AI Medicine Recommendation & Titration
Suggests the right drugs and doses — aware of prior prescriptions, FDA safety, and your pharmacy stock.
AI Medicine Recommendation & Titration
- 1Guideline-grounded drugs are suggested for the diagnosis
- 2Each is checked against prior prescriptions & doses
- 3OpenFDA safety + specialty dose ceilings are applied
- 4In-stock brands preferred; unjustified dose drops reverted
InZob suggests medications for the suspected conditions, each grounded in a real guideline. It knows what the patient was on before — tagging every drug as new, continued, up-titrated, switched or down-titrated — enriches each with OpenFDA safety data (including black-box warnings and interactions), weighs doses against Indian specialty ceilings (RSSDI / IHCI / ITS), and biases toward brands you actually have in stock (FEFO), keeping the prior brand when it's available. An unjustified dose drop is automatically reverted. Every suggestion is presented for the doctor to approve.
Prior-Rx aware
Knows past meds and doses — tags new / continued / up- or down-titrated / switched.
FDA-safety enriched
OpenFDA black-box warnings, contraindications and interactions on every drug.
Prefers in-stock brands
Biases to what your pharmacy has (FEFO), keeping the prior brand when available.
How it works
Guideline-grounded drugs are suggested for the diagnosis
Each is checked against prior prescriptions & doses
OpenFDA safety + specialty dose ceilings are applied
In-stock brands preferred; unjustified dose drops reverted
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