The promise of AI in healthcare was never simply to help physicians type faster. It was to reduce administrative burden, save time, and give physicians more attention to the patients sitting in front of them.
AI medical scribes have made meaningful progress toward that goal. Instead of typing throughout an encounter, a family physician can have a conversation with a patient while an AI scribe captures and organizes the clinical note. But the note is only one part of the work.
A patient needs to be called about an abnormal result. A medication needs clarification. A caregiver needs an update. A follow-up needs to happen by phone.
Suddenly, the physician is leaving the AI scribe, finding the patient in the EMR, locating the phone number, opening another calling application or reaching for a phone, making the call, returning to the chart, and documenting what happened.
The AI saved some typing. It didn’t necessarily simplify the workflow.
For family physicians already moving between patients, charts, labs, referrals, billing, prescriptions, messages, and follow-ups throughout the day, these small interruptions matter.
An AI scribe for family physicians should reduce fragmentation, not simply move administrative work somewhere else.
Here are three reasons built-in patient calling and telemedicine should matter when choosing an AI assistant for your practice.
1. Switching Between Your AI Scribe, EMR and Phone Breaks the Clinical Workflow
Family medicine is already an exercise in context switching. One moment you’re reviewing blood work. A few minutes later, you’re discussing a medication change. Then you’re reviewing imaging, coordinating a referral, completing documentation, or calling a patient about a result. Each task may be relatively simple on its own. The difficulty comes from doing all of them, repeatedly, across different systems.
Consider something as ordinary as a patient phone call. If your AI scribe cannot support the call from your existing clinical workflow, you may need to:
- Leave the encounter.
- Find the patient’s contact information.
- Open another application or use a separate phone.
- Dial the number.
- Have the conversation.
- Return to the patient’s EMR record.
- Document the call.
- Update the appropriate parts of the chart.
- Complete any additional follow-up.
No individual step seems particularly demanding. Do that repeatedly across a full clinic day and the experience changes. The problem isn’t only the number of clicks. It’s the attention required to continuously leave one clinical context and reconstruct it somewhere else.
This is one of the shortcomings of thinking about healthcare AI exclusively as an AI note-taking tool. The physician doesn’t need only a completed note. They need a completed encounter that is seamless.
A useful clinical AI assistant should therefore fit into the physician’s existing EMR workflow and help reduce the number of applications, tabs, and disconnected tasks required to get from the beginning of an encounter to the end.
For physicians using Med Access, this distinction becomes particularly important. Medulla AI is designed to work directly within the Med Access workflow, combining capabilities such as ambient scribing, structured charting, billing and diagnostic code suggestions, Clinical Chat, and telemedicine, all on one screen.
2. Built-In Telemedicine Can Make Physician-Patient Communication Easier
Not every clinical interaction happens during a scheduled office visit. Family physicians call patients every day. Sometimes, they call for quick clarification. Sometimes they call to follow up on imaging, check whether symptoms have changed, discuss a medication, or speak with a caregiver. These conversations are part of longitudinal primary care.
Yet the technology surrounding them can make a straightforward call surprisingly cumbersome. The patient is already in the EMR. Their contact information is already there. Their medical history is already there. The clinical context is already there. Why should the physician have to reconstruct that context in another application just to make a call?
This is where telemedicine integrated into the EMR workflow becomes more useful than treating calling as a completely separate activity. With Medulla’s phone visit workflow on Med Access, physicians can make patient calls as part of the clinical workflow rather than treating the phone conversation as something that happens outside it.
That matters for another reason too: caller identification. Physicians should not have to expose their personal phone number simply because they need to call a patient. Medulla’s telemedicine functionality in such a way that only the clinic number appears when calling the patient, helping physicians preserve their privacy and optimally improve their communication with their patients.
When calling, documentation and the patient’s clinical record live closer together, there is less work to reconcile afterward. That’s the bigger opportunity.
3. An AI Scribe That Only Writes Notes Solves Only Part of Physician Burnout
Documentation contributes to physician administrative burden. But documentation isn’t the entire problem. A family physician’s day can also include:
- Patient follow-up calls
- Referral coordination
- Reviewing investigations
- Communicating with pharmacies
- Updating structured patient records
- Billing
- Diagnostic coding
- Creating patient instructions
- Responding to clinical questions
- Coordinating ongoing care
An AI medical scribe that generates a SOAP note can certainly help. But what happens after the note? Does the physician using the note need to still do a bunch of other stuff.
If the physician still has to copy information into the EMR, update structured fields, determine billing codes, make follow-up calls using another system, and reconcile everything at the end of the day, much of the administrative burden remains. This is worrying.
The physician should leave the clinic when his or her last patient leave. Not wait 2 hours more. Not 4 hours later. This is why the new generation of healthcare AI is focusing on moving beyond transcription.
Nowadays, Physicians aren’t asking: How quickly can this AI generate my note?. They are asking: How many encounters can I actually finish while I’m still with patients?
This question is one of the philosophies behind Medulla AI.
What Should Family Physicians Look for in an AI Scribe?
There are now various Ai scribes for physicians. So, choosing one based purely on the marketing visibility or quality of its generated note or is becoming less useful.
Ask what happens after the note is generated.
Does the AI work with your EMR?
Can it help update structured patient records?
Can it support billing and diagnostic coding?
Does it understand enough of the patient’s clinical context to be genuinely useful?
Can it handle phone visits without jumping into another disconnected workflow?
Can it finish more of the encounter before moving on to the next patient?
And perhaps most importantly:
Does using the AI result in less work waiting for you at the end of the clinic day?
That is the test that matters.
The Best AI Scribe Should Help You Finish the Encounter
Family physicians don’t need another piece of software demanding their attention.They need fewer interruptions. Fewer tabs. Fewer repetitive tasks. Fewer pieces of an encounter left unfinished. Patient communication is part of medicine. It shouldn’t sit outside the workflow simply because traditional AI scribes were designed primarily to generate notes.
For Med Access physicians, Medulla AI is the right AI to use. It takes a broader approach. It brings Direct EMR Ambient Scribing, 1-click Autocharting, billing and diagnostic code suggestions, Clinical Chat, and Phone Visits into a more connected and improved workflow.
Charting done before the patient leaves the room.
Medulla works inside Med Access and Oscar-based EMRs, on the encounter you already have open.
No credit card required.