An AI medical scribe that listens to the consented consultation, drafts the note in your template and suggests codes for review. It files into Epic, Oracle Health, athenahealth, EMIS or SystmOne only after the clinician reads, edits and signs.
An AI medical scribe is ambient software that records a consented clinical conversation, transcribes it and drafts structured documentation. It outputs a visit note in the clinic's template (history, exam, assessment, plan), a patient-friendly summary, suggested diagnosis and procedure codes for review, and follow-up orders to confirm. The clinician reviews and signs before anything enters the electronic health record.
Documentation expands to fill every gap: between patients, over lunch and after the children are in bed. The patient notices the screen. The clinician notices the backlog. Neither shows up on a finance report until someone leaves.
Of the office day spent face to face with patients in a time-and-motion study of US ambulatory physicians.[2]
Of the office day spent on the EHR and desk work in the same study, plus one to two hours of personal time each night.[2]
Of US physicians reported a burnout symptom in 2025, down from 48.2% in 2023 but still more than two in five.[3]
NHS England guidance expects human sign-off on ambient scribe outputs, plus a clinical safety case and a DPIA before deployment.[4]
Runs on a clinic phone, tablet or desktop microphone. Consent is recorded per visit, audio is processed and then deleted on the schedule you set.
Notes follow each specialty's template and each clinician's preferences, learned from their edits. Code suggestions show the sentence they came from.
Signed notes file through FHIR or the EHR's supported API. Every draft, edit and signature is logged so quality and clinical safety teams can audit.
We measure current documentation time from EHR audit logs, agree templates, and complete the DPIA, consent wording and hazard log with your clinical safety and privacy leads.
We connect to your EHR test environment, tune templates on role-played consultations and fix formatting, terminology and filing issues before real patients are involved.
Clinicians use the scribe on consented visits. Every note is reviewed and signed. We track edit rates, error types and time-in-notes daily.
We compare documentation and after-hours EHR time with baseline, share clinician and patient feedback, and give you a written go/no-go with the safety log.
| Criterion | Clinician types or dictates | Packaged AI scribe app | Stratgik build + run |
|---|---|---|---|
| Note quality control | Clinician writes every word | Vendor-set templates | Your templates, edit-rate monitoring per specialty |
| EHR filing | Native | Copy-paste or vendor integration | FHIR or supported API into your EHR build |
| Coding support | Coder or clinician memory | Varies by product | Suggestions linked to transcript lines, human confirmed |
| Data residency | Your systems | Vendor's chosen region | Your cloud tenancy in the US, UK or UAE |
| Clinical safety evidence | Not applicable | Supplier documents only | Supplier and deployer safety data, hazard log support |
| Best fit | Low visit volume | Single-specialty clinics wanting speed | Multi-site groups with specific templates or residency rules |
Large US medical groups now run ambient documentation across thousands of clinicians. The evidence points to time back and better conversations, with human review still essential.
Enter your clinic's numbers. Minutes saved per visit is an assumption; the pilot measures it from EHR audit logs before and after.
Illustrative estimate using your inputs and stated assumptions, not a quote or guarantee. The pilot measures the real figure against your baseline.
4–6 weeks · one site · up to 20 clinicians
per month · production for one site
per month · multi-site or multi-country
Fixed fees exclude usage. Speech-to-text minutes, model tokens and cloud hosting are billed at cost and reported monthly; taxes excluded. GBP and AED prices are indicative conversions from USD.
An AI medical scribe produces a draft that is usually close but not perfect, which is why every note needs clinician review. Common errors include misheard medication names, missed negatives and details attributed to the wrong speaker. In the pilot we measure edit rate and error types per specialty, and we tune templates and vocabulary until the edits are small enough to be worth it.
An AI medical scribe can be deployed in a way that supports HIPAA, but compliance depends on the whole setup, not the product name. Our design runs in your cloud account, encrypts audio and text, deletes audio on your retention schedule, logs all access and uses only model providers that sign a BAA. We sign a BAA too. Your privacy officer approves the configuration.
Yes, NHS England has published guidance on AI-enabled ambient scribing. It expects organisations to complete clinical safety work under DCB0129 and DCB0160, carry out a DPIA, check whether the product is a medical device and ensure clinicians review outputs before use. We support your clinical safety officer with hazard logs and monitoring data; your organisation remains the deployer responsible for sign-off.
UAE federal health data law generally requires health data to be stored and processed inside the country, with limited exceptions. For UAE clinics we deploy in a UAE cloud region, keep audio and notes in-country, and align consent and access controls with your emirate health authority's requirements. Your legal and compliance team confirms the final arrangement before patient data is processed.
No, it suggests codes and a person confirms them. Each suggested ICD-10, CPT or SNOMED CT code is linked to the sentence in the transcript that supports it, so the clinician or coder can check it quickly. Nothing is sent to billing automatically. This keeps coding decisions with qualified staff and avoids over-coding driven by software.
A production pilot takes four to six weeks for one site. The first week covers baseline measurement and governance paperwork, the next two weeks build and test against your EHR, and live use with volunteer clinicians follows. Adding more sites usually takes two to four weeks each, mostly for template tuning and local training.
Book a 30-minute call with your clinical lead and IT. We will agree the EHR, the templates and the one metric for a 4–6 week pilot.