The Role of AI in the Consultation Room
Artificial intelligence in clinical software generates both excitement and legitimate concern. Clinicians worry about hallucinated diagnoses, liability, and the erosion of clinical judgment. Administrators worry about data privacy..
Clinit's approach is deliberate: AI assists with documentation tasks, not clinical decisions.
What Clinit's AI Does
1. Consultation Summary
At the end of a visit, the doctor can tap Generate Summary. The model reads the structured note fields (chief complaint, history, examination findings, investigations, plan) and produces a concise plain-language paragraph suitable for the patient's file or for printing as a visit summary.The doctor reviews the summary, edits as needed, and approves. Nothing is saved without explicit approval.
2. ICD-10 Code Suggestions
Based on the diagnosis field text, the AI suggests the three most likely ICD-10 codes with their descriptions. The doctor selects one (or types their own). This accelerates coding for billing and insurance claims without requiring the doctor to memorise thousands of codes.3. Referral Letter Drafting
When a referral is needed, the doctor selects the receiving specialty and reason. The AI drafts a structured referral letter using the patient's relevant history from the EMR. The doctor reviews, edits, and signs off before the letter is sent or printed.4. Prescription Drug Interaction Check
When a prescription is composed, the AI flags potential interactions between the newly prescribed drug and the patient's current medication list. This is a safety net, not a replacement for pharmacological knowledge.What ClinIT's AI Does Not Do
- It does not generate diagnoses autonomously.
- It does not modify a patient record without physician approval.
- It does not access the internet or external databases during a consultation.
- It is not trained on your clinic's patient data; it uses a foundation model via a privacy-compliant API (data is not stored or used for training).
Model & Privacy
Clinit routes AI requests through Clinit AI with a model fallback chain prioritising strong reasoning models. All prompts are pseudonymised before leaving the application — patient names and identifiers are substituted with tokens and restored after the response is received. Audit logs record every AI-generated output and the approving physician.
Getting Started
The AI module is enabled per-clinic in Settings → AI Features. A usage counter is shown; the free tier includes 200 AI actions per month. Higher usage is available on Growth and Enterprise plans.
