patients.app is a medical software platform that aggregates patient information from various sources, including EMRs and clinical networks, to provide clinicians with concise, relevant summaries for efficient decision-making. This technology reduces the time spent sifting through extensive medical records, allowing healthcare professionals to focus on patient care and improve workflow efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians often face challenges navigating the increasing volume of patient data scattered across various electronic medical records (EMRs), PDFs, faxes, and clinical networks. Sifting through extensive records to find relevant information is time-consuming and can lead to critical details being overlooked, impacting patient care and workflow efficiency. This information overload detracts from direct patient interaction and contributes to clinician burnout.
Solution
patients.app is an AI-powered platform designed to streamline medical record review and enhance clinical decision-making. The platform aggregates patient information from disparate sources, including EMRs, clinical networks, PDFs, and faxes, and uses AI to curate concise, relevant summaries tailored to specific diagnostic interests. Clinicians can quickly access critical patient history, identify potential transplant donors, and generate draft workups, reducing the time spent on manual record review. The platform integrates with existing EMR systems, allowing for seamless sharing of comprehensive and auditable reports, ultimately enabling clinicians to focus on patient care and improve practice efficiency.
Target Audience
The primary target audience includes physicians, transplant nephrologists, anesthesiologists, and other healthcare professionals who need to quickly access and synthesize patient information from multiple sources to improve clinical decision-making and workflow efficiency.
Features
- Aggregates patient data from various sources: EMRs, PDFs, faxes, and clinical networks
- AI-powered summarization of medical records, tailored to specific diagnostic interests
- Customizable diagnostic frameworks for identifying relevant patient information
- Secure, HIPAA-compliant platform with a Business Associate Agreement (BAA)
- Integration with existing EMR systems for seamless data sharing and documentation
- Private AI instance dedicated to each practice, ensuring data privacy and security
- National data network connectivity for comprehensive patient information retrieval