College of Health Solutions, Arizona State University, Phoenix, Arizona, United States.
HonorHealth, Phoenix, Arizona, United States.
Appl Clin Inform. 2024 Mar;15(2):342-356. doi: 10.1055/a-2291-1482. Epub 2024 Mar 20.
Standardizing and formalizing consent processes and forms can prevent ambiguities, convey a more precise meaning, and support machine interpretation of consent terms.
Our goal was to introduce a systematic approach to standardizing and digitizing pediatric consent forms, which are complex due to legal requirements for child and legal guardian involvement.
First, we reviewed the consent requirements from the Arizona regulation, and we used 21 pediatric treatment consents from five Arizona health care organizations to propose and evaluate an implementation-agnostic Consent for Treatment Framework. Second, we assessed the adequacy of the Fast Healthcare Interoperability Resources (FHIR) to support the proposed framework.
The resulting Consent for Treatment Framework supports compliance with the state consent requirements and has been validated with pediatric consent forms. We also demonstrated that the FHIR standard has the required expressiveness to compute the framework's specifications and express the 21 consent forms.
Health care organizations can apply the shared open-source code and FHIR implementation guidelines to standardize the design of machine-interpretable pediatric treatment consent forms. The resulting FHIR-based executable models may support compliance with the law and support interoperability and data sharing.
标准化和形式化同意过程和表格可以避免歧义,传达更准确的含义,并支持机器对同意条款的解释。
我们的目标是引入一种系统的方法来标准化和数字化儿科同意书,由于涉及儿童和法定监护人的法律要求,儿科同意书较为复杂。
首先,我们审查了亚利桑那州法规中的同意要求,并使用来自五个亚利桑那州医疗机构的 21 份儿科治疗同意书,提出并评估了一个与实现无关的治疗同意框架。其次,我们评估了快速医疗互操作性资源 (FHIR) 是否足以支持所提出的框架。
所提出的治疗同意框架支持符合州同意要求,并已通过儿科同意书进行验证。我们还表明,FHIR 标准具有所需的表达能力,可以计算框架的规范并表达 21 份同意书。
医疗机构可以应用共享的开源代码和 FHIR 实施指南来标准化机器可解释的儿科治疗同意书的设计。基于 FHIR 的生成执行模型可以支持合规性并支持互操作性和数据共享。