Health technology assessment (HTA) is an important process to inform national and local deliberations about allocating resources and achieving the best clinical health and quality-of-life outcomes. As exploration of a systematic, centralized process for review of drugs and other health interventions in the U.S. accelerates, the Innovation and Value Initiative (IVI) believes there is a need to define the principles that must guide future policy and practice.

An overarching theme in these principles is defining best practice in the applied use of health technology assessment; there must be consensus among stakeholder communities on the most effective methods and use cases that are relevant to the U.S. marketplace.

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Hover over each principle for more detail.

Sustains Authentic Patient-Centricity

Sustains Authentic Patient-Centricity

Health technology assessment must consistently establish diverse patient partnerships in governance, priority setting, and the creation of models. Assessors should lead robust research in patient preference and data improvement to ensure value assessment is authentic and relevant to the diverse patient experience.

Advances Transparency

Advances Transparency

Health technology assessment in the U.S. should accelerate the development of open-source modeling and application to improve stakeholder trust and establish open dialogue. Assumptions and coding should be transparent to allow public validation and stimulate replication across disease and interventional analyses.

Cultivates Modernized Methods

Cultivates Modernized Methods

Health technology assessment initiatives must support the evolution of traditional cost-effectiveness analyses and complementary approaches that address societal perspectives and broader cost parameters, as well as reduce discrimination and disparities based on patient heterogeneity or disability.

Focuses Value Discussion Across Treatment Interventions

Focuses Value Discussion Across Treatment Interventions

Health technology assessment must evolve beyond siloed comparisons within a class or intervention type to consider benefit, risk, and trade-offs for optimal treatment approaches.

Improves Clinical and Real-World Data

Improves Clinical and Real-World Data

Health technology assessment must define priorities for data resource investments, including patient-provided information such as burden of disease, patient preferences, patient reported outcomes and impacts, and clinical endpoints. The standardization of real-world data generation and the practical application of data sources in health technology assessment must be prioritized.

Facilitates Customizable Decision-Making

Facilitates Customizable Decision-Making

Decision-maker needs (e.g., employer, purchaser, payer, and those shared by clinician and patient) should inform the development of health technology assessment methods and tools. In turn, such resources should include customizable analyses and tools to support localized decisions.

Adapts To and With Evolving Evidence

Adapts To and With Evolving Evidence

Health tecnology assessment must contribute to a continuous learning environment. Model developers can do this by accounting for scientific uncertainty, patient heterogeneity, and evolving evidence related to disease states and clinical outcomes, quality-0f-life impacts, and disparities in care.

Supports Health Equity

Supports Health Equity

Health technology assessment should facilitate sub-group and distributional impact analyses; drive improved methods in clinical, outcomes, and preferences research to reflect diverse communities and experiences; and inform policy dialogue about improving access and equity.

Fosters Long-Run Innovation

Fosters Long-Run Innovation

Health technology assessment must be able to recognize and distinguish transformative therapies and inform national dialogue about incentivizing and rewarding technological innovation.