Analytics As A Service (AaaS) –
Turning Healthcare Data into Decisions with Verus Analytics

The healthcare ecosystem – spanning providers, payers, pharma, medical and biotech- is awash in data but short on clarity. Critical decisions, from clinical strategy to market access, rely on complex and fragmented information: EHR entries, claims histories, registries, therapy patterns, diagnostic codes, referral flows, and compliance requirements are just a few such examples.

Verus’ data analytics services turn disconnected data into actionable intelligence, enabling smarter decisions, sustainable competitive advantage and confident compliance.

Data Analytics Services Providing Actionable Insight

Reduce Launch and Program Risk

Size opportunities, pick the right patient segments, and forecast uptake with defensible models, stakeholders accept.

Accelerate Evidence Generation

Streamlined pipelines turn EHR/claims/registry data into analysis-ready assets and dashboards.

Improve Market Access and Reimbursement

Link outcomes to cost and craft payer-ready value stories backed by rigorous analytics.

Strengthen Compliance & Governance

SOC 1 controls keep programs audit-ready, secure and data safe.

Scale without Friction

A seasoned team, automation, and model ops let you ramp up quickly as studies or portfolios grow.

Why Verus

Seasoned team of data scientists, data engineers and statisticians with decades of experience in statistical, actuarial, forecasting, and predictive modeling disciplines.

Life Sciences fluency (KOL identification, ROI modeling, market segmentation and gap analysis, comorbidity analytics) that shortens the path from question to answer.

Compliance with SOC 1 controls.

Capacity to scale quickly as portfolios grow.

What We Deliver

Predictive & Actuarial Forecasting

Verus transforms historical claims data, epidemiology-based assumptions, and real time portfolio information into forward-looking actuarial forecasts. Our models project claim incidence, severity, timing, and financial exposure over the life of a matter, enabling disciplined planning and scenario analysis as conditions evolve.

KOL Analytics

Verus identifies and analyzes key opinion leaders by mapping influence, relationships, and activity across medical, and scientific networks, helping clients understand who shapes narratives, drives outcomes, and impacts go-to-market strategy.

Patient Finding and Segmentation

Verus uses data-driven methods to identify and locate potential claimants or patients within large populations by analyzing medical, exposure, and demographic signals, helping clients surface high value or under-represented cohorts earlier and more efficiently.

HEOR/RWE Analytics

Verus leverages real-world data sources to analyze how treatments, exposures, and interventions perform in real world environments, providing practical, population-level evidence to inform strategy, forecasting, and decision-making.

Signal Surveillance & Safety Analytics

Verus analyzes real world evidence and population-level trends to identify, monitor, and contextualize potential safety signals, helping organizations assess risk earlier and respond with greater clarity and confidence.

Commercial Analytics

Verus applies advanced analytics to medical claims and related real-world data to evaluate market dynamics, customer behavior, and revenue drivers, supporting data-driven decisions around growth strategy, portfolio optimization, and commercial performance.

Data Pipelines & Portals

Verus designs secure, scalable data pipelines that integrate medical claims and healthcare data into a unified, governed environment, enabling reliable access to timely, consistent analytics across stakeholders.

Speaker Program & Audience Identification

Verus combines KOL identification methods with medical claims data to identify high impact speakers and precisely define target audiences, linking influence with real world treating behavior to ensure programs reach the clinicians most relevant to patient care and clinical decision making.