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Health Economics & Outcomes Research

Health-economics-&-outcomes-research-analytics

Health economics & outcomes research (HEOR) 

Real-world evidence (RWE)-based treatment publications to meet the growing value-based pricing, market access, and reimbursement requirements.

HEOR publications to guide managed care decisions

Increased focus on value-based pricing means that life sciences companies need to embrace the “volume-to-value” shift in their organizational DNA. The pressure to systematically demonstrate RWE-based value as medical publications is more significant than ever before – critical to ensuring desired pricing, coverage, and reimbursement throughout the product’s lifecycle.

A sound HEOR capability is crucial for publication planning to guide decision-makers on meeting global patient-access demands.

Health-economics-&-outcomes-research

Read Blog / Crucial HEOR analytics for the cardiovascular community

Meeting the global HEOR demands with strategic partnership and analytics

A growing need for HEOR

Axtria’s HEOR capabilities
Increasing value-based assessments
 

Disparate evidence generation and poor management

Increasing RWE consumers across commercial functions

Increasing pricing pressure-driven value demonstration need

Axtria’s HEOR capabilities

Evidence publications management across the product lifecycle

Robust data management expertise across real-world datasets

Advanced health economics publications and evaluation modeling skills

Clinical expertise and value assessment -driven budget impact models

High-impact solutions offered

Differentiated modeling studies

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Domain
knowledge

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Technical
expertise

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Customizability
& agility

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Innovation

  • Deep understanding and experience of diverse datasets
  • Deep therapeutic area expertise
  • Team of experienced modelers, statisticians, and academic writers
  • Extensive HEOR/RWE modeling experience
  • Proactive engagement with key stakeholders to design easily scalable and adaptable models
  • Statistically robust and clinically sound models
  • Design solutions that can withstand scrutiny during evidence dissemination
  • Continuous efforts towards implementing disruptive modeling approaches