Harvard-MIT Division of Health Science and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
JMIR Med Inform. 2014 Jun 23;2(1):e13. doi: 10.2196/medinform.3110.
The research world is undergoing a transformation into one in which data, on massive levels, is freely shared. In the clinical world, the capture of data on a consistent basis has only recently begun. We propose an operational vision for a digitally based care system that incorporates data-based clinical decision making. The system would aggregate individual patient electronic medical data in the course of care; query a universal, de-identified clinical database using modified search engine technology in real time; identify prior cases of sufficient similarity as to be instructive to the case at hand; and populate the individual patient's electronic medical record with pertinent decision support material such as suggested interventions and prognosis, based on prior outcomes. Every individual's course, including subsequent outcomes, would then further populate the population database to create a feedback loop to benefit the care of future patients.
研究领域正在经历一场变革，数据将以大规模的形式自由共享。在临床领域，最近才开始有规律地采集数据。我们提出了一个基于数字化的护理系统的操作愿景，其中包括基于数据的临床决策。该系统将在护理过程中汇总患者的电子医疗数据；使用经过修改的搜索引擎技术实时查询通用的、去识别化的临床数据库；识别出具有足够相似性的先前病例，以便为当前病例提供指导；并根据先前的结果，在患者的电子病历中填入相关的决策支持材料，如建议的干预措施和预后。然后，每个人的病程，包括后续结果，将进一步充实人群数据库，形成反馈循环，从而有利于未来患者的护理。
