DocAid provides a digital assistant that records clinical conversations via microphone, mobile app, or phone call and automatically generates structured, EHR‑ready documentation. It extracts diagnosis codes and medication details, offers real‑time translation between Estonian, Russian and English, and outputs formatted records ready for direct import into electronic health record systems.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical documentation requires clinicians to manually transcribe patient conversations into electronic health records, a time‑consuming process that distracts from patient care and introduces errors. Language barriers and the need to extract structured data such as diagnosis codes and medication details further complicate accurate record keeping.
Solution
DocAid offers a digital assistant that captures live clinical conversations through a microphone, mobile app, or phone call and automatically converts them into structured, EHR‑ready documentation. The platform uses speech analysis to extract clinical information, generate diagnosis codes, and identify medication names with active substances. It provides formatted output documents and summary translations between Estonian, Russian, and English, enabling multilingual documentation without disrupting existing workflows. The generated records are ready for integration with electronic health record systems, reducing administrative burden and improving data accuracy.
Target Audience
Primary users are physicians, nurses, and other clinical staff who need to document patient encounters efficiently, as well as healthcare organizations seeking to streamline documentation and support multilingual patient interactions.
Features
- Real‑time audio capture via hardware microphone, iOS/Android app, or operator‑supported phone calls
- Automatic extraction of diagnosis codes and medication details with active substance highlighting
- Multilingual support with automatic translation of summaries between Estonian, Russian, and English
- Structured, formatted output documents that are ready for direct import into EHR systems
- No workflow disruption; the assistant operates alongside existing clinical processes