Baig Mansoor Ali, Alzahrani Somayah Jamaan
King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Department of Biostatistics Epidemiology & Scientific Computing, KFSHRC, Riyadh, Saudi Arabia.
Stud Health Technol Inform. 2019 Jul 4;262:27-30. doi: 10.3233/SHTI190008.
'Research through innovation' is the current demand echoing throughout the healthcare industry, healthcare institutions tend to invest heavily in technology. Data Science being the major disruptor across industries is being incepted through establishment of innovation and R&D centers within their respective organizations. Data Science has become a critical component for the healthcare industry, supporting innovative approaches towards advanced clinical practice, clinical research and corporate management, serving to build an intelligent enterprise. Every healthcare institution maintains a good number of technical staffs with IT, Software, data management, BI and analytical capabilities, aiding the institutions to manage report and publish its data in some or the other way, grossly covering most aspects of data science knowingly or unknowingly. Setting up a new entity within the organization by recruitment of staff with Data Science based skill sets would be the first thought to strike the management, which in contrast would end up as disaster when it comes to understanding the organizational culture, processes, infrastructure, platforms, data etc. Hence in order to setup a data science hub, regrouping or realigning some of the existing institutional resources is crucial. With this approach, the Data Science hub would carry out three primary functions. The "Project Management & Data Sourcing", the "Data Management & General Analytics" and "Advanced Analytics". Current resources can be reorganized within the first two functions, further; it would be about establishing an advanced analytics group within the hub which would perform the Machine learning and AI functions.
“通过创新进行研究”是当前整个医疗行业的需求，医疗机构倾向于在技术方面进行大量投资。数据科学作为跨行业的主要颠覆者，正通过在各自组织内建立创新和研发中心而被引入。数据科学已成为医疗行业的关键组成部分，支持先进临床实践、临床研究和企业管理的创新方法，有助于打造智能企业。每个医疗机构都拥有大量具备信息技术、软件、数据管理、商业智能和分析能力的技术人员，帮助机构以某种方式管理报告和发布数据，有意或无意地大致涵盖了数据科学的大多数方面。管理层首先想到的是通过招聘具有基于数据科学技能的人员在组织内设立一个新实体，但在涉及了解组织文化、流程、基础设施、平台、数据等方面时，这最终可能会导致灾难。因此，为了建立一个数据科学中心，重新组合或调整一些现有的机构资源至关重要。通过这种方法，数据科学中心将执行三个主要功能。即“项目管理与数据采购”、“数据管理与一般分析”以及“高级分析”。前两个功能可以对现有资源进行重组；此外，将在中心内设立一个高级分析小组，负责执行机器学习和人工智能功能。
