Journeys Metabolic offers an interoperable digital therapeutic platform that utilizes machine learning and precision interventions to standardize in-home care for metabolic diseases. This platform addresses the challenges of high healthcare costs and poor patient outcomes by enabling health systems to implement value-based care models that improve long-term population health metrics.
Funding
$4.6M 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
Health systems face challenges in proactively managing metabolic diseases, leading to poor patient outcomes, overwhelmed providers, and increased healthcare costs. Traditional approaches often fail to engage patients effectively and extend care beyond the clinical setting, hindering the shift towards value-based care models.
Solution
Journeys Metabolic offers a digital therapeutic platform designed to standardize and extend in-home care for patients with metabolic diseases. The platform leverages machine learning and precision interventions to personalize the patient journey, focusing on long-term behavior modification through self-actualization and engagement. By integrating with existing digital health ecosystems, Journeys Metabolic aims to close care gaps, improve patient outcomes, and enable health systems to succeed in value-based care arrangements. The system provides predictive analytics, deprescribing protocols, computer vision nutrition tracking, and biomarker validation to customize interventions and provide insightful data for both patients and providers.
Target Audience
The primary target audience includes health systems, Accountable Care Organizations (ACOs), and providers seeking to improve metabolic disease management, enhance patient engagement, and transition to value-based care models.
Features
- AI-supported behavioral archetypes driven by claims data, learning styles, readiness, and health literacy to personalize the patient journey.
- Self-Actualization Model to create sustainable lifestyle and behavior changes, demonstrated by an average of 8% total body weight loss maintained over 2.2 years in legacy protocols.
- HITRUST-certified, EHR-interoperable solution targeting key HEDIS scores to improve patient outcomes and optimize value-based care payments.
- Predictive analytics and deprescribing protocols using machine learning to provide remission timelines and medication impact insights.
- Computer vision nutrition tracking and a proprietary device for fat burn data to close the feedback loop and customize interventions.