Nature Reviews Neurology ( IF 28.2 ) Pub Date : 2024-10-25 , DOI: 10.1038/s41582-024-01033-y Mathias Holsey Gramkow, Gunhild Waldemar, Kristian Steen Frederiksen
Several major challenges, including an ageing population and declining workforce and the implementation of recent breakthrough therapies for Alzheimer disease, are prompting a necessary rethink of how people with neurodegenerative dementias are diagnosed and medically managed. Digital health technologies could play a pivotal part in this transformation, with new advances enabling the collection of millions of data points from a single individual. Possible applications include unobtrusive monitoring that aids early detection of disease and artificial intelligence-based health advice. To translate these advances to meaningful benefits for people living with a disease, technologies must be implemented within a system that retains the physician expert as a central figure in decision-making. This Perspective presents a new framework, termed the Digitized Memory Clinic, for the diagnostic pathway of neurodegenerative dementias that incorporates digital health technologies with currently available assessment tools, such as fluid and imaging biomarkers, in an interplay with the physician. The Digitized Memory Clinic will manage people across the entire disease spectrum, from the detection of risk factors for cognitive decline and the earliest symptoms to dementia, and will replace the present paradigm of a pure ‘brick-and-mortar’ memory clinic. Important ethical, legal and societal barriers associated with the implementation of digital health technologies in memory clinics need to be addressed. The envisioned Digitized Memory Clinic aims to improve diagnostics and enable precise disease-tracking prognostication for individuals with memory disorders and to open new possibilities, such as precision medicine for prevention and treatment.
中文翻译:
数字化记忆诊所
几项重大挑战,包括人口老龄化和劳动力下降以及最近针对阿尔茨海默病的突破性疗法的实施,正在促使人们重新思考如何诊断和医学管理神经退行性痴呆症患者。数字健康技术可以在这一转型中发挥关键作用,新的进步使人们能够从单个个体收集数百万个数据点。可能的应用包括有助于早期发现疾病的隐蔽式监测和基于人工智能的健康建议。为了将这些进步转化为对疾病患者有意义的好处,必须在一个系统中实施技术,该系统将医生专家作为决策的核心人物。该观点提出了一个称为数字化记忆诊所的新框架,用于神经退行性痴呆症的诊断途径,该框架将数字健康技术与当前可用的评估工具(例如液体和成像生物标志物)相结合,与医生相互作用。数字化记忆诊所将管理整个疾病谱的人们,从检测认知能力下降的风险因素和最早的症状到痴呆,并将取代目前纯粹的“实体”记忆诊所的范式。需要解决与在记忆诊所实施数字健康技术相关的重要道德、法律和社会障碍。设想中的数字化记忆诊所旨在改善诊断,为记忆障碍患者提供精确的疾病追踪预测,并开辟新的可能性,例如用于预防和治疗的精准医学。