Presentation (CTI)

OBJECTIVES: Describe how NICE’s EVA programme helps adopt technologies that have the potential to reduce waiting times or provide remote care, faster than the current formal evaluation process, which can take up to 38 weeks.
METHODS: NICE selects high-priority technologies for EVA when they show strong early potential. Unlike full NICE guidance, EVAs do not require a complete upfront evidence base since committees can review existing evidence and mandate evidence generation to address identified gaps. The EVA team suggests how to collect this data, using UK sources and real-world use giving technology developers an evidence generation plan to guide their evidence collection while allowing conditional NHS use. This streamlined process speeds adoption, ensuring timely use of the valuable technologies in the NHS while stronger evidence is collected. This approach ensures delivery of healthcare innovation that can improve patient outcomes.
RESULTS: To date, NICE has recommended 114 technologies for early NHS adoption through EVA, including several globally recognised AI tools. Some examples include virtual reality for agoraphobia, robot assisted surgeries, AI to help identify fractures, skin cancer and guide radiotherapy treatment, self-help cognitive therapies, diagnostic tool for genetic-guided antibiotic prescriptions to reduce childhood hearing loss and more. The successful integration of these technologies shows the effectiveness of the EVA programme in facilitating impactful and timely advancements in medical care.
CONCLUSIONS: EVA’s success sets an example of a new way to assess innovative healthcare technologies faster, more flexible, and focused on real-world use. By supporting safe innovation and smarter data collection, EVA helps the NHS keep up with change, improve care and help patients access the care they need more quickly.