23 MINAI Medical Scribes Inside Your EHR: Less Burnout, More Time
Clinician burnout isn’t abstract—it’s providers missing dinner with their families because they’re still documenting patient visits at 8 p.m. Hannah Abrams, who leads product marketing for Tebra’s clinical team, and Cait Batzinger, principal product manager, explain how the company’s new AI Note Assist feature addresses the documentation burden that drives 83% of physician burnout.
The conversation centers on three practical realities. First, the tool was designed to work inside the EHR, not as another standalone product requiring copy-and-paste workflows that reintroduce errors and waste time. Second, early users report cutting documentation time from 30–60 minutes per note to under five minutes, with one provider saying she “got to go home early” and another postponing retirement because the tool restored what she loved about practicing medicine. Third, Batzinger addresses accuracy and privacy head-on: transcripts are destroyed after a week, HIPAA protections mirror standard documentation, and patient consent requirements vary by state—though most patients appreciate their providers making eye contact instead of typing.
The episode offers a grounded look at what AI documentation actually does in daily practice, why it’s built into Tebra’s EHR rather than bolted on, and how custom note types are shaping the product roadmap based on real provider feedback.
- Integrated AI scribes that live inside the EHR remove the copy-paste step that erodes time savings and introduces errors—prioritize embedded solutions over standalone tools.
- Beta clinicians slashed documentation from 30–60 minutes to under five minutes, turning after-hours note work into same-day sign-off for many visits.
- At $99/provider per month or $0.99 per note, run a quick breakeven: compare saved clinician after-hours time (or overtime pay) to the subscription cost to decide between per-note and unlimited plans.
- Transcripts are retained ~1 week for troubleshooting then destroyed and resulting notes persist like normal EHR entries—confirm state consent requirements and implement one consistent verbal/written consent script across your staff.
- The workflow scores high for ease-of-use and is point-and-click, so pilot it with your highest-burden clinicians and use a short training session to accelerate adoption and demonstrate emotional ROI.
- Custom note types are the next priority—submit your specialty templates and real-world feedback now via the in-product banner, CS rep, or NPS to ensure the tool fits your audit and documentation requirements.
Hannah Abrams leads product marketing for Tebra's clinical team and helped bring the company's AI Note Assist feature to life. In this episode, she sets the context around clinician burnout and documentation burden, shares early provider feedback, and guides the discussion on how integrated AI can help clinicians get time back and stay more present with patients
In this episode, she explains the product's build process and early results, including usability and documentation time savings, and addresses accuracy, data privacy, and patient-consent considerations. She also outlines how clinician feedback is shaping the roadmap, including plans for custom notes.
