Kenkone

The company offers an AI-powered healthcare assistant that understands accented speech and medical terminology to generate real-time medical reports. This enables medical staff to create high-quality documentation using voice commands, improving efficiency and accuracy.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Medical professionals often struggle with the time-consuming and mentally taxing process of creating comprehensive and accurate medical documentation, leading to incomplete records and potential errors that can impact patient care. Overworked physicians spend a significant portion of their time on documentation, pulling them away from direct patient interaction.

Solution

Kenkone offers an AI-powered voice assistant, EVAS (Endoscopy Intelligent Assistant), that streamlines medical documentation by enabling clinicians to generate real-time, structured reports using voice commands. EVAS leverages advanced generative AI technology to convert spoken diagnostic keywords into fluent, narrative medical records, reducing manual input and improving efficiency. The system incorporates a library of over 100 structured medical record templates tailored to various diseases and surgical procedures, facilitating data accumulation and analysis. Additionally, EVAS offers a pacing function for endoscopy procedures, ensuring thoroughness and effectiveness by monitoring withdrawal times and providing real-time feedback to physicians.

Target Audience

The primary target audience includes physicians, particularly gastroenterologists and endoscopy specialists, as well as hospitals and medical centers seeking to improve documentation accuracy, reduce physician workload, and enhance overall efficiency.

Features

AI-powered voice recognition that understands accented speech and medical terminology
Real-time generation of structured medical reports from voice dictation
Integration of open-source Large Language Models (LLM) with a proprietary Medical Language Model (Medical LLM)
Customizable GPT models that adapt to individual physician preferences and language styles
Structured medical record templates for various diseases and surgical procedures
Endoscopy speed coordinator to ensure adequate withdrawal times and thorough examinations
On-premise data processing to ensure patient data security and privacy