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Is AI scribe in family medicine worth it or just overhyped? hero image

Is AI scribe in family medicine worth it or just overhyped?

Dr. Danni Steimberg's profile picture
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Question by a member of our Twofold community

“I am a family medicine physician in a busy outpatient setting, mostly 99213 and 99214 visits with some wellness exams. I see around 20 to 24 patients per day with a mix of chronic disease management, acute complaints, and preventive care. I am hearing a lot about AI scribes that claim to finish the note for me, but I am wary of cost, accuracy, privacy, and hidden work like correcting messy drafts.

What I actually care about is getting out on time, reducing after hours charting, and still having clear documentation for medical necessity, quality metrics, and possible audits. In real family medicine workflows, are AI scribes worth it or mostly overhyped marketing?”

Brief Answer

AI scribes can be very helpful in family medicine when you have high visit volume, lots of multi problem encounters, and a clear review routine. They are less helpful if your main issue is schedule design, inbox overload, or very sparse documentation expectations.

They are usually worth it if you use them to capture a short, focused clinical story and then review key sections only, instead of rewriting the entire note. They are overhyped if you expect them to magically remove all charting work without any review or adaptation of your own workflow.

The Longer Answer

Here we look at the question from four angles: where AI scribes shine, where they struggle, what the financial trade off looks like, and how to run a low risk trial.

1. Where AI scribes usually help in family medicine

Typical high value situations:

  • Many visits with three or more active problems
  • Complex polypharmacy with frequent med adjustments
  • Chronic disease management with repeated lab review
  • Clinicians who think out loud and summarize decisions in the room
  • Clinics that expect complete MDM, risk, and quality documentation

In these contexts, AI can capture your spoken reasoning and turn it into a structured note so you are editing instead of building from a blank page.

Table: Use cases where value is often clear

Scenario

How AI scribe helps

What you still do

Multi problem chronic follow up

Drafts A and P per problem, with labs and monitoring

Confirm meds, goals, and follow up timing

Same clinician, high daily volume

Keeps notes moving during the day

Quick review of meds, risk, and medical necessity

Preventive plus chronic in one visit

Separates wellness items from problem based plans

Check coding support and HM completion

Teaching or team based visits

Captures long discussions that are hard to type

Trim content and highlight final decisions

If you often spend several minutes per note reconstructing conversations, AI scribes can shift most of that time to a short review.

2. Where AI scribes tend to disappoint

AI scribes do not fix everything:

  • Overloaded templates and local policies that force very long notes
  • Schedule templates that leave no time between visits at all
  • Inbox tasks and messaging volumes that are unrelated to charting
  • Situations where you rarely verbalize reasoning or decisions

They can also disappoint if you let the model produce long narrative text that you then feel obliged to line edit. The more you ask for exhaustive detail, the more you will need to proofread.

Table: Common pitfalls

Pitfall

What it looks like

Better approach

Overly long drafts

Pages of narrative for simple acute visits

Use a short visit prompt and a slim template

Copy like notes across visits

Very similar MDM wording each time

Add visit specific vitals, labs, and functional impacts

Weak review habits

Signing without checking orders or risk language

Fixed two minute review pattern per note

Misaligned expectations

Expecting zero click or zero review charting

Aim for shorter, more focused review instead

3. Is it financially worth it

A simple way to think about value is to compare subscription cost with hours of charting saved and how you use that regained time.

Table: Rough time and cost frame

Factor

Example numbers

Patients per day

18 to 24

Minutes saved per note

3 to 6 once the workflow is dialed in

Time saved per day

About 1 to 2 hours

Time saved per month

Roughly 15 to 30 hours

Typical AI scribe cost

Similar to or less than one half day of your revenue

The value feels real if that time turns into earlier finish times, room for admin you were not doing, or space to add a few visits per week without burnout.

4. Safety, accuracy, and compliance

Non negotiables for family medicine:

  • Use a vendor that signs a Business Associate Agreement and states they are HIPAA compliant
  • Confirm how audio and text are stored, encrypted, and de identified
  • Have a standard process for late entry, corrections, and addenda
  • Keep a human in the loop: you decide what goes into the chart

For clinical accuracy, most family medicine clinicians focus their review on patient identity, medications and orders, risk and safety language, and assessment and plan per problem. The rest can usually be scanned quickly for obvious mismatches.

5. How to trial an AI scribe without disruption

A simple three week trial pattern:

  • Week 1: Use it for a subset of visits only, such as established chronic follow ups. Compare time spent per note with and without the tool.
  • Week 2: Expand to most of your schedule, keep a two minute review rule, and notice evening charting time.
  • Week 3: Adjust your prompts and templates to remove fluff and focus on problem based A and P, medical necessity, and quality metrics.

If after three weeks you are not saving at least an hour per day or you dislike the notes, it is reasonable to call it not worth it for your situation.

What Clinicians Are Saying on Reddit and Forums About Note Backlogs

Reddit
Reddit - r/FamilyMedicine

How Twofold can help: Twofold is built for high volume clinicians, including family medicine. You can capture a short summary in your own words or let Twofold listen during the visit, then it generates a structured note that matches primary care patterns, like problem based A and P, data reviewed, medications and monitoring, and patient instructions.

Comments

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All comments are reviewed by our moderators. Only comments that contribute meaningfully to the conversation will be approved and published.

You
BJ

Billy James

Family Medicine Physician

2 weeks ago

My turning point was realizing I only need to carefully read meds, risk, and plans, not every single sentence the AI writes.

AJ

Alexander Ji

M Residency Faculty

2 weeks ago

Once I trimmed my template and had AI focus on A and P per problem, notes got shorter and my review time dropped a lot.

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