Kettering Hospital builds ‘Mary Bot’ to automate Covid reporting

Kettering医院建造Mary Botto自动Covid报告

2021-01-14 07:02:37 digitalhealth


When the Covid-19 pandemic started to take hold, Kettering General Hospital had to find innovative ways to save staff time and streamline services. The solution? Robots, of course. When thinking about robotics it’s easy for the imagination to take over and before you know it you’re picturing Terminator-style robots, but the solution is far more simple than that. Kettering set out to use robotic process automation to create the trust’s daily Covid-19 situation report. All hospitals are required to submit a daily situational report including the number of beds available, whether those beds have oxygen available, the equipment available at the hospital and the availability of staff. It’s a lot of data from several departments that needs to be crunched, often taking up valuable staff time. It’s also data that software is capable of managing which can help free up staff time for patient care. Ian Roddis, digital director at the trust, told Digital Health: “We are in the business of freeing up the time of staff who are doing repetitive, possibly mundane, and inefficient tasks – we let the software do it for them. “This then frees up their time to do other tasks and, where we can, give time back to supporting patient care.” Working with Foundry4 as part of the NHSX AI Lab project, Kettering Hospital launched a robotic process automation that saves an estimated 4,400 staff hours per year – or about £150,000. Dubbed ‘Mary Bot’, affectionately named after the trust’s IT lead, the system automatically takes data from the hospital’s Medway patient administration system, provided by System C. It also collates data from the HR system and bed management system, covering the hospitals 50 wards, before producing the Covid-19 situational report to be submitted to NHS England by 11am every day. All the trust needed to do was provide Mary Bot with a login account to access the data. “Having electronic sources of this data and having robots fetching it at the right time, we could focus on making sure the right data was input and available for robots to pick up, rather than have folks walking around using paper,” Roddis said. “The two main things for me were the saving of time to allow human beings to do what human beings do best, but also reduction of error. “For me, this automation of reporting on patient flow helps clinical decision making. Things like ‘where do I put patients’ or ‘how do I treat them’ or ‘are we meeting patient needs in a timely manner’.” Ciara MacCooey, managing director of automation at Foundry 4, told Digital Health it would be “fairly straightforward” to implement a system like Mary Bot in another trust. Depending on the complexity of the system required, it takes anywhere between 10 to 25 days to build the robot, MacCooey said. “We need to work with the IT teams to get the software installed initially, but once we get the software installed and the relevant access in place it’s as simple as creating a user account for the robot in exactly the same way you do for a human,” she said. “Then it’s over to us to help build that robot.” To do that Foundry4’s experts sit down with the clinicians or NHS staff usually undertaking the work to learn step-by-step the process they usually go through. That information is then used to create a process definition document to train the robot to do the tasks in a similar way. Once the trust is happy with the product it is deployed. “One of the big benefits about robots is they can work 24/7 but also they can work across multiple processes,” MacCooey added. “So, if you get to a stage where you have 10 or 15 processes you can schedule those processes to run on a daily basis. “Within those 10 or 15 you may have a few that are critically important, so you can programme the robot to, in the first instance, always focus on these critical processes.” While Mary Bot streamlines processes required for Covid-19 her skills will last beyond the pandemic. Kettering Hospital is currently looking at ways robotics can automate GP referrals in outpatient services, allowing patients to be more actively involved in their care. For Roddis robotic process automation also has the possibility to improve interoperability across trust departments, as well as reducing errors and improving confidence in data.
当Covid-19开始流行时,Kettering总医院不得不寻找创新的方法来节省工作人员的时间和精简服务。解决办法?当然是机器人。 在考虑机器人技术时,想象力很容易占据,在你意识到它之前,你就会想象出终结者式的机器人,但解决方案远比这简单得多。 Kettering开始使用机器人过程自动化来创建Trusts的每日Covid-19情况报告。所有医院均须提交每日情况报告,包括可供使用的病床数目,这些病床是否有氧气供应,医院可供使用的设备和可供使用的工作人员。 来自多个部门的大量数据需要处理,常常占用员工宝贵的时间。ITS还提供了软件能够管理的数据,这有助于腾出工作人员的时间进行病人护理。 该信托基金的数字主管伊恩•罗迪斯告诉数字健康:我们致力于释放工作人员的时间,这些工作人员正在做重复的,可能是平淡无奇的,效率低下的工作,我们让软件为他们做这些工作。 这样,他们就可以腾出时间做其他工作,并且在可能的情况下,把时间还给支持病人护理。 作为NHSX AI实验室项目的一部分,凯特琳医院与Foundry4合作,推出了一种机器人过程自动化,估计每年可节省4400个工作人员小时,即约15万个小时。 这套系统被称为Mary Bots,以IT领导Trusts的名字亲切地命名,它自动从system C提供的医院Medway患者管理系统中获取数据。 它还整理来自人力资源系统和病床管理系统的数据,覆盖医院的50个病房,然后制作Covid-19情况报告,在每天上午11点前提交给英国国民保健服务系统。 trust需要做的就是为Mary Bot提供一个登录帐户来访问数据。 罗迪斯说,有了这些数据的电子来源,并让机器人在正确的时间获取数据,我们就可以专注于确保输入的数据是正确的,并可供机器人提取,而不是让人们拿着纸到处走动。 对我来说,两件主要的事情是节省时间,让人类做自己最擅长的事情,同时也减少了错误。 对我来说,这种病人流量报告的自动化有助于临床决策。比如我该把病人放在哪里,我该如何治疗他们,我们是否能及时地满足病人的需求。 Foundry 4的自动化董事总经理Ciara MacCooey告诉Digital Health,在另一个信托机构中实现像Mary Bot那样的系统将相当简单。 根据所需系统的复杂程度,制造机器人需要10到25天的时间,麦库伊说。 她说:我们需要与IT团队合作,最初安装软件,但一旦我们安装好了软件,相关的访问也就到位了,就像为机器人创建一个用户账户一样简单,就像为人类创建一个用户账户一样。 然后就轮到我们来帮助建造机器人了。 为了做到这一点,Foundry4s的专家与临床医生或NHS的工作人员坐下来,学习他们通常要经历的一步一步的过程。 然后,这些信息被用来创建一个过程定义文档,以训练机器人以类似的方式完成任务。一旦信任对产品满意,就部署它。 麦库伊补充说,机器人的一大好处是它们可以全天候工作,而且还可以跨多个过程工作。 因此,如果您到达一个有10个或15个进程的阶段,您可以安排这些进程每天运行。 在这10个或15个中,你可能有一些是非常重要的,所以你可以编程机器人,在第一个例子中,总是专注于这些关键的过程。 虽然玛丽·博特简化了Covid-19所需的流程,但她的技能将持续到大流行之后。 Kettering医院目前正在研究机器人技术在门诊服务中实现全科医生转诊自动化的方法,让病人更积极地参与到他们的护理中来。 对于Roddis,机器人过程自动化也有可能提高跨信任部门的互操作性,以及减少错误和提高对数据的信心。