TabCAT 对比 Linus Administrator 的使用情况和统计数据

The Tablet-based Cognitive Assessment Tool (TabCAT) is an application developed at University of California San Francisco for the administration of clinical and research tools. The variety of tools available on TabCAT includes cognitive tests of executive function, memory, language, motor skills, and visuospatial skills. It also includes a set of multidimensional questionnaires that are subject-facing, informant-facing, or examiner-facing. TabCAT tools are designed for use in diverse settings, and automated administration and scoring ensure high precision and standardization of measurement. The tests can be used for assessment and longitudinal monitoring of cognitive and behavioral abilities in adults.
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The Linus Health platform – a suite of digital cognitive assessment, clinical decision support, and intervention solutions – helps providers catch cognitive impairment early and efficiently; turn insights into action; and boost the bottom line. Augmenting human expertise with cutting-edge AI, the platform brings visibility to early, subtle signs of cognitive issues that traditional paper-based tests may miss and empowers providers with actionable recommendations. The Linus Health Administrator app allows existing customers to register patients, administer cognitive assessments, and route results to providers quickly and easily. Using an iPad and Apple pencil, patients complete assessments with minimal oversight. With automatic scoring and interpretation, results are immediately available to providers.   Key features and functionality support a smooth clinical workflow: • Enroll a patient (name & demographics) • Select assessments • Assign to a provider for interpretation of results • Administer assessments • Immediate sync with the Linus web portal for clinicians to view results Core Cognitive Evaluation™ Combines quantitative insights from our next-generation digital assessment with qualitative insights from a life and health questionnaire, helping providers understand both a patient’s current cognitive status and future dementia risk. DCTclock™ Uses advanced machine-learning algorithms to provide nuanced measures of motor, cognitive, and time-based performance that are not visible to the naked eye or captured by the traditional clock drawing tests. DCR™ - Digital Clock and Recall Uses advanced machine-learning algorithms to detect subtle signs of cognitive impairment by analyzing the patient's drawing behavior and speech during the digital clock drawing tasks and 3-word verbal recall.
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TabCAT与Linus Administrator排名比较

对比 TabCAT 与 Linus Administrator 在过去 28 天内的排名趋势

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TabCAT 对比 Linus Administrator 的排名,按国家/地区比较

对比 TabCAT 与 Linus Administrator 在过去 28 天内的排名趋势

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TabCAT VS.
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十二月 15, 2024