MesslyFLOW - AI and machine learning powered clinical and non-clinical decision support tool for doctors

MesslyFLOW - 为医生提供人工智能和机器学习支持的临床和非临床决策支持工具

• 批准号: 133846
• 金额: $ 6.69万
• 依托单位: BERDROOT DEVELOPMENTS LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133846
• 关键词: MesslyFLOW; AI; machine; learning; powered

"MesslyFLOW is an AI and machine learning powered clinical and non-clinical decision support tool for doctors. This will provide doctors with rapid and reliable access to critical information, both clinical (national and hospital clinical and antibiotic guidelines, treatment policies) and non-clinical (making referrals, booking scans).Currently, doctors struggle to access information critical to their jobs. This information is spread across disparate locations such as hospital intranet, paper resources, online resources (such as NICE and BNF) and numerous doctor-apps such as Induction and is not easily accessible by doctors on the move.MesslyFLOW will aggregate, ingest and sort information from multiple sources and apply an intelligent layer to assess what information or action is needed. Information is passed to the doctor and, where appropriate, the action (such as completing a form) will be initiated. Doctors will make queries through a voice and text interface on mobile devices.This will integrate with resource databases via APIs to ensure data is up to date, and interface with and hospital processes. Future development will integrate into hospital EHR systems to integrate patient information.This enables faster, more reliable access to the information needed to best treat patients and efficiently operate within the hospital. Making doctors more efficient and effective will reduce workforce demands to save money and, most importantly, enable better care for patients.The aim of the Feasibility Study is to assess the commercial and technical viability of this approach, including defining the technical roadmap and architecture, go-to-market plan and pricing, as well as defining the business plan and steps to commercialisation.This is innovative because no AI-powered clinical decision support tool is currently in use within the UK, although this technology is being used in patient-facing solutions.This will subsequently be expanded to other healthcare workers and potentially other industries outside healthcare, and internationally.Messly operates the largest and most active medical professional network in the UK, with over 15,000 registered doctors. Doctors use Messly to connect, share information and stay up-to-date, including access to certain clinical and non-clinical resources and information. Messly has high credibility and brand reputation amongst doctors. We also operate Messly Locum (ML), a technology that helps NHS Trusts find and connect with doctors to fill temporary shifts in their hospitals. This launched in late 2016, and is now live in 7 NHS trusts."

“MesslyFLOW是一款为医生提供人工智能和机器学习支持的临床和非临床决策支持工具。这将使医生能够快速、可靠地获得临床（国家和医院临床和抗生素指南、治疗政策）和非临床（转诊、预约扫描）的关键信息。目前，医生很难获得对他们工作至关重要的信息。这些信息分散在不同的位置，如医院内部网、纸质资源、在线资源（如NICE和BNF）以及许多医生应用程序（如Induction），并且不容易被移动中的医生访问。MesslyFLOW将聚合、摄取和排序来自多个来源的信息，并应用智能层来评估需要哪些信息或操作。信息被传递给医生，并在适当的情况下启动操作（例如填写表单）。医生将通过移动设备上的语音和文本界面进行查询。这将通过api与资源数据库集成，以确保数据是最新的，并与医院流程接口。未来发展将集成到医院EHR系统中，整合患者信息。这使得能够更快、更可靠地访问所需的信息，以便最好地治疗患者并在医院内有效地运作。提高医生的效率和效力将减少劳动力需求，从而节省资金，最重要的是，能够更好地照顾病人。可行性研究的目的是评估这种方法的商业和技术可行性，包括定义技术路线图和架构，进入市场计划和定价，以及定义商业计划和商业化步骤。这是一项创新，因为英国目前还没有使用人工智能驱动的临床决策支持工具，尽管这项技术正在用于面向患者的解决方案。这随后将扩展到其他医疗保健工作者和潜在的医疗保健以外的其他行业，以及国际上。梅斯利运营着英国最大、最活跃的医疗专业网络，拥有超过15,000名注册医生。医生使用Messly来连接、共享信息并保持最新状态，包括访问某些临床和非临床资源和信息。在医生中有着很高的信誉度和品牌美誉度。我们还运营着Messly Locum (ML)，这是一项帮助NHS信托基金找到并联系医生的技术，以填补医院的临时轮班。该服务于2016年底推出，目前已在7家NHS信托机构上线。”