Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Prescriptive Clinical AI for preventing patient harm through impactability-driven insights.
Jvion, now a cornerstone of the Med-Metrix ecosystem, represents the 2026 standard for Clinical Prescriptive Analytics. Unlike traditional predictive models that merely forecast adverse events, Jvion’s CORE (Clinical Outcome REadiness) engine utilizes a sophisticated multi-dimensional approach to identify 'impactable' patients—those whose clinical trajectories can actually be altered through specific interventions. The architecture integrates massive datasets, including clinical EHR data, claims, and over 4,500 non-clinical factors (Social Determinants of Health), to provide a longitudinal view of patient risk. In the 2026 market, Jvion distinguishes itself by moving beyond 'black box' AI, offering transparent clinical rationales that explain the 'why' behind a risk score. This allows healthcare providers to address preventable harm such as readmissions, sepsis, and pressure injuries before they occur. The platform's ability to normalize exogenous data (socioeconomic, environmental) alongside endogenous clinical data makes it an essential tool for Value-Based Care (VBC) organizations looking to optimize resource allocation and improve population health outcomes.
A proprietary AI architecture that processes clinical and non-clinical data to determine the physiological and environmental state of a patient.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Geospatial visualization of community-level risk factors including food deserts, transportation barriers, and air quality.
Provides the top 3-5 specific clinical interventions recommended to mitigate a patient's specific risk profile.
Aggregates data from multiple disparate sources to create a unified timeline of patient health events.
Leverages pre-trained base models that require minimal local data to begin providing value.
Specific algorithms designed to identify patients at risk for self-harm or substance abuse escalation.
Dynamic patient list management that ranks patients based on real-time clinical urgency and impactability.
Identifying patients who appear stable at discharge but have high environmental or social risks that lead to readmission.
Registry Updated:2/7/2026
Prescriptive guidance suggests arranging home health and transportation vouchers.
Case manager executes the specific interventions suggested by the AI.
Detecting sepsis signals hours before vital signs show traditional clinical distress.
Identifying patients at risk for bedsores who might be missed by manual Braden Scale assessments.