Brennan P F, Strombom I
University of Wisconsin, Madison 53706, USA.
J Am Med Inform Assoc. 1998 May-Jun;5(3):257-62. doi: 10.1136/jamia.1998.0050257.
If nurses, physicians, and health care planners knew more about patients' health-related preferences, care would most likely be cheaper, more effective, and closer to the individuals' desires. In order for patient preferences to be effectively used in the delivery of health care, it is important that patients be able to formulate and express preferences, that these judgments be made known to the clinician at the time of care, and that these statements meaningfully inform care activities. Decision theory and health informatics offer promising strategies for eliciting subjective values and making them accessible in a clinical encounter in a manner that drives health choices. Computer-based elicitation and reporting tools are proving acceptable to patients and clinicians alike. It is time for the informatics community to turn their attention toward building computer-based applications that support clinicians in the complex cognitive process of integrating patient preferences with scientific knowledge, clinical practice guidelines, and the realities of contemporary health care.
如果护士、医生和医疗保健规划者更多地了解患者与健康相关的偏好,那么医疗护理很可能会更便宜、更有效,也更贴近个人需求。为了使患者的偏好能有效地应用于医疗服务中,患者能够制定并表达偏好、这些判断在护理时能被临床医生知晓、且这些陈述能切实为护理活动提供依据,这些都很重要。决策理论和健康信息学提供了有前景的策略,用于引出主观价值观,并使其在临床诊疗过程中以推动健康选择的方式得以获取。基于计算机的引出和报告工具已被证明患者和临床医生都能接受。现在是信息学领域将注意力转向构建基于计算机的应用程序的时候了,这些应用程序能够在将患者偏好与科学知识、临床实践指南以及当代医疗保健现实相结合的复杂认知过程中支持临床医生。