Hospital AI Pharmacist

The problem it addresses

Patient-facing medication education is hard because drug labels are dense and scattered: indications, dosing, contraindications, and special-population adjustments are easy to miss. Social posts also need compact, mobile-friendly layout, and creators must clearly distinguish IMA knowledge-base data from public web results instead of presenting retrieval as clinical authority. Hospital AI Pharmacist turns this into a fixed workflow from retrieval and field validation to illustrated HTML posts.

How it works

The skill gathers and organizes common name, brand name, indications, dosing, special populations such as hepatic or renal impairment, elderly, pediatric, and pregnant patients, plus adverse effects, contraindications, and storage conditions. It outputs HTML with a mobile-readable layout, information-card structure, SVG drug illustrations by dosage form, and a required disclaimer. If the IMA subscription knowledge base is unavailable, it falls back to public drug labels and marks the data-source status explicitly rather than silently swapping sources.

Boundaries

It is suitable for hospital pharmacists, pharma content editors, and patient education when creating educational assets for WeChat-style channels or social sharing. It should not replace physician or clinical pharmacist judgment for prescription changes, acute adverse-reaction management, complex renal or hepatic dose titration, or pregnancy safety decisions; pediatric and pregnancy dosing require prominent warnings.