HealthTech · AI · SaaS

The AI Clinical Documentation Operating System for private aesthetic clinics.

MedScribe captures one verified clinical fact and intelligently propagates it across consultation notes, informed consent, procedure records, aftercare and compliance audit trails — before the clinician leaves the room.

MedScribe clinical workflow visualization showing patient records connected by AI

Documentation Ready

Consultation · Consent · Procedure · Aftercare

<1min

Generated

£3.2bn

UK aesthetics market (2024)

30–60 min

Documentation per clinician / day

5,589

UK private aesthetic clinics

High accuracy

Confidence-guided field verification

The Problem

Documentation is the bottleneck of aesthetic medicine.

Clinicians spend 30–60 minutes every day writing consultation notes, consent forms, procedure records, aftercare instructions and audit trails — often outside patient hours. Existing tools solve only fragments of this workflow.

Fragmented systems

Clinics juggle multiple disconnected platforms for scheduling, notes, consent and treatment records — the same information is re-entered repeatedly.

Unsafe speech-only AI

Generic AI scribes infer product, dosage and consent status from conversation — a medico-legal risk in a regulated aesthetic setting.

No specialty context

General-purpose tools lack aesthetic products, anatomical terminology, dosage standards and consent requirements — increasing hallucination risk.

How it works

One captured fact. A complete patient record.

MedScribe is a workflow-first AI platform. Clinical information is captured once and intelligently propagated across every downstream document — with confidence-guided clinician verification at every step.

  1. 01

    Clinical Information Capture

    Clinician records the consultation — diagnosis, treatment plan, product, dosage, treatment area and clinical observations.

  2. 02

    Intelligent Workflow Automation

    AI analyses the captured information and populates consultation notes, consent forms, procedure records, aftercare and compliance documents.

  3. 03

    Confidence-Based Review

    Each field is assigned a confidence score. Only low-confidence or missing entries are surfaced for clinician verification.

  4. 04

    Final Documentation

    A complete documentation package is generated in seconds, ready for e-signature, secure storage and future auditing.

Core Innovation Pillars

Eight defensible layers, one platform.

MedScribe combines full-chain workflow automation, structured safety-critical capture, specialty-tuned speech processing, schema-constrained extraction, deterministic orchestration, template-grounded generation, confidence-guided verification and integrated compliance analytics into a single operating system.

Pillar 01

Full-Chain Clinical Workflow Automation

One verified clinical fact automatically generates consultation notes, informed consent, procedure records, aftercare instructions, follow-up schedules and compliance records as a single connected workflow.

Pillar 02

Safety-Focused Structured Clinical Data Capture

High-risk variables — product selection, dosage, treatment area and consent confirmation — are captured through clinician-verified inputs rather than inferred from speech.

Pillar 03

Specialty-Tuned Clinical Speech Processing

Speech recognition trained on cosmetic products, facial anatomy, procedure names, medical abbreviations, multiple accents and clinic background noise, with clinician-patient speaker separation.

Pillar 04

Schema-Constrained Clinical Information Extraction

Extracted values are validated against clinical templates, approved treatment protocols, product libraries, dosage ranges and mandatory documentation rules — reducing AI hallucination and enforcing data quality.

Pillar 05

Deterministic Clinical Workflow Orchestration

The platform sequences consultation, consent, procedure, aftercare, follow-up and audit recording according to clinic protocol, with automated reminders and task progression.

Pillar 06

Template-Grounded Clinical Document Generation

Instead of unrestricted generative AI, documents are generated from validated clinical templates populated with verified structured information — producing standardised, regulatory-ready records.

Pillar 07

Confidence-Guided Clinical Verification and Continuous Learning

Every field receives an AI confidence score. High-confidence entries are accepted automatically; low-confidence entries are surfaced for review. Corrections feed back to continuously improve model performance.

Pillar 08

Integrated Compliance, Audit and Analytics

Tamper-evident audit trails, version-controlled records, role-based permissions, encrypted storage, documentation history, compliance reporting, workflow analytics and productivity dashboards support governance and operational insight.

Competitive Differentiation

Beyond the AI scribe. An end-to-end clinical chain.

Most AI scribes generate a consultation note and stop. MedScribe automates the entire connected documentation chain — every verified clinical fact is captured once and intelligently reused across the patient's treatment journey.

  • End-to-end clinical documentation, not single-note generation
  • Single-source data capture with automatic document population
  • Consistent information across every patient record
  • AI-driven confidence scoring and intelligent validation
  • Audit-ready documentation supporting regulatory compliance
  • Scales for growing clinics and multi-site practice groups

Market

A fragmented UK sector ready for a scalable SaaS standard.

The UK medical aesthetics market is valued at ~£3.2 billion and growing ~8.4% annually. Approximately 5,589 clinics and 19,701 practitioners operate across the UK — a highly fragmented base ideally suited to a specialty SaaS platform.

Target customer segments

B2B subscription. UK-first, with international expansion into English-speaking and regulated healthcare markets.

  • Independent private aesthetic clinics
  • Cosmetic medicine practices
  • Medical spas
  • Multi-site aesthetic clinic groups
  • Plastic surgery clinics
  • Dermatology clinics
  • Specialist cosmetic healthcare providers

£3.2bn

UK aesthetics market

~8.4%

Annual market growth

5,589

Aesthetic clinics

19,701

Qualified practitioners

Three-Year Roadmap

Validation. Growth. National scale.

MedScribe is funded by £50,000 of founder equity (£25,000 from each co-founder) and requires no external funding across the three-year plan. Cash remains positive every month.

Year 1

Product Validation

40

Active clinics

£149 / mo

Avg subscription

£38,439

Annual revenue

85.5%

Gross margin

Launch with 10 pilot clinics in London. Validate workflow automation in live clinical environments. First paid subscriptions from Month 7.

Year 2

Commercial Growth

121

Active clinics

£216 / mo

Avg subscription

£312,172

Annual revenue

86.5%

Gross margin

Repeatable sales and onboarding across London and the wider UK. Recruit initial technical and customer-facing team. Net profit £29,886.

Year 3

National Scale & International Prep

207

Active clinics

£262 / mo

Avg subscription

£650,954

Annual revenue

87.0%

Gross margin

Enterprise partnerships, product innovation and export foundations. Headcount reaches 10, creating 8 skilled UK jobs. Net profit £81,081.

Founders

Clinician-led. Aesthetic medicine at its core.

R

Dr. Rabea

Chief Executive Officer

Medical doctor and aesthetic physician. Conceived MedScribe's workflow-first approach from direct clinical experience, and leads product design, clinical workflows, strategic direction and commercial growth.

M

Dr. Maria Choudhary

Chief Clinical Officer

Co-founder contributing clinical, technical and business expertise to the platform's development, technology decisions and go-to-market strategy across the UK private aesthetics sector.

London Pilot · Months 1–6

Join the first ten clinics shaping MedScribe.

We are onboarding early-adopter aesthetic clinics for real-world validation of the platform. Pilot clinics help refine workflows, benefit from priority onboarding and lock in launch pricing.

Request Pilot Access