A Human-centred Machine Learning system to Analyse and Predict Patient Flow through Hospitals

以人为本的机器学习系统，用于分析和预测医院的患者流量

• 批准号: 2600578
• 金额: --
• 依托单位: Swansea University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2600578
• 关键词: Human; centred; Machine; Learning; system

This PhD, which will develop data visualisation and Machine Learning-based predictions of patient flows through a hospital, will require an empirically grounded socio-technical understanding of the use of the Signal digital whiteboard system within hospitals within Swansea Bay UHB. This system contains a wealth of patient information and interlinks with otherhealthcare systems. Signal has multiple views, which display specific information for different teams and locations of the hospital, providing healthcare practitioners the vital and most relevant information for them at each given opportunity. In this challenging context, the student will need to understand practically how these teams make use of specific data, the type and temporality of the information, and actions taken by practitioners.

该博士学位将开发数据可视化和基于机器学习的患者流量预测，将需要对斯旺西湾UHB医院内使用Signal数字白板系统的经验基础社会技术理解。该系统包含丰富的患者信息，并与其他医疗保健系统互连。Signal具有多个视图，可显示医院不同团队和位置的特定信息，为医疗保健从业人员提供每次机会时最重要和最相关的信息。在这种具有挑战性的背景下，学生将需要实际了解这些团队如何利用特定的数据，信息的类型和时间性，以及从业者采取的行动。