Cerra Frank, Pacala James, Brandt Barbara F, Lutfiyya May Nawal
National Center for Interprofessional Practice and Education, University of Minnesota, Minneapolis, MN 55455, USA.
Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, MN 55455, USA.
Healthcare (Basel). 2015 Nov 12;3(4):1158-73. doi: 10.3390/healthcare3041158.
The resurgence of interest in the promise of interprofessional education and collaborative practice (IPECP) to positively impact health outcomes, requires the collection of appropriate data that can be analyzed and from which information and knowledge linking IPECP interventions to improved health outcomes might be produced and reported to stakeholders such as health systems, policy makers and regulators, payers, and accreditation agencies. To generate such knowledge the National Center for Interprofessional Practice and Education at the University of Minnesota has developed three strategies, the first two of which are: (1) creating an IPECP research agenda, and (2) a national Nexus Innovation Network (NIN) of intervention projects that are generating data that are being input and housed in a National Center Data Repository (NCDR). In this paper, the informatics platform supporting the work of these first two strategies is presented as the third interconnected strategy for knowledge generation. The proof of concept for the informatics strategy is developed in this paper by describing: data input from the NIN into the NCDR, the linking and merging of those data to produce analyzable data files that incorporate institutional and individual level data, and the production of meaningful analyses to create and provide relevant information and knowledge. This paper is organized around the concepts of data, information and knowledge-the three conceptual foundations of informatics.
对跨专业教育与协作实践(IPECP)有望对健康结果产生积极影响的兴趣再度兴起,这就需要收集适当的数据,以便进行分析,并从中得出将IPECP干预措施与改善健康结果联系起来的信息和知识,然后报告给卫生系统、政策制定者和监管机构、支付方以及认证机构等利益相关者。为了生成此类知识,明尼苏达大学的国家跨专业实践与教育中心制定了三项策略,前两项是:(1)制定IPECP研究议程;(2)建立一个干预项目的全国性关联创新网络(NIN),这些项目正在生成的数据被输入并存储在国家中心数据存储库(NCDR)中。在本文中,支持前两项策略工作的信息学平台被作为知识生成的第三个相互关联的策略呈现出来。本文通过描述以下内容来阐述信息学策略的概念验证:从NIN输入到NCDR的数据、将这些数据进行链接和合并以生成包含机构和个人层面数据的可分析数据文件,以及进行有意义的分析以创建并提供相关信息和知识。本文围绕数据、信息和知识这三个信息学的概念基础展开。