Select Page

Health Economics and Outcomes Research


Health economics and 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.


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 life cycle

Robust data management expertise across real-world data sets

Advanced health economics publications and evaluation modeling skills

Clinical expertise and value assessment-driven budget impact models

Download White Paper / The relationship between drug price controls and patient health outcomes

High-impact solutions offered

Differentiated modeling studies






and agility



  • Deep understanding and experience of diverse data sets
  • Deep therapeutic area expertise
  • A 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