CleverConsult automates the review of patient referral packages for specialist physicians. The platform extracts key information and drafts customized notes, reducing after-hours preparation time and physician burnout.
Funding
Funding not disclosed
Founders
Product
Problem
Specialist physicians often spend significant time reviewing patient referral packages and manually extracting relevant information to prepare consult notes. This process can be inefficient, leading to after-hours work and potential physician burnout. Existing AI scribe solutions are primarily designed for primary care and do not adequately address the unique needs of specialists preparing for consultations.
Solution
CleverConsult is an AI-powered platform designed to automate the review of patient referral packages for specialist physicians. The platform uses natural language processing to read and extract data from referral documents, including past medical history, medications, allergies, social and family history, lab results, and imaging reports. It then identifies relevant information and drafts a preliminary consult note that specialists can edit and paste into their EMR systems. By automating this process, CleverConsult aims to reduce consult preparation time, allowing specialists to focus on patient care and improve work-life balance.
Target Audience
The primary target audience is specialist physicians across various medical disciplines who spend considerable time preparing consult notes from patient referrals.
Features
- AI-powered extraction of key data points from referral packages, including structured and unstructured data
- Automated identification of relevant medical history, medications, allergies, and other pertinent information
- Generation of preliminary consult notes in a structured format, ready for physician review and editing
- Secure, end-to-end encryption using AES 256-bit standard to protect patient data
- Compliance with Canadian federal and provincial patient medical information regulations, including PHIPA and PIPEDA