Clinical documentation takes up 35–40% of a doctor's working day. Clinit's AI co-pilot cuts that significantly — here's exactly how it works.
The Documentation Burden
A 2024 Medscape survey of Egyptian physicians found that 62% felt administrative burden was their primary source of burnout. Documentation — writing notes, generating referral letters, producing discharge summaries — was cited as the largest single component.
AI Features in Clinit EMR
Clinical Summary
After a session is saved, Clinit's AI generates a structured clinical summary: chief complaint, findings, assessment, plan, and follow-up. The clinician reviews and approves with one click. Average time saving: 4–6 minutes per complex session.
SOAP Note Assistance
The AI can convert a bullet-point list of findings into a formatted SOAP note — Subjective, Objective, Assessment, Plan — in the clinician's own terminology. Clinicians dictate or type bullets; the AI structures them.
Prescription Review
Before a prescription is saved, the AI cross-checks:
- Dose range appropriateness
- Contraindications against active problem list
- Pregnancy/lactation flags (if female patient of childbearing age)
Discharge Summary
For day-case procedures or short admissions, the AI generates a complete discharge summary including procedures performed, diagnosis, medications on discharge, and follow-up instructions — formatted for GP referral.
Chronic Disease Coaching
For patients with diabetes, hypertension, asthma, COPD, CKD, or heart failure, the AI generates a management recommendation aligned to NICE / WHO guidelines and highlights the most impactful next clinical action.
The Technology
Clinit uses a model fallback chain: GPT-4o-mini → GPT-3.5-turbo → Llama 3.3 → Gemma 3. This ensures availability even when primary model endpoints are congested, while keeping per-request costs below a clinically sustainable threshold.
