Craig Konnoth, J.D. M.Phil., is an Associate Professor of Law at the University of Colorado Law School.
J Law Med Ethics. 2018 Sep;46(3):622-628. doi: 10.1177/1073110518804215.
Collecting and deploying poverty-related data is an important starting point for leveraging data regarding social determinants of health in precision medicine. However, we must rethink how we collect and deploy such data. Current modes of collection yield imprecise data that is unsuited for research. Better data can be collected by cross-referencing other sources such as employers and public benefit programs, and by incentivizing and encouraging patients and providers to provide more accurate information. Data thus collected can be used to provide appropriate individual-level clinical and non-clinical care, and to systematically determine what share of social resources healthcare should consume.
收集和部署与贫困相关的数据是利用健康的社会决定因素数据进行精准医学的重要起点。然而，我们必须重新思考如何收集和部署这些数据。当前的数据收集模式产生的不精确数据不适合研究。通过交叉参考其他来源，如雇主和公共福利计划，并通过激励和鼓励患者和提供者提供更准确的信息，可以收集到更好的数据。收集到的数据可用于提供适当的个体层面的临床和非临床护理，并系统地确定医疗保健应消耗多少社会资源。
