Prognos Review
VisitClinical data analytics for healthcare and life sciences
Prognos is a healthcare data analytics platform for life sciences and healthcare organizations.
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Clinical data analytics for healthcare and life sciences
Prognos is a healthcare data analytics platform for life sciences and healthcare organizations.
AI Panel Score
0 AI reviews
Prognos Health provides a data and analytics platform that ingests clinical lab results, medical claims, and other structured healthcare data, then applies machine learning models to identify disease patterns, flag undiagnosed or misdiagnosed patients, and track treatment progression over time. Users, typically analysts and commercial teams at pharmaceutical and life sciences companies, access this data through dashboards and data feeds to inform decisions about patient targeting, market sizing, and clinical trial planning.
The platform's core differentiator is its diagnostic lab data network, which the company states draws from a large portion of adjudicated lab results across the U.S. adult population. On top of this data, Prognos builds condition-specific algorithms intended to detect disease earlier or more accurately than claims data alone, covering therapeutic areas such as oncology, cardiology, nephrology, and endocrinology. The platform also supports real-world evidence generation, patient journey mapping, and commercial analytics use cases like sales force targeting and market access strategy.
Prognos Health is aimed at pharmaceutical manufacturers, life sciences commercial and market access teams, and healthcare payers who need lab-based patient insights rather than general population health management tools. Pricing is not published and is handled through direct sales, consistent with enterprise healthcare data platforms. Comparable products in this space include Komodo Health, IQVIA, and Truveta.
The platform is delivered as a cloud-based service accessed via web dashboards and data delivery pipelines, with data integration built for enterprise clients in pharmaceutical and payer organizations rather than individual consumer use.
Over 900 proprietary and learning clinical algorithms that interpret raw lab data to identify and predict patient risk and enable earlier diagnosis.
Machine learning algorithms fill in missing provider information (such as NPI), identify test value outliers for validation, and tag lab tests across hundreds of millions of records.
Leverages deep genomic and biomarker data to identify and reach rare and ultra-rare patient populations for targeted research and commercialization.
Sophisticated healthcare provider segmentation tools that identify the right HCPs to educate at the right time, driving timely and sequential commercial messaging.
Combines lab and claims data to map diagnostic patterns, treatment initiation, continuation, and switches for a given patient population.
A machine-learning model applied to laboratory, prescription, and claims data that predicts future 12-month medical costs for prospective health insurance member groups.
Proprietary technology with 500,000+ rules that consolidates schemas, tokenizes and deduplicates patient records, and standardizes units, terminology, and medical coding (ICD, LOINC) across diverse lab sources.
A comprehensive marketplace and registry aggregating harmonized clinical lab and genomic data covering over 45 billion health records for 325 million de-identified patients across 50+ therapy areas.
Data and analytics are accessible through major cloud and data platforms including AWS Marketplace, Google Cloud Marketplace, Snowflake Marketplace, and Databricks Marketplace.
All data purchased through Prognos is available on the Datavant token, making it interoperable with other patient-level datasets such as claims, EHR, and prescription data.
A HIPAA-compliant, cloud-based platform serving as a single source for lab data results, providing broad connectivity to labs and delivering transformed data to payers via secure web services.
Simplifies access to high-fidelity, ready-to-use clinical and genomic real-world laboratory data that can complement existing data or serve as a comprehensive analytics solution.
Prognos (Prognos Health) is an enterprise healthcare data and analytics platform serving pharmaceutical manufacturers, payers, and life sciences companies; pricing is customized based on data scope, use case, and contract terms, requiring direct contact with the vendor.
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Common questions answered by our AI research team
Prognos aggregates clinical lab data, claims data, and other healthcare datasets.
Prognos builds predictive models for conditions such as diabetes, kidney disease, and cardiovascular disorders.
Prognos uses both claims data and clinical lab data, not just labs.
Prognos states its diagnostic-focused data network covers lab results from a large share of the U.S. adult population.
