MayaMD is a clinical AI-powered digital health assistant that enhances physician-patient communication by automating patient triage and care pathways through natural language processing and evidence-based algorithms. This technology reduces unnecessary doctor visits by 40% and improves patient satisfaction by providing on-demand care support and streamlined access to healthcare resources.
Funding
$12.3K 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.
RNTHFounders
Product
Problem
Patients often face challenges in accessing timely and appropriate healthcare, leading to unnecessary doctor visits and inefficient resource utilization. Traditional methods of patient triage and care pathway management can be time-consuming and may not always provide the most accurate or personalized guidance.
Solution
MayaMD offers a clinical AI-powered digital health assistant designed to enhance physician-patient communication and streamline care pathways. By leveraging natural language processing and evidence-based algorithms, MayaMD automates patient triage, intelligently assesses symptoms, and routes patients to the most suitable care option, whether it's a virtual visit, in-person appointment, or self-care guidance. The platform provides on-demand care support, facilitates remote patient monitoring, and delivers clinical decision support, ultimately improving patient satisfaction and optimizing healthcare resource allocation. MayaMD's conversational interface engages patients through normal conversation, while its AI algorithms process vast amounts of medical knowledge to ensure accurate and personalized recommendations.
Target Audience
The primary target audience includes hospitals, clinics, nephrology and cardiology groups, and other healthcare providers seeking to improve patient engagement, streamline care delivery, and optimize resource utilization.
Features
- Conversational interface powered by natural language processing (NLP) for engaging patients in normal conversation.
- AI-driven triage that processes symptoms, physical signs, past medical history, and medications to determine the appropriate care pathway.
- Evidence-based clinical algorithms for various diseases and clinical pathways, including triage, discharge, and more.
- Remote patient monitoring capabilities for proactive engagement and support.
- Integration with a comprehensive medical knowledge database containing thousands of symptoms, labs, and medications.
- Risk of hospitalization prediction algorithm based on location, symptoms, and conditions.
- Triage accuracy of 94%