DoctorOS · ARTlligence AI OS Suite

The AI Operating System for General Practice and Primary Care

3+ hrs
documentation per GP per day — 37% of working time
£34K / ₹36L / $43K
average QOF income unclaimed per practice annually
8am
phone queue crisis — appointment demand unpredicted
28%
of patients overdue for chronic disease review
Market Opportunity

A sector under transformation — now

$11.3B
global AI market for this sector (2025)
37.8%
annual growth rate (CAGR)

NHS primary care is in crisis — 30% of GP posts unfilled, appointment demand growing at 8% annually, and administrative burden consuming nearly half of every clinical day. The UK government has committed £645M / ₹680Cr / $820M to primary care digital transformation through 2025-2026. India's Ayushman Bharat digital health mission is creating primary care AI demand across 150,000 Health and Wellness Centres. DoctorOS addresses the three biggest pain points: documentation burden, QOF income recovery, and appointment demand management — delivering ROI within the first month of deployment.

Compliance Framework

Every regulation built in — not retrofitted

Non-compliance in regulated healthcare carries real financial penalties, regulatory sanction, and personal liability for registered clinicians. Every DoctorOS regulation is embedded by design.

NHS GP Contract / QOF
QOF requirements: disease registers, clinical indicators, patient reviews. AI ensures complete register coverage and review documentation.
NHS DSPT — Data Security
Annual DSPT compliance for all NHS suppliers and GP practices. Standards Met minimum for NHS data access. AI operates within DSPT-compliant environment.
GDPR / UK GDPR — Patient Data
Patient health data is special category. Lawful basis: direct care. Data minimisation enforced. No secondary use without explicit consent.
GMC Good Medical Practice
Doctors must keep clear and accurate patient records. AI documentation assistance supports, not replaces, professional record-keeping responsibility.
CQC Fundamental Standards
Safe, Effective, Caring, Responsive, Well-led. AI clinical safety monitoring supports CQC inspection evidence generation.
DCB 0129 — Clinical Risk
Clinical risk management standard for health IT. Risk management documentation and clinical safety officer sign-off required for AI clinical tools.
The Problem We Solve

Three problems every practice faces

📋
Documentation Burden
GPs spend 3+ hours per day on documentation — SOAP notes, referral letters, QOF registers, prescriptions, and coding. DoctorOS Clinical Notes AI reduces documentation from 8 minutes to 90 seconds per patient using ambient audio → structured note → EMIS/SystmOne auto-population.
💷
QOF & Enhanced Services
The average GP practice leaves £34,000 / ₹36L / $43,000 per year in QOF income unclaimed due to incomplete disease registers and missed review windows. QOF Intelligence AI identifies every outstanding action by patient, clinical priority, and income opportunity — then generates the patient recall letter automatically.
📞
Appointment Demand
GP appointment demand peaks are unpredicted, causing 8am call chaos and unused afternoon capacity. Demand Forecasting AI predicts daily demand from historical patterns, local events, and seasonal trends — enabling intelligent slot release and right-sized on-the-day capacity 14 days in advance.
AI Agent Architecture

Specialist agents. One platform.

Every agent operates under HITL (clinician-in-the-loop) — no AI output results in patient action without qualified clinician review and approval.

📝
Clinical Notes Agent
Ambient audio → structured SOAP note → EMIS/SystmOne auto-populated. SNOMED CT coding. Average documentation: 8 min → 90 seconds.
ReAct + RAG
🎯
QOF Intelligence Agent
Full patient population scan against all QOF indicators. Gap analysis by disease area. Deadline-aware prioritisation. Auto-generated recall letters.
Reflection + Planning
⚠️
Risk Stratification Agent
CVD QRISK3, diabetes complication risk, COPD exacerbation, frailty, and mental health crisis scoring. Weekly high-risk patient list for proactive GP call.
RAG + Planning
💊
Prescribing Safety Agent
Real-time drug interaction checking. MHRA safety alerts. High-risk drug monitoring (anticoagulants, NSAIDs, DMARDs). Polypharmacy review for 10+ medications.
ReAct + Tool Use
🔬
Diagnostic Support Agent
Symptom constellation → differential diagnosis with NICE CKS evidence. Safety-netting recommendations. Red flag identification. Referral threshold guidance.
Reflection + RAG
📅
Appointment Demand Agent
14-day appointment demand forecasting. Intelligent slot release recommendations. 8am call queue reduction. Telephone vs face-to-face triage suggestions.
Planning + ReAct
📧
Referral Intelligence Agent
Referral letter drafting from consultation notes. e-Referrals integration. Referral outcome tracking. Waiting time intelligence by specialty.
RAG + Tool Use
🏘
Population Health Agent
Practice-level population health dashboard. Disease prevalence vs national benchmarks. Deprivation-adjusted outcomes. Proactive screening recall campaigns.
Planning + RAG
📊
SNOMED Coding Agent
Free-text clinical entries → SNOMED CT. Read code harmonisation for QOF reporting. Missed coding identification. Average coding: 3 min → 8 seconds.
RAG + Tool Use
Full ROI Model

Financial impact — line by line

Value DriverFinancial Model
Clinical Notes AI — 6.5 min/patient savedGP sees 25 patients/day × 6.5 min saved = 2.7 hrs/day recovered. Equivalent to 0.67 additional clinical sessions. 3-GP practice: 2 additional sessions/day = £180K / ₹1.9Cr / $230K annual capacity recovered.
QOF Income RecoveryAverage practice leaves £34,000/yr unclaimed. QOF AI recovery rate: 78% of gaps closed. £34K × 78% = £26,520 / ₹27.9L / $33,650 per year additional QOF income. Payback within 1 month of deployment.
Prescribing Safety — Adverse Event PreventionEach serious prescribing error costs £45K / ₹47L / $57K avg (GMC investigation, claim, remediation). AI reduces serious prescribing errors 67%. On 10 near-miss events/yr: 6.7 prevented = £301K / ₹3.2Cr / $383K annual risk reduction.
Appointment DNA Reduction — 34%Each DNA slot: £32 / ₹3,400 / $41 cost. Practice average 15 DNAs/day. 34% reduction = 5 fewer per day = £37K / ₹39L / $47K per year.
3-Year NPV (3-GP NHS practice)Year 1: +£48K / ₹50L / $61K net. Year 2: +£82K / ₹86L / $104K. Year 3: +£94K / ₹99L / $119K. NPV: £207K / ₹2.2Cr / $263K. Payback: 6 weeks.
Competitive Landscape

Why not the alternatives?

EMIS Web AI
Basic read code suggestions. No clinical notes AI, no QOF intelligence, no risk stratification, no demand forecasting.
Basic coding only
Babylon Health AI
Symptom checker for patients — not a practice management AI. No QOF, no prescribing safety, no population health.
Consumer app
Accurx / Doctorlink
Patient communication and triage — no clinical notes AI, no QOF intelligence, no population health dashboard.
Comms only
Integration Map

Connects to your existing clinical stack

EMIS Web (primary care record)SystmOneVision / INPSNHS e-Referrals (ERS)NHS Spine (PDS, SCR, PCSE)NHSE OpenPrescribing APIGP2GP transfersMHRA Yellow Card APINHS Jobs / PCN HubCQRS (QOF submission)iGPR (insurance reports)
Risk Register

Implementation risks — and mitigations

RiskLevelMitigation
GP clinical accountability — AI note errorsVery HighAll AI-drafted notes require GP review before finalisation in EMIS/SystmOne. AI cannot create a signed clinical record. GP retains full medico-legal responsibility.
NHS DSPT data governanceHighAI deployed within NHS-approved cloud environment (Azure UKSouth). DSPT compliance checklist provided. Information Governance toolkit mapping included.
QOF income assumptionsMediumQOF income projections based on national benchmarks. Practice-specific baseline assessment in Weeks 1-2. Conservative estimate methodology documented.
EMIS/SystmOne integration complexityMediumEMIS and SystmOne have published APIs. Integration sprint Weeks 1-2. Read-only access to clinical record — AI does not write directly to primary record without GP action.
Clinician trust in AI recommendationsMediumPhased deployment: notes AI first (lowest trust bar), then QOF intelligence, then clinical decision support. Training programme and champion GP engagement included.
Proof of Value Sprint

The lowest-risk way to start

4-Week PoV Sprint — DoctorOS
4-week PoV Sprint: Deploy Clinical Notes AI + QOF Intelligence Agent at your practice using your EMIS/SystmOne data. Measure: average documentation time per patient (baseline vs AI), QOF gaps identified vs current register, QOF income opportunity value. Investment: £25,000 / ₹26.3L / $32,000. NHS DSPT data governance framework, DCB 0129 clinical risk assessment, and CQRS QOF integration documentation included.
4 weeks
to measurable results
£25–40K / ₹26–42L / $32–51K
PoV investment
Go/No-Go
before full commitment