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lyrebird-health

lyrebird-health

Medical documentation tool that automatically records consultation notes and syncs them to the electronic medical record system.

Document AssistantHealthcareSpeech RecognitionSpeech to Text
lyrebird-health screenshot
OverviewAlternatives

Monthly Visits

86.1K

Avg. Session Duration

7 min

Category Rank

#80

Bounce Rate

0.4%

What is lyrebird-health?

Lyrebird Health is an advanced AI medical documentation assistant designed to listen to patient consultations and automatically generate comprehensive, legally compliant clinical notes tailored to each physician's personal style. It runs securely in the background of web browsers on any device and seamlessly integrates with mainstream electronic medical record (EMR) systems, enabling one-click note transfer. By eliminating manual documentation tasks, Lyrebird Health significantly reduces administrative burden, allowing healthcare providers to focus more on patient care, while strictly ensuring data privacy and compliance.

Key Features of lyrebird-health?

Real-time AI Transcription
Automatically converts consultation dialogues into accurate, structured text without storing audio, ensuring privacy and enhancing efficiency.
Personalized Note Generation
Learns a doctor's unique documentation style over time, generating notes and referral letters tailored to individual preferences.
Seamless EMR Integration
Works with multiple electronic medical record (EMR) platforms including Best Practice Premier, automatically pre-filling patient information and enabling one-click note saving to medical records.
Comprehensive Documentation Automation
Rapidly generates referral letters, certificates, summaries, and reports, supporting custom templates and AI-assisted editing for professional output.
Robust Privacy and Security
Utilizes bank-grade AES-256 encryption, with all data processed and stored locally on Australian servers only—no audio retention and no data sold.
Continuously Learning AI
Improves accuracy and personalization over time by learning from user edits and document uploads, driving greater efficiency.

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