Almeida José Pedro
São João Hospital Center, Porto, Portugal.
Porto Biomed J. 2016 Mar-Apr;1(1):40-42. doi: 10.1016/j.pbj.2015.12.001. Epub 2016 Mar 1.
There is an urgent need to potentiate evidence-based clinical-decision-making with a holistic, patient-centered approach to value, one that focuses both on health-care spending and treatment outcomes.1 On the other hand, in the era of self-driven vehicles, computer systems in healthcare need also to become proactive and to identify relevant clinical patterns in a much faster and automated way than currently used solutions enable. Although this is the state-of-the-art paradigm, in fact, technical constraints block further developments in these areas as hospitals lack the skills to really manage and take value from the big amount of Data about their patients that is stored in dozens of heterogeneous information systems, from lab results to imaging studies, from pharmacy to the Electronic Medical Record (EMR). At São João Hospital Center (São João), a novel analytics platform was conceived, a new approach that is able to leverage all the Big Data that is stored about hospital patients in seconds and to apply some of the most advanced and lightening speed analytics on top of this information in order to empower clinicians and to give them a new decision support tool. This sets the road towards a data-driven hospital of the future, where Data Analytics and Data Science can become as important as the most recent Harrison's edition. With this analytics platform, São João was able to be the first Non-Us institution to ever win the Microsoft U.S Worldwide Innovation Award (HIMSS - Florida, 2014) and the European Big Data & Analytics solution of the year (IT EUROPA - London, 2014). This solution is called HVITAL (Hospital surVeiIlance, moniToring and ALert) and is working 24/7 at São João Hospital since 2012.
迫切需要采用一种以患者为中心的整体方法来加强基于证据的临床决策,这种方法既要关注医疗保健支出,也要关注治疗结果。另一方面,在自动驾驶车辆的时代,医疗保健领域的计算机系统也需要变得更加主动,以比目前使用的解决方案更快、更自动化的方式识别相关临床模式。尽管这是最先进的模式,但实际上,技术限制阻碍了这些领域的进一步发展,因为医院缺乏真正管理和利用存储在数十个异构信息系统中的大量患者数据的技能,这些系统涵盖从实验室结果到影像研究,从药房到电子病历(EMR)。在圣若昂医院中心(圣若昂),构思了一个新颖的分析平台,这是一种新方法,能够在几秒钟内利用存储的所有关于医院患者的大数据,并在此信息之上应用一些最先进且速度极快的分析,以增强临床医生的能力,并为他们提供一种新的决策支持工具。这为迈向未来的数据驱动型医院铺平了道路,在这样的医院中,数据分析和数据科学可以变得与最新版的《哈里森内科学》一样重要。借助这个分析平台,圣若昂成为首个获得微软美国全球创新奖(2014年,佛罗里达州HIMSS)和年度欧洲大数据与分析解决方案奖(2014年,伦敦IT EUROPA)的非美国机构。这个解决方案名为HVITAL(医院监测、监控和警报),自2012年起在圣若昂医院全天候运行。