We built an AI scribe that listens during the patient visit and drafts a structured clinical note. The provider reviews and approves the note before it reaches the health record.
Client: PrimeCare NetworksIndustry: HealthcareService: AI & Automation
Overview
Client
PrimeCare Networks
Multi-specialty hospital
Engagement snapshot
The challenge
Providers spent a large share of their time typing notes during visits or finishing documentation after the working day.
That cut into face-to-face time with patients, added to burnout, and meant documentation speed limited how many patients each clinician could see.
Charting after hours was eating into clinicians' personal time.
Documentation limited how many patients could be seen without a longer working day.
Writing notes later made it more likely that small but important details were forgotten.
The solution
The system processes the clinical conversation during the visit and doesn't keep audio it no longer needs once the note is created.
AI sorts the relevant clinical information into the hospital's standard note sections and templates.
The clinician reviews, edits and approves the note before it becomes part of the medical record.
Key features
An ambient AI scribe captures the consultation and drafts a structured note in the hospital's EHR template.
Business impact
65% less documentation time
Audio no longer needed is deleted, and the clinician reviews, edits and approves every note before it is filed.
Business impact
Every note reviewed before filing
The AI separates clinically relevant information from general conversation and lays it out in the expected note format.
Business impact
65% less documentation time
Audio and patient information go through a controlled workflow designed around healthcare privacy needs.
Business impact
Safer use of AI in clinics
Clinicians decide what is finally signed and added to the medical record.
Business impact
Notes checked by a clinician
Before and after
Before
Typed during or after the visit
Providers typed notes while seeing the patient or later in the day.
After
Ambient draft
The visit conversation becomes a draft note for the provider to review.
Before
More manual handling
Documentation meant several tools and manual steps.
After
A controlled clinical workflow
The note follows a defined, secure path into the health record.
Before
Hours later
Notes could stay unfinished long after the appointment ended.
After
Ready after the visit
The draft is ready for review as soon as the appointment is over.
Results
15,000+ Annual Hours Recovered
Ambient drafting cut documentation time by 65%. Across the hospital, that recovers more than 15,000 hours a year that clinicians used to spend charting after visits.
Before: 15k Hours/yrAfter: 65% Lower
22% Increase in Patient Capacity
Quicker documentation freed up time in the day, giving providers 22% more capacity for patient care.
Before: BaselineAfter: 22% Increase
95% Provider Satisfaction
Charting used to mean stress and after-hours typing. With note drafting automated, provider satisfaction reached 95%.
Before: StressedAfter: Automated
Testimonial
“Documentation time is down 65% since the ambient scribe went live, and our clinicians still review and approve every note. That adds up to 15,000+ charting hours saved a year and capacity for 22% more patients.”
Michael VanceChief Medical Information Officer, PrimeCare NetworksKey results
Trust and control
Temporary audio and intermediate content can be deleted once the approved note is complete.
PRIVACY FOCUSEDA clinician reviews and signs off every AI-generated note.
HUMAN VERIFIEDPatient information moves through controlled systems built to protect sensitive clinical data.
SECUREThe hospital owns the custom scribe workflows and EHR integrations built for the project.
100% OWNEDFaster delivery
These components were already tested, so the team could focus on the hospital's templates and EHR integration and launch sooner.
Our tested audio pipeline processes the visit conversation and can remove temporary audio once the approved note is complete.
Existing EHR mapping components place each drafted section in the right part of the hospital's health record.
Clinical monitoring components track the scribe workflow in use, so the team can see how notes move from visit to sign-off.
Built-in cost controls keep note-generation spending predictable as more clinicians use the scribe.
The scribe runs in the background during the patient visit and processes the conversation securely. AI separates clinically relevant details from general talk and organises them into the hospital's note sections and templates. The draft is ready as soon as the visit ends, and the provider reviews, edits and signs it before it reaches the record.
The ambient scribe cut documentation time by 65% and recovers more than 15,000 charting hours a year. Quicker notes gave providers 22% more patient capacity without longer days, and provider satisfaction reached 95% as after-hours charting fell. Notes are also drafted while the visit is fresh, so fewer details are forgotten.
Audio and patient information go through a controlled workflow designed around healthcare privacy needs. The system keeps only the audio it needs, and temporary audio and intermediate content can be deleted once the approved note is complete. Every AI-generated note needs a clinician's review and sign-off before it enters the medical record.
If your providers finish notes at night or type through appointments, we can build an ambient scribe that drafts the note during the visit and leaves sign-off with them.