Table 5. GIRISH quick-reference summary.
GA: Gestational age; GIRISH: Goal, Input, Role, Iterative refinement, Safety verification, and Human accountability; LLM: Large language model; MRN: Medical record number.
| Step | What you do | Non-negotiable safety check |
| G – Goal | One bounded task per interaction – one specific, answerable question. | Vague goals return unverifiable answers. |
| I – Input | Structured clinical context, fully anonymized. State what is unavailable. | Never enter name, date of birth, or MRN into any LLM. |
| R – Role | Tell the AI its role and limits (“do not prescribe; flag uncertainty and evidence grade”). | Explicitly limiting scope reduces hallucination risk. |
| I – Iterate | Interrogate the output. Challenge it. Ask what it is uncertain about. | If the AI contradicts your gestalt, ask it to cite its source. Disagreement is information. |
| S – Safety | Every drug dose and guideline – verify against your formulary before acting. | Red flags: dose outside the GA range; a non-existent source; internal inconsistency; overconfident language. |
| H – Human | A named clinician made the decision. Document it. | “AI-assisted [task], GIRISH, [date]. Verified against [source]. Decision by [Name], [Designation].” The AI has no accountability; you do. |