Press release: AI-Driven Patient Detection Surfaces Approximately 1,200 Likely-Undiagnosed GEP-NET Patients in UK Primary Care
Volv Global applied machine learning to 24M UK primary care records, surfacing ~1,200 undiagnosed GEP-NET patients, 5...
Volv Global provides data-driven understanding of disease endpoints and outcomes to support pricing and reimbursement calculations, regulatory and HTA submissions, payer evidence packages and comparative economics studies with real-world evidence.
Analyse real-world treatment pathways and their effectiveness to define more precise endpoints for better analysis of disease progression and outcomes.
Compare treatment effectiveness via analysis of real-world outcomes of different intervention.
Identify cohorts more precisely and at an early stage for better longitudinal assessment of patient health outcomes.
Understand the real-world impact on quality of life and healthcare utilisation for payer evidence packages and comparative economic studies
Value, access and HEOR in the face of complexity
Integrating real-world evidence (RWE) to understand the real-world clinical, economic, and social impact of disease on quality of life and healthcare utilisation.
Disparate healthcare systems and patient populations create inconsistent datasets lacking standardised outcome measures.
Linking medical records to cost-related data is often difficult.
Differences in healthcare access across regions affect generalisability of findings.
Supporting Clinical Development
We find undiagnosed and misdiagnosed patients, expanding the pool of patients for clinical trial recruitment.
We find patients before the development of traditional symptoms, before they are given conventional therapies.
We enable triage of patients according to prognosis of outcomes, e.g., fast progressors, or progressors to more acute symptoms.
We differentiate and cluster heterogeneous patient cohorts for more accurate definition of trial inclusion and exclusion criteria.
Leading AI/ML methodology to support Value and Access, HEOR
Through comprehensive data integration from clinical and claims sources, inTrigue equips Value & Access and HEOR teams to quantify the real-world performance of therapies. By merging clinical, claims, and other healthcare data, inTrigue provides a holistic view of disease burden, allowing for robust cost-effectiveness and outcomes analyses. This data-backed insight aids stakeholders in demonstrating value to payers, supporting earlier detection strategies, and ultimately enhancing patient access through clearer evidence of a therapy’s impact.
Shaping the future today
Volv Global applied machine learning to 24M UK primary care records, surfacing ~1,200 undiagnosed GEP-NET patients, 5...
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