AI News
31 Dec 2025
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How AI medical scribe for doctors frees 10+ hours weekly
AI medical scribe for doctors reduces admin work and gives physicians more than 10 extra hours weekly.
An AI medical scribe for doctors can free more than 10 hours each week by turning visit conversations into polished notes, orders, and follow-ups. It listens, drafts, and files in the EHR so clinicians can focus on patients, not paperwork. Here’s how one ex-doctor built it—and how your clinic can benefit.
Dr. Thomas Kelly trained as a doctor, saw the limits of 10-minute visits, and burned out under paperwork. He left medicine to build Heidi, a tool that listens to the visit and drafts the note. Backed by a recent $65 million Series B that values the company at about $465 million, the story shows how smart software can take back time for care.
Transcribes the visit and summarizes key findings
Drafts SOAP notes and visit summaries
Suggests ICD-10 and CPT codes for review
Preps orders, referrals, and follow‑up reminders
Generates patient instructions and after‑visit summaries
Routes messages and tasks to the right inbox or team
This lets the clinician spend more time looking at the patient, not the screen, and finish documentation faster.
2017: Kelly becomes a doctor, sees time pressure first-hand
2018–2020: Builds “Oscar,” an AI interview tutor for med applicants
2021: Leaves clinical training to found Heidi
2025: Raises a $65 million Series B; company valuation reaches about $465 million
Heidi’s goal is simple: turn the visit conversation into reliable documentation and reduce the admin load that drains doctors. The company says its system helps clinicians create notes, tasks, and follow-ups with fewer clicks and less after-hours work.
Save 10+ hours per week across clinic and after-hours time
Close notes the same day instead of late at night
Increase eye contact and rapport during visits
Reduce burnout and turnover risk
Improve coding completeness and visit consistency
An AI medical scribe for doctors like Heidi focuses on routine admin so the doctor can keep attention on clinical thinking.
Accurate speech recognition in noisy rooms
Specialty‑aware templates and terminology
One‑click EHR integration and smart macros
Transparent drafts that show source sentences
Strong privacy controls and audit trails
Human‑in‑the‑loop final sign‑off by the clinician
End‑to‑end encryption in transit and at rest
Access controls with SSO and MFA
Data minimization and retention controls
BAA in the U.S. and adherence to HIPAA
Regional data hosting to meet local laws
Pilot with a small team across two or three specialties
Measure baseline: after-hours time, days to close notes, note length and quality
Start with low‑risk visit types, then expand
Create quick‑hit templates for common complaints
Train staff on consent, mic placement, and review workflow
Collect weekly feedback and update prompts or templates
An AI medical scribe for doctors is most effective when leaders set clear goals and share time‑savings data with the whole team.
Hallucinations: require clinician review and include citations to the transcript
Over‑documentation: keep notes concise; avoid unnecessary detail
Bias and fairness: monitor outputs across patient groups
Consent: inform patients and provide an easy opt‑out
Downtime: have a manual backup for notes if systems fail
Why time and burnout forced a change
Kelly grew up in Melbourne and admired his family doctor. He went to medical school, worked hard, and entered practice. Then reality hit: short visits, long task lists, and constant rushing. He wanted to know patients better but spent hours clicking and typing after clinic. He started a side project that used AI to role‑play medical interviews for students. It worked well and reached tens of thousands of users. He realized the same idea could support real clinic visits. In 2021, he chose to pause surgery training and build Heidi full-time.How an AI medical scribe for doctors works
From conversation to clinical note
The tool records the visit with patient consent, turns speech into text, and structures it into a draft note. It uses the doctor’s style, adds sections like history, exam, assessment, and plan, and prepares the note in the EHR. The clinician reviews and signs off.Tasks it can automate
The Heidi story: from tutoring tool to $465 million startup
Proven benefits you can measure
Clinics that adopt AI scribes often report strong gains. Actual results vary by specialty and workflow, but these are common wins:Choosing the right solution for your practice
Key features to look for
Security and compliance must-haves
Rollout tips to win clinician trust
Risks and guardrails to keep in place
What this means for patients
When the doctor types less, the visit feels calmer. Patients get clearer plans and instructions. Follow‑ups happen on time. Documentation improves handoffs across teams. The result is a simpler, safer patient experience—without changing the core of the doctor‑patient conversation.The bottom line on an AI medical scribe for doctors
The right tool can turn clinic chatter into clean notes, orders, and tasks, freeing more than 10 hours a week and cutting after-hours work. Kelly’s journey from clinic to code shows why this shift is here to stay: an AI medical scribe for doctors reduces admin pain so real care can take center stage.(Source: https://www.cnbc.com/2025/12/24/he-left-medicine-to-build-an-ai-tool-now-its-worth-460-million.html)
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FAQ
Q: What is an AI medical scribe for doctors and how does it work?
A: An AI medical scribe for doctors records visits with patient consent, transcribes speech to text, structures the conversation into sections like history, exam, assessment and plan, and drafts a note in the EHR. The clinician reviews the transparent draft, makes edits as needed, and signs off.
Q: How much time can an AI medical scribe for doctors save clinicians each week?
A: An AI medical scribe for doctors can free more than 10 hours each week by turning visit conversations into polished notes, orders and follow‑ups. It can also help close notes the same day and reduce after‑hours documentation burden.
Q: What administrative tasks can an AI medical scribe for doctors automate?
A: Common automations include transcribing visits and summarizing key findings, drafting SOAP notes and visit summaries, suggesting ICD‑10 and CPT codes, prepping orders, referrals and follow‑up reminders, generating patient instructions, and routing messages or tasks. These automations let clinicians focus more on the patient rather than on paperwork.
Q: Why did Dr. Thomas Kelly leave medicine to build an AI medical scribe for doctors?
A: Kelly experienced burnout from constrained 10‑minute visits, heavy paperwork and long after‑hours work, which motivated him to seek a different solution. He had built an AI interview tutor called Oscar for medical students and in 2021 took a career break to found Heidi and build an AI medical scribe for doctors to reduce documentation burden.
Q: What features should practices look for when choosing an AI medical scribe for doctors?
A: Key features include accurate speech recognition in noisy rooms, specialty‑aware templates and terminology, one‑click EHR integration and smart macros, transparent drafts that show source sentences, strong privacy controls and audit trails, and human‑in‑the‑loop final sign‑off by the clinician. These features help the tool fit clinical workflows and maintain clinician oversight.
Q: What security and compliance measures are necessary for an AI medical scribe for doctors?
A: Security must‑haves include end‑to‑end encryption in transit and at rest, robust access controls with SSO and MFA, data minimization and retention controls, a BAA in the U.S. and adherence to HIPAA, and regional data hosting where required. Practices should confirm these controls with vendors before deployment to protect patient data.
Q: What risks should clinicians guard against when using an AI medical scribe for doctors?
A: Risks include model hallucinations that require clinician review and citation to the transcript, over‑documentation that increases note length, bias across patient groups, consent and opt‑out issues, and downtime that necessitates manual backups. Guardrails such as clinician sign‑off, monitoring outputs, clear consent procedures and a manual fallback workflow help mitigate these risks.
Q: How should a clinic roll out an AI medical scribe for doctors to gain clinician trust?
A: Start with a small pilot across two or three specialties, measure baseline metrics like after‑hours time and days to close notes, begin with low‑risk visit types and create quick templates for common complaints. Train staff on consent, mic placement and review workflow, collect weekly feedback and expand based on measured time‑savings and clinician input.
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