Phelix is an AI-powered automation platform that streamlines healthcare workflows by processing incoming documents, managing tasks, and automating patient interactions without requiring EMR integration. By reducing administrative burdens, Phelix saves healthcare providers over 75% of staff time on repetitive tasks, significantly enhancing operational efficiency.
Funding
$710K 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.
Founders
Product
Problem
Healthcare providers face significant administrative burdens due to repetitive tasks such as processing documents, managing tasks, and handling patient interactions. These manual processes consume valuable staff time and resources, hindering operational efficiency and potentially impacting patient care. Existing solutions often require complex and costly EMR integrations.
Solution
Phelix offers an AI-powered automation platform designed to streamline healthcare workflows without requiring EMR integration. The platform automates tasks such as triaging faxes, answering phones, scheduling appointments, managing referrals, handling prior authorizations, and automating patient intake and follow-ups. By leveraging healthcare-specific AI models and intelligent automation, Phelix alleviates administrative burdens, allowing healthcare providers to focus on patient care and improve overall operational efficiency. The platform integrates with existing systems through event-driven interfaces, minimizing disruption to established workflows.
Target Audience
Phelix targets primary care clinics, radiology clinics, and other healthcare providers seeking to reduce administrative overhead and improve workflow efficiency.
Features
- AI-powered document triage and processing for incoming faxes, EMR messages, referrals, emails, records, and reports.
- Virtual agents and chatbots for automated phone answering, SMS messaging, appointment booking, task creation, note capture, and FAQ delivery.
- Patient journey automation for reminders, forms, bookings, intake, post-visit follow-ups, campaign management, and clinical trial workflows.
- AI-powered document and note processing APIs that convert unstructured healthcare PDFs into machine-readable JSON data.
- FaxAI for automatic triage and conversion of incoming faxes into structured data.
- ClinOCR for parsing, tagging, and storing clinical text from multi-page documents, notes, and records.
- ClinQ&A, a custom LLM implementation fine-tuned for question answering from healthcare documents.