Abstract

IntroductionDigital health care is a rapidly growing and increasingly diverse area of medicine and social care. Health technology assessment (HTA) agencies around the world are engaging with digital health technologies and developing methods for appropriately assessing their value. Given our experience in HTA for pharmaceuticals and how methodologies must differ when assessing medical devices and diagnostics, we must be proactive in rapidly developing useful methods for assessing a variety of digital health technologies.MethodsWe will first present the results of two completed HTAs from the UK and contrast their methods and results, while looking at the UK approach to assessing digital health care in general. Next, we will present preliminary results from an ongoing consensus conference study of HTA’s for integrated digital technologies. This study will use a modified Delphi methodology to develop statements for discussion at a consensus conference. The primary research question is “how digital technologies can help build resilient healthcare systems and how HTAs can assess their value”.ResultsAn HTA conducted in the UK of an artificial intelligence-enabled ambulatory electrocardiogram device resulted in a recommendation for further real-world evidence generation. Another HTA of a digital therapeutic app for insomnia, which was also conducted in the UK, resulted in a positive recommendation but the process was lengthy and needed to be flexible. The preliminary results of an upcoming consensus conference study will also be presented. The consensus panel will consist of a range of stakeholders from digital experts, HTA practitioners, clinicians, health economists, industry representatives, and policy makers.ConclusionsDigital technology is now a broad field with a wide range of very different technologies included in its definition. Questions remain as to whether digital technologies should be assessed using a traditional pharma-based framework for HTA, a MedTech model, or something else entirely. Given our past experience of developing flexible methods for HTA, we have an opportunity to develop useful recommendations and best practices from the ground up.

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