Multidisciplinary Teamwork in the Design of DailyCog for Evaluating Mild Cognitive Impairment (MCI) in Parkinson’s Disease

Ariella Richardson, S. Rosenblum, S. Hassin-Baer
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引用次数: 2

Abstract

This study describes the development of DailyCog: an accessible, practical smartphone application for the detection of mild cognitive impairment in Parkinson’s disease. Cognitive impairment in Parkinson’s has been capturing researchers interest lately, as it may occur at early stages of the disease, and has a substantial impact on quality of life. In order to find the best markers of the initial stage of the cognitive decline we developed DailyCog - a smartphone application for the detection of mild cognitive impairment. This work focuses on the design considerations while working in a multidisciplinary team, building a common understanding, and bringing together knowledge from Occupational Therapy, Neurology and Computer Science to build an application for evaluating Mild Cognitive Impairment (MCI) in Parkinson’s Disease.
多学科团队合作设计评估帕金森病轻度认知障碍(MCI)的DailyCog
这项研究描述了DailyCog的发展:一个可访问的,实用的智能手机应用程序,用于检测帕金森病的轻度认知障碍。帕金森氏症的认知障碍最近引起了研究人员的兴趣,因为它可能发生在疾病的早期阶段,并对生活质量产生重大影响。为了找到认知衰退初期的最佳标志,我们开发了DailyCog——一款用于检测轻度认知障碍的智能手机应用程序。这项工作的重点是在一个多学科团队中工作时的设计考虑,建立一个共同的理解,并将职业治疗、神经学和计算机科学的知识结合起来,构建一个评估帕金森病轻度认知障碍(MCI)的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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