Context Aware Review dataset

Context awareness is an emerging field in pervasive computing with applications that have started to emerge in medical systems. The present work seeks to determine which contexts are important for medical applications and what various domains of context aware applications exist in healthcare. Methods: A systematic scoping review of context aware medical systems currently being used in healthcare settings was conducted. A search strategy was designed and applied to 8 databases, articles were then filtered based on their abstract, and then relevant articles had a screening questionnaire applied to their full texts prior to data extractions. Applications were grouped into context aware healthcare application domains based on past reviews and the results of the screening. Results: A total of 23 articles passed all screening levels and underwent data extraction. The most common contexts used were the user location (8/23 studies), demographic info (5/23 studies), movement status/activity level (6/23 studies), time of day (5/23 studies), phone usage patterns (5/23 studies), lab/vitals (7/23 studies), and patient history data (8/23 studies). Conclusions: The present work demonstrates that context aware healthcare applications are still in their infancy but have started to reach healthcare providers and patients. Significance: The present work has illuminated many of the early successful context aware healthcare applications. Additionally, the pivotal contexts leveraged by these systems have been discovered allowing future systems to focus on prioritizing the integration of these key contexts.

情境感知是普遍计算领域内新兴的研究领域，其在医疗系统中的应用已初露端倪。本研究旨在探究对医疗应用至关重要的情境因素，以及存在于医疗保健领域的各类情境感知应用领域。研究方法：对当前在医疗环境中使用的情境感知医疗系统进行了系统性的范围综述。设计并应用了一种搜索策略于8个数据库，随后根据文章的摘要进行筛选，并对筛选出的相关文章的全文进行了筛选问卷，在数据提取之前。根据过去的综述和筛选结果，将这些应用分组到情境感知医疗应用领域。研究结果：共有23篇文章通过了所有筛选阶段，并进行了数据提取。最常用的情境包括用户位置（23项研究中8项）、人口统计信息（23项研究中5项）、运动状态/活动水平（23项研究中6项）、一天中的时间（23项研究中5项）、电话使用模式（23项研究中5项）、实验室/生命体征（23项研究中7项）和患者历史数据（23项研究中8项）。结论：当前工作表明，情境感知医疗应用尚处于起步阶段，但已开始触及医疗保健提供者和患者。意义：本研究揭示了众多早期成功的情境感知医疗应用，并发现了这些系统所依赖的关键情境，从而使得未来的系统可以聚焦于优先整合这些关键情境。