Introducing Reya®
Powering AI-enabled Clinics
to Achieve Breakthrough Business Outcomes
Responsible. Customizable. Integrated.
Our Value is Showcased
Published in USA Medical Journal of Diabetes Science and Technology
Peer reviewed medical journal study published
Two year study
42,095 patients
Approximately 50% male and 50% female population
STUDY RESULTS
We are proven.
Cardiology.
Endocrinology.
Gastroentrology.
Maternity.
Nephrology.
Neurology.
Oncology.
Orthopedics.
Pulmonology.
Cardiology.
350,000+ Patients Cared For
1.1 Million Careplans Managed
5 Years Of Real World Clinical Deployments
HIPAA Compliant
Published Medical Journal Study
Proprietary Knowledge Datasets to tune AI LLMs
Doctor Testimonials
Dr. Devi Shetty
Chairman and Founder, Narayana Health India, Called “Henry Ford of Cardiology” by Wall Street Journal
Name Surname
Position, Company name
“To make healthcare safer, accessible, and affordable in the future we need to embrace technology more broadly. Digital-AI remote care assistants like Reya can reduce the burden doctors face. The development of Digital-AI remote care assistants is new and exciting, and I look forward to its contributions to the future of healthcare.”
Chairman and Founder, Narayana Health India, Called “Henry Ford of Cardiology” by Wall Street Journal
“Today’s remote care software products assist in collecting remote patient data but these are often meaningless pools of data that are time-consuming to assess without specific clinical context at the moment of review. An intelligent remote care assistant like Reya gives you relevant contextual information to the remote patient data, saving time and greatly improving care decisions.”
Board Certified Physician, Boston Children’s Hospital and Faculty Harvard Medical School
What is Reya?
Reya is a HIPAA compliant, with new AI-assisted, multi-specialty patient engagement, remote care and hybrid care platform.
Uniquely combines remote patient disease management workflows, integrated with EMR/HIS systems, with a familiar WhatsApp-like group chat interaction model to drive high patient engagement.
Integrates home care devices like glucometers to capture remote patient reported data, thereby providing continuum of care visibility to care teams.
Provides real-time data analytics, population health oriented dashboards to identify alert conditions, pre-emptively take action and route tasks to available staff so to achieve goals with less resources.
Has a new language chained, pipelined ChatGPT-4 assistant (Beta version) to reduce staff burden and provide contextual personalized response to queries.
Use Cases
CDM program
ePRO, real-time risk / triaging
Program, patient analytics
Real-time collaboration
Remote/Hybrid care programs
Continuum of care visibility
Multiple specialty from one platform
In-clinic & Remote CDSS
Wellness clinics
Multi-Role workflows / dashboards
Expansion to support Lifestyle
Holistic education
Remote patient monitoring
Prioritization, Triaged patient queues
Monitoring devices integrated
Alert-based escalations workflows
Specialty clinics
Specialty focussed content
Personalized care pathways
Patient support solutions
Hospital-at-Home
Remote data/symptoms/adherence
Secure communications
Virtual Rounding & Collab
Reya is used by healthcare organizations to achieve EMRAMs level 7 compliance.
Our Common Framework
Generative AI - Co-Pilots, Companions and Assistants
Reya is innovating to combine AI LLMs (like ChatGPT-4), Reya MSK for AI, Population health profiles (No PHI) uniquely to explore high contextual personalization possibilities to reduce care team burden while increasing probabilities that patients are on right-line-of-care journey
Sophisticated Tools
Reya Proprietary Knowledge Datasets
We have a proprietary multi-specialty knowledge base (MSK) called Reya MSK for AI, built from many years of real-world field deployments of our applications across various specialties.
MSK acts as a digitalized structured, clinically oriented content and metadata repository of over 2000+ conditions, 300+ symptoms, and tens of other clinical objects each deeply nested with multiple attributes. This allows us to uniquely language chain, pipeline generative AI LLMs to deliver better contextual personalization upon queries.
WhatsApp-like Group chat
For Doctors:
Contextual dashboards, Triaged patient queues to save Time
For Patients:
Care Team Chat, Notifications, To-Do’s, Reminders to consistently Engage
For Nurses:
Alerts, Escalations, Prioritized queues to focus Attention
For Assistants:
Task-specific appointment requests, Call requests to enable Efficiency
Analytics
Real-time Decisions
Real-time decision making is handled by decision makers who are running daily operations and program management.
Examples:
Increasing or decreasing care team members for a program dependending on load
Increasing efforts to educate patients of a cohort depending on their engagement
Modifying a patient's medication regimen based on their response to treatment
Changing the frequency of telehealth appointments for a patient
Changing the type of IoMT devices used for a specific cohort
Reya enables dashboards specific to these personas to help them make better decisions that have a relatively short-term impact within weeks or months.
Program-level decisions
Program-level decision making is handled by decision makers who are looking at the overall goals and objectives of the program.
Reya enables dashboards specific to these personas to help them make better, informed decisions that have a relatively intermediate-term impact within 6 months or a year.
Examples:
Optimise resource utilization
Improving careplans depending on success rate
Expanding the remote care program to include more patients or healthcare providers
Implementing new guidelines or protocols for the remote care program
Improving care delivery by expanding or contracting cohort definition or streamlining workflow
Improving data infrastructure to cater to program needs
On-the-Fly Program Configuration
For the very first time, Reya helps healthcare providers with program configuration tools that manages both care and operational areas of the program. Configured changes do not need new deployments or releases, the changes can be made available in real time.
Reduces Development Dependency
Enhances Program Control
Improves Program efficiency
Betters Program Coordination
Enhances Customer/patient Experience
Improves Data collection and Analysis
Reya Low-Code Design Platform
Select and configure Remote/Hybrid care libraries and modules
- Use tried & tested remote care libraries and modules that can be utilized for specialty (or sub-specialty) care
- Use template-ized care plans tied to patient population cohorts for remote care protocols
- Ability to rapidly modify for different and/or localized patient scenarios
Select from tried & tested common remote care libraries and modules that are utilized in specialty (or sub-specialty) care, template-ized care plans and patient cohorts for remote care program management & workflows envisioned. Adjust, modify for localized patient scenarios.
Select and Configure Multi-specialty Knowledge and Content
- Leverage pre-existing specialty content, workflows & protocols such as conditions, symptoms, vitals to manage, other clinical content
- Configure attributes, labels, metadata of content objects to manage patients
- Ability to rapidly create and/or modify new content
Select from specialty protocols, conditions, symptoms, vitals, other specialty content, associated data models & attributes to manage patient remote care from Reya™ MSK (multi-specialty knowledge management system) or create new content & it’s metadata
Select and configure UI Experience / UX Interaction Widgets
- Use pre-existing UI widgets, components
- Determine user Interaction models based on patient / care team preferences & expectations
- Choose targeted user devices for engagement (such as smartphones only or mix)
- Mock visuals & user interactions with test patients / care team for feedback
- Ability to rapidly create and/or modify new UI/UX interaction widgets
- Incorporate branding guidelines
Select from UI widgets, components, interaction models based on user preferences, skills and targeted interaction devices (such as smartphones)
Select and configure Remote /Hybrid Care Workflows
- Patient handling flows and handoffs
- Care team resource assignments, remote care rounds timings
- Notification/alert/escalation schemes
- Patient risk assessment parameters and adjust flows per risk assigned
- Remote care program onboarding approach
- Care plans, modify plans, change approach and associated flows
- Ability to rapidly create and/or modify new workflows
Select from different capabilities such as hybrid/private cloud, digital automation technologies, analytics, enabling machine learning datasets, security, system monitoring, user authentication, application integration, device integration, deployment options, country-specific PHI requirements, white-labeling, etc
Select and configure Targeted Cloud Environment
- Hybrid/private cloud
- Determine plug'n'play options for infrastructure
- Security choices, system monitoring, user authentication options
- HIS/EMR systems integration, digital device integration
- Analytics, enabling machine learning datasets
- Various cloud deployment options
- Country-specific PHI requirements
- Digital automation options to scale up
Configure remote care program’s workflows, care team resource assignments, care team timings program, notification/alert/escalation schemes, patient risk assessment parameters, etc to match objectives of the remote care program
A Tailor-fit Remote/Hybrid Care Product
- Beta testing to quickly iterate and fine tune
- A Tailor-fit Remote Care technology solution that meets your need
- Thereafter quickly adjust and modify solution as needs evolve with patient experiences
A newly configured, optimized, specialty-focused Remote Care Program that meets your needs.
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Reya Technology
Workflow / Orchestration engine for alerts, routing, escalations, reminders, notifications, triaging, adherence, nudging, queueing
Secure WhatsApp-like multi-group, multi-threaded, nested Chat engine with multimedia support of text, voice, photos, videos, images, documents
New AI LLMs with non-PHI health data for language chained, pipelined Reya AI Agent model
Cloud configurations-based multi-level settings (location, clinic, dept, groups, roles) for control, monitoring, setup, management, administration
Telemedicine, video conferencing ready for synchronous communications role to role, group to group
IOT device integration with home devices such as glucometers, BP/weight devices, etc
EMR, HIS, Health-Applications integration ready via FHIR, HL-7, RESTful APIs and other techniques
HIPAA compliant, ADHICS compliant, data-at-rest encrypted, multi-cloud ready platform
Multiple language support - English & Arabic available today
Design and Technology patents granted in multiple countries worldwide
A New Level of User Experience
Visually rich and Clutter-free to enable better decisions that deliver best outcomes
Population Health
Many companies in the market today have solutions that support only Remote Patient monitoring. They build reactive systems where the emphasis is on just collecting data from patients. Reya, however, provides a single solution that brings Data, Patient, Care Team and Multi-specialty Knowledge under one roof. Our solution combines the concept of Remote Care and Continuous Personalized engagement thus powering multiple kinds of Real-time Population Health Management Solutions.
Reya is ready to meet your remote care program’s technology needs to configure and deploy a tailor-fit solution quickly that can scale across multiple specialties.
About Us
Reya Health Inc is a USA-based AI healthcare technology company with operations in USA, India and UAE. The Reya management team has many years of experience growing multiple successful entrepreneurial ventures from Silicon Valley. Reya, through its extensive real world field deployments, has collected proprietary medical knowledge datasets that are digital, structured and hierarchical in nature to enable highly relevant fine tuning and training of LLMs. These tuned LLMs are combined with several tools such as user collaboration and communication tools that operationalize supervised AI workflows to deliver breakthrough business outcomes.
Our Locations are in the heart of :
- Silicon Valley California in Saratoga
- Silicon Valley of India in Bangalore
- Salarpuria Tower-1, 7th Block Koramangala, Bangalore 560095
- Silicon Oasis in Dubai
- 10871 – 001, IFZA Business Park, Dubai Silicon Oasis
If you share our passion, come join our team.
Job Opportunities