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MedAI EHR

AI-assisted electronic health records for clinical environments.

Client: Osnnova Ventures

MedAI EHR
// Overview

MedAI EHR is a discovery-stage research project exploring how AI can reduce the documentation burden on clinicians without introducing risk into care workflows. The research focuses on surfacing relevant patient history during a consultation, assisting with clinical note drafting, and flagging anomalies in records for practitioner review. The core design constraint is that AI in clinical settings must support the practitioner's judgment and not replace it.

// Specs

Specifications

StageDiscovery and research
FocusClinical documentation and patient history surfacing
AI EngineLLM-assisted note generation and record parsing
ConstraintPractitioner-in-the-loop. AI supports, not decides.
StackResearch stage. Stack not yet finalised.
// Features

Features

01

Relevant patient history surfaced during consultation without manual search

02

AI-assisted clinical note drafting from consultation context

03

Record anomaly flagging for practitioner review

04

EHR integration research across common clinical system types

05

Privacy-first architecture designed for clinical data compliance from the ground up

// Tech Stack

Tech Stack

Research StageLLMEHR Integration

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// End of Case StudyMedAI EHR