LazyDoc

Description

Tired of spending hours filling out your EHR after work? Reclaim your time for what matters most: communicating with your patients.

LazyDoc is a specialized generative network that transforms your patient conversations in real time into structured medical documentation that complies with your medical information system (HIS) format and clinical guidelines.

HOW IT WORKS (example):
- Start your appointment - launch LazyDoc on your smartphone or PC before the examination
- Communicate with the patient - have a natural conversation, as usual
- Receive a completed protocol - AI analyzes the dialogue and automatically fills in all required EHR fields

KEY FEATURES:
• Protocol autofill - complaints, medical history, diagnosis, recommendations
• Voice input - works via the microphone of a smartphone, PC, or a separate headset
• Current recommendations - takes into account current clinical recommendations of the Russian Ministry of Health
• Quality control - checks data completeness and compliance with standards
• Optional integration with your HIS - adapts to the field structure of your medical system

BENEFITS FOR THE DOCTOR:
✓ Time savings - from 15-20 to 1-2 minutes per protocol
✓ Reduced workload - less paperwork and less burnout
✓ Professional documentation - minimizes errors and Fines from insurance companies
✓ Improved patient engagement - more time spent communicating, less time spent staring at a screen

IMPORTANT INFORMATION: The generated protocols provided by the app are not medical data, and the service is not a diagnostic product. The recommendations provided are not medical and are for informational purposes only.

All LazyDoc cloud servers are located in the Russian Federation in secure data centers certified according to the requirements of the Federal Service for Technical and Export Control (FSTEC) of Russia (Federal Law No. 152-FZ, PP No. 1119). The infrastructure complies with FSTEC orders No. 17 and No. 21.

LazyDoc does not receive personal patient data from medical organizations. Voice recordings are not used for identification and are not considered biometric data.