Knowtex provides Voice AI for clinical workflow automation, automatically generating documentation, orders, and referrals directly integrated with EMR systems. The platform surfaces clinical intelligence from conversations to support real-time decision-making, including trial eligibility and guideline searches. It also offers enterprise model evaluation tools ensuring transparency and auditable reliability for clinical AI applications.
Funding
$125K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ECMIFounders
Product
Problem
Clinicians face a significant administrative burden due to the time-consuming nature of documenting patient visits. Traditional note-taking methods can detract from patient interaction and contribute to physician burnout. Incomplete or inaccurate documentation can also lead to coding errors and reduced reimbursements.
Solution
Knowtex is an AI-powered platform designed to automate clinical documentation by converting medical conversations into comprehensive visit notes. The platform leverages voice recognition and natural language processing to transcribe patient-physician interactions in real-time. It then analyzes the conversation to generate structured notes, including relevant ICD-10, CPT, and E/M codes. By automating these tasks, Knowtex reduces administrative workload, allowing clinicians to focus on patient care and improve work-life balance.
Target Audience
Knowtex is designed for physicians, nurse practitioners, medical assistants, and other healthcare professionals who seek to streamline clinical documentation and reduce administrative overhead.
Features
- Real-time voice-to-text transcription of patient-physician conversations
- Automated generation of clinical notes with ICD-10, CPT, and E/M codes
- Specialty-specific templates to tailor documentation to different medical fields
- EHR integration for seamless data transfer and workflow management
- Multilingual processing capabilities to support diverse patient populations
- Customizable AI models that learn from user edits to improve accuracy over time
- Mobile application for recording conversations on iPhones, Android phones, and iPads
- Web application for reviewing and editing notes