Gao Grace, Kerr Madeleine J, Lindquist Ruth A, Chi Chih-Lin, Mathiason Michelle A, Austin Robin R, Monsen Karen A
School of Nursing, University of Minnesota, 5-140 Weaver-Densford Hall, 308 Harvard Street SE, Minneapolis, Minnesota 55455, USA.
JAMIA Open. 2018 May 24;1(1):11-14. doi: 10.1093/jamiaopen/ooy015. eCollection 2018 Jul.
With health care policy directives advancing value-based care, risk assessments and management have permeated health care discourse. The conventional problem-based infrastructure defines what data are employed to build this discourse and how it unfolds. Such a health care model tends to bias data for risk assessment and risk management toward problems and does not capture data about health assets or strengths. The purpose of this article is to explore and illustrate the incorporation of a strengths-based data capture model into risk assessment and management by harnessing data-driven and person-centered health assets using the Omaha System. This strengths-based data capture model encourages and enables use of whole-person data including strengths at the individual level and, in aggregate, at the population level. When aggregated, such data may be used for the development of strengths-based population health metrics that will promote evaluation of data-driven and person-centered care, outcomes, and value.
随着医疗保健政策指令推动基于价值的医疗，风险评估和管理已渗透到医疗保健领域的讨论中。传统的基于问题的基础设施定义了用于构建这种讨论的数据以及讨论的展开方式。这种医疗保健模式倾向于使风险评估和风险管理的数据偏向问题，而没有捕捉到关于健康资产或优势的数据。本文的目的是通过使用奥马哈系统利用数据驱动和以患者为中心的健康资产，探索并说明将基于优势的数据捕获模型纳入风险评估和管理。这种基于优势的数据捕获模型鼓励并能够使用包括个体层面和总体层面优势的全人数据。汇总后，这些数据可用于开发基于优势的人群健康指标，以促进对数据驱动和以患者为中心的护理、结果及价值的评估。
