AI Medicine Recommendation & Titration
Drug and dose suggestions that know the patient's past meds, FDA safety and what's actually on your pharmacy shelf.
Prescribing well means holding the last prescription, the safety data and the pharmacy stock in your head at once. InZob suggests medications for the suspected conditions — each aligned with leading clinical guidelines — knowing what the patient was on before (tagging every drug new, continued, up-titrated, switched or down-titrated), enriching each with OpenFDA safety data including black-box warnings and interactions, weighing doses against Indian specialty ceilings (RSSDI / IHCI / ITS), and favouring brands you actually stock (FEFO) so the prior brand is kept when it's available. An unjustified dose drop is reverted automatically, and every suggestion waits for your approval.
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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