Briz AI is an advanced clinical AI assistant that works like your digital twin in healthcare. It helps doctors, clinics, and hospitals automate pre-consultation intake, clinical documentation, and post-care follow-up. The system collects patient information before appointments, listens during consultations, and generates structured treatment notes and prescriptions instantly. It even tracks patient recovery afterward, suggesting follow-up care where needed. Briz AI combines deep medical intelligence with natural conversation and workflow automation, giving clinicians more time to focus on patients rather than paperwork. Built with privacy and compliance at its core, it is transforming the way modern healthcare operates.

Key Features

• AI-powered clinical twin that supports end-to-end consultations

• Automated data collection before patient visits

• Real-time transcription, diagnosis, and treatment plan generation

• Prescription creation and secure patient progress tracking

• Post-care reminders and ongoing monitoring

• Works across multiple roles — doctor, patient, and staff

Industries

• Health & Wellness

• Medical Technology

• Clinical Operations

• Telehealth & Virtual Care

• Healthcare Innovation

Briz AI is designed for healthcare providers who want to streamline every stage of patient care using AI. It acts as a clinical co-pilot — collecting details before appointments, assisting during conversations, and tracking outcomes afterward. A doctor can begin a consultation with a complete patient overview, receive AI-generated notes and prescription drafts in real time, and monitor the patient’s recovery after the visit. For instance, a busy outpatient clinic could use Briz to save hours in documentation while ensuring no patient detail is missed. It’s especially valuable for practices managing high patient loads or telehealth sessions, where accuracy and time are critical. Briz supports multiple roles, meaning receptionists, doctors, and patients can each interact with the AI seamlessly. Over time, it learns the preferences of each clinician, offering more tailored workflows and predictive insights that improve both speed and care quality.