Adaptive health technology assessment informing guidelines

In the present era, global decision-makers encounter numerous challenges when it comes to allocating optimal health care to their populations, primarily due to limited resources. While technology has seen remarkable advancements, determining which technologies are useful and possess robust clinical and economic evidence is paramount for informed decision-making. Health Technology Assessment (HTA) and clinical guidelines employ health economic models to aid in this process. However, these models demand significant resources and collaborations from diverse groups of experts, bodies, and organizations. Consequently, decision-making bodies are actively exploring the adoption of adaptive HTA (AHTA) as an alternative approach. AHTA involves leveraging published decisions based on health economic modeling from other countries, allowing for more efficient utilization of available data. This article delves into the essential steps and processes employed in conducting AHTA and exemplifies its application in the oncology guidelines of the National Cancer Grid in India.