What's New

My Caller ID lets you choose which verified number your patients see when you call from the AizaMD dialer — add multiple numbers and set a default.

Patient Rounding is now available in AizaMD. Round on inpatients from one board — capture an encounter, get an ambient-drafted progress note for each hospital day, then sign, co-sign, and send to the EHR.

The AizaMD Dialer is live. Place a phone call to your patient for results, a care-plan check-in, or a prescription update — and AizaMD turns the conversation into a clinical note automatically. The call and its documentation live in one workflow, with the same audit trail as every other note in your account.

Two new coding controls land in AizaMD: pick exactly which ICD-10 codes are sent to the EHR on a per-note basis, and decide whether ICD-10 and CPT codes appear on your notes at all. Your coding workflow stays under your control, every note.

Your ICD-10 coding workflow just got a serious upgrade. The new ICD-10 Coding Workspace is a dedicated home for the codes you actually use — searchable, organized, and right where you need them. Build a personal go-to list, pull from your facility's standardized codes, browse AI-curated suggestions, or search the full catalog.

Patient List is now live in AizaMD — a built-in inpatient census workflow with three auto-updated system lists, personal lists you control, shared team lists with access management, one-tap pinning, and the per-patient context clinicians need at the point of care: code status, provider team, and handoff notes.

AizaMD Dictation for Desktop is now available for Mac and Windows. Dictate clinical notes into any application — your EHR, email, documents — and AizaMD automatically structures your voice into a finished SOAP note and inserts it where you're working. Press F1, speak, auto-paste.

AizaMD 3.0 is our biggest release yet, expanding to 14 medical specialties, adding real-time ICD-10/CPT code suggestions, a new iOS and Android app, improved EHR push for Epic/Cerner/Athena/Meditech, and transcription accuracy now at 97.8%.