Mayamd

What is MayaMD?

MayaMD is an AI-powered digital health assistant designed to deliver timely, relevant healthcare information. It helps patients understand their health conditions through personalized care programs and engagement solutions. For healthcare providers, MayaMD can automate patient journeys, improving resource use, care quality, and recovery speed. Its clinical engine is built on AI and evidence-based medical knowledge, allowing it to interpret complex patient data and improve over time. The company also collaborates with researchers and physicians from leading medical schools on projects that sharpen diagnostic skills and critical thinking for healthcare professionals.

Who created MayaMD?

MayaMD was developed by a team of developers working closely with physicians and researchers from top medical schools, including Carnegie Mellon University. The company spent eight years building the platform, incorporating insights from researchers at many different universities.

What is MayaMD used for?

MayaMD serves both patients and providers across a range of clinical tasks:

For patients:

• Assesses symptoms and helps people find the right kind of care
• Provides timely, relevant healthcare information so people can better understand their conditions
• Supports patients from hospital discharge through remote home care
• Boosts patient engagement through a conversational interface

For providers:

• Triage for any disease or clinical pathway
• Managing patients during discharge and improving care transitions
• Automating and streamlining the entire patient journey, leading to better resource use, higher quality care, and improved recovery
• Enabling value-based care with higher patient satisfaction and saved staff time
• Interpreting complex clinical data to offer doctor-level inferences

Clinical capabilities:

• Built on a comprehensive database of evidence-based medical knowledge covering thousands of symptoms, lab results, past medical history, medications, and more
• Can diagnose rare conditions published in top medical journals
• Predicts a patient’s risk of hospitalization based on location, symptoms, and existing conditions, using a dedicated prediction algorithm
• Supports research collaborations that improve diagnostic abilities for nurse practitioners, enhance medical residents’ performance in preoperative evaluations, empower ophthalmology technicians to diagnose glaucoma more effectively, and sharpen critical thinking for medical students and residents

Key takeaways

MayaMD combines an evidence-based clinical engine with AI to support triage, disease management, clinical pathways, and discharge tasks. Patients get clearer guidance on symptoms and care options, while providers can automate patient journeys and improve diagnostic performance across their teams.