 2026

Última atualização enviada que atendeu aos critérios de controle de qualidade

22 de maio de 2026

Última verificação

1 de maio de 2026

Mais Informações

Termos relacionados a este estudo

Palavras-chave

Termos MeSH relevantes adicionais

Outros números de identificação do estudo

  • STUDY00022081

Plano para dados de participantes individuais (IPD)

Planeja compartilhar dados de participantes individuais (IPD)?

SIM

Descrição do plano IPD

All participant data will be deidentified (limited dataset), aggregated, or normalized. Data will be managed and stored on Dryad (https://datadryad.org/), a nonprofit membership organization that is committed to making data available for research and educational reuse.

Prazo de Compartilhamento de IPD

Data will be available for at least 10 years.

Critérios de acesso de compartilhamento IPD

Data will be shared with qualified researchers whose proposed use has been approved by an institutional review board. Request for deidentified data will be available through Dryad. Requests for additional data can be made to the study's PI.

Tipo de informação de suporte de compartilhamento de IPD

  • PROTOCOLO DE ESTUDO

Informações sobre medicamentos e dispositivos, documentos de estudo

Estuda um medicamento regulamentado pela FDA dos EUA

Não

Estuda um produto de dispositivo regulamentado pela FDA dos EUA

Não

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