The intelligence behind clinical context
A secure platform combining natural language processing with reliable cloud infrastructure to bring order to medical records.
AI TECHNOLOGY
Turning clinical documents into structured patient context.
MedBrief uses AI to transform fragmented healthcare records into structured information, chronological context, and source-linked summaries while keeping healthcare professionals in control.
Designed for trust.
Designed to support healthcare workflows, not replace professional judgment. Every insight generated is verifiable against the original source document.
MEDBRIEF AI WORKFLOW
AI-generated information is presented as assistive context and remains subject to professional review.
CORE CAPABILITIES
Platform intelligence
Document Intelligence
Extract relevant information from clinical documents and medical records, including unstructured text.
Medical Language Understanding
Identify clinically relevant conditions, medications, investigations, procedures and events from medical text.
Patient Timeline
Transform fragmented records into a chronological view of a patient's documented history.
AI Patient Brief
Generate concise summaries that bring relevant patient information together for professional review.
Evidence Linking
Connect AI-generated information back to the source records used to create the insight.
Human Review
Keep healthcare professionals in control by allowing generated information to be reviewed before it becomes part of the workflow.
AI-generated information remains subject to professional review.
MedBrief connects generated clinical context directly to the records that support it, helping professionals review information with greater confidence.
CLOUD ARCHITECTURE
A dependable cloud foundation for MedBrief
MedBrief uses managed cloud infrastructure to support secure application hosting, document storage, structured records and controlled access.
Amazon ECS
Application services run as managed containers, ensuring the backend can scale up or down based on current patient loads.
Amazon S3
Clinician-uploaded documents are saved in a durable cloud object store with strict access policies.
Amazon RDS
Relational data regarding organizations, users, and references is safely stored in a managed PostgreSQL database.
AWS IAM & VPC
Identity policies and private networking rule sets ensure that data flows are restricted and tightly controlled.