Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
AI-driven precision oncology platform for data-informed clinical decisions and real-world evidence.
Oncora Medical is a specialized digital health platform designed to unify clinical, imaging, and treatment data for oncology centers. By 2026, its architecture has evolved into a robust Real-World Evidence (RWE) engine that leverages machine learning to predict patient-specific outcomes and toxicities. The system integrates directly with Electronic Medical Records (EMR) like Epic and Cerner, as well as Oncology Information Systems (OIS) such as Varian ARIA and Elekta MOSAIQ. Its core technical advantage lies in its proprietary data harmonization layer, which transforms fragmented clinical notes, DICOM files, and longitudinal treatment data into a structured format suitable for predictive modeling. Positioned at the intersection of clinical care and research, Oncora provides physicians with a comparative analysis of historical patient outcomes to optimize current treatment plans. This predictive capability is coupled with automated quality reporting tools that satisfy MIPS and OCF requirements, significantly reducing the administrative burden on clinical staff while enhancing the precision of radiation oncology workflows.
Uses Bayesian networks and neural networks to predict the likelihood of grade 2+ toxicities based on dose-volume histograms (DVH).
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.
NLP-driven extraction of quality metrics from clinician notes to populate CMS reporting templates automatically.
A longitudinal view of patient cohorts comparing planned vs. actual outcomes across a multi-center network.
A structured database that stores de-identified patient data for retrospective research and machine learning.
Cross-references patient molecular and clinical profiles with active trial inclusion/exclusion criteria in real-time.
Correlates spatial dose distribution in radiation therapy with long-term survival and side-effect data.
A robust middleware that handles proprietary data formats from various radiotherapy machine vendors.
Radiation to the head and neck often causes severe dysphagia.
Registry Updated:2/7/2026
Patient receives a modified plan with lower toxicity risk.
Clinicians spend hours manually tracking quality metrics for CMS.
Eligible patients are often missed due to complex trial criteria.