The startup has developed an AI-based platform that enables real-time patient diagnosis by capturing and personalizing clinical pathways through its proprietary AI engine. This technology allows physicians to customize diagnostic pathways for individual patients, enhancing diagnostic accuracy and flexibility in clinical decision-making.
Funding
$2.3M 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
Emergency Room (ER) physicians face challenges navigating complex patient care scenarios, often relying on intuition, memory, and potentially outdated resources. This can lead to inefficiencies, misdiagnoses, and adverse patient outcomes, contributing to significant costs for the healthcare system. Implementing clinical best practices is difficult due to their complexity and the difficulty of applying them to individual patients.
Solution
Quai.MD offers a clinical process automation platform designed to guide medical teams through patient care. The platform provides real-time recommendations, similar to a GPS, embedded within the physician's existing Electronic Health Record (EHR) workflow. Quai.MD's AI technology combines evidence-based medical knowledge with real-world patient data to deliver recommendations tailored to the specific patient and local community. The platform aims to reduce unnecessary admissions, improve reimbursement rates, and shorten patient length of stay, initially focusing on diagnostic pathways within the Emergency Department.
Target Audience
The primary target audience includes physicians and medical teams in Emergency Departments, as well as healthcare systems seeking to standardize care, improve efficiency, and optimize financial performance.
Features
- Seamless integration within existing Electronic Health Record (EHR) systems
- AI-powered engine that transforms physician decisions into actionable clinical processes
- Automated generation of physician's notes to improve billing efficiency
- Real-time, personalized recommendations tailored to individual patient profiles
- "MetaPathway" approach for complex symptoms like chest pain, addressing prevalence, risk, and diverse outcomes
- Integration of evidence-based medical knowledge with real-world patient data
- Customizable to local community standards and practices