List of Tebra AI Note Assist Customers
Corona Del Mar, 92625, CA,
United States
Since 2010, our global team of researchers has been studying Tebra AI Note Assist customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Tebra AI Note Assist for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Tebra AI Note Assist for Chatbots and Conversational AI include: Daisy Family Health, a United States based Healthcare organisation with 10 employees and revenues of $1.0 million, Daisy Family Health Care United States, a United States based Healthcare organisation with 10 employees and revenues of $1.0 million, Beaumont WELLness for Women, a United States based Healthcare organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Tebra AI Note Assist, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Beaumont WELLness for Women | Healthcare | 10 | $1M | United States | Tebra Technologies | Tebra AI Note Assist | Chatbots and Conversational AI | 2025 | n/a |
In 2025 Beaumont WELLness for Women implemented Tebra AI Note Assist to generate structured clinical notes and suggest ICD-10 codes directly inside the clinic EHR. Tebra AI Note Assist is deployed as a Chatbots and Conversational AI application embedded in clinician workflows to support clinical documentation and coding at the outpatient women's health clinic in Beaumont Texas.
The implementation centers on automated clinical note generation and ICD-10 suggestion capabilities, with configuration of note templates and structured fields to align with the practice's documentation standards. Tebra AI Note Assist is configured to surface draft notes and code suggestions inline during charting, reducing manual transcription and enabling consistent use of structured problem lists and encounter summaries.
Integration was executed inside the existing EHR interface so clinicians interact with the assistant without switching systems, preserving the primary charting workflow. Operational scope covers providers and front-line clinical staff in the single-site clinic, and the solution directly supports clinical documentation, coding, and billing intake functions.
Governance emphasizes clinician review and sign-off of AI-generated content to maintain clinical accuracy and coding compliance, with rollout focused on provider adoption and iterative template tuning. Providers reported faster chart completion and improved note quality, enabling more time for patient care and operational efficiency in the clinic.
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Daisy Family Health | Healthcare | 10 | $1M | United States | Tebra Technologies | Tebra AI Note Assist | Chatbots and Conversational AI | 2025 | n/a |
In 2025 Daisy Family Health implemented Tebra AI Note Assist as an ambient documentation capability embedded in Tebra’s EHR platform, adopting the solution classified as Chatbots and Conversational AI for clinical documentation workflows. The deployment targeted independent practice clinical workflows and aimed to reduce manual note-taking burden while preserving provider control over final charting decisions.
Tebra AI Note Assist was configured to capture visit audio, generate structured, editable clinical notes, and support multiple documentation formats including SOAP, Therapy Initial and Progress, and Psychiatric notes. The application includes automated ICD-10 code suggestions and a review, edit, and approve workflow so providers retain clinical oversight, with the full application described as HIPAA-compliant and clinically validated for accuracy.
The implementation is delivered as a native capability within Tebra’s EHR platform, requiring no additional hardware or software installations and integrating directly into existing clinical encounters by listening during patient visits to produce draft notes. The operational scope described is provider-facing clinical documentation in independent practice settings, available immediately to Tebra customers through their existing platform.
Governance and rollout emphasized clinician validation and edit controls, with extensive validation performed with practicing providers to ensure reliability in real-world settings. Outcomes stated by the vendor and early adopters include up to a 50 percent reduction in documentation time, provider reports of substantially shorter note completion times, and expectations that the tool will reclaim provider time and reduce administrative workload for independent practices.
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Daisy Family Health Care United States | Healthcare | 10 | $1M | United States | Tebra Technologies | Tebra AI Note Assist | Chatbots and Conversational AI | 2025 | n/a |
In 2025, Daisy Family Health Care in Avondale, Arizona implemented Tebra AI Note Assist to automate clinical documentation within the Tebra EHR. The deployment uses Chatbots and Conversational AI capabilities in Tebra AI Note Assist to accelerate SOAP note creation and reduce after-hours charting for a small primary care practice environment.
The implementation focused on clinical note automation, embedding the Tebra AI Note Assist application into standard encounter workflows to draft and structure SOAP and clinical notes. Configuration emphasized template-driven note generation and contextual summarization aligned with provider documentation patterns, preserving clinician review and signoff workflows.
Integration work centered on the native Tebra EHR connection, keeping patient context, encounter metadata, and charting audit trails inside the single-platform EHR. Operational coverage began with early adopters among clinicians at the Avondale site, with clinician feedback used to iteratively adjust prompt templates and review procedures.
Early adopters reported completing notes in under five minutes and reclaiming provider time, which improved clinician satisfaction and increased patient-facing time while reducing after-hours charting. The Daisy Family Health Care Tebra AI Note Assist Chatbots and Conversational AI deployment therefore centers on clinical documentation efficiency, provider workflow relief, and in-clinic adoption governance.
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