Implicit bias may perpetuate healthcare disparities for marginalized patient populations. Such bias is expressed in communication between patients and their providers. We design an ecosystem with guidance from providers to make this bias explicit in patient-provider communication. Our end users are providers seeking to improve their quality of care for patients who are Black, Indigenous, People of Color (BIPOC) and/or Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ). We present wireframes displaying communication metrics that negatively impact patient-centered care divided into the following categories: digital nudge, dashboard, and guided reflection. Our wireframes provide quantitative, real-time, and conversational feedback promoting provider reflection on their interactions with patients. This is the first design iteration toward the development of a tool to raise providers' awareness of their own implicit biases.
翻译:这种偏见表现在病人与其提供者之间的沟通中。我们设计了一个生态系统,由提供者提供指导,使这种偏见在病人与提供者的沟通中变得明确。我们的最终用户是提供者,寻求改善对黑人、土著人、有色人种(BIPOC)和(或)女同性恋、男同性恋、双性恋、变性者和奎尔人(LGBTQ)患者的护理质量。我们展示了对病人与提供者的护理有负面影响的通信指标,分为以下几类:数字螺旋、仪表盘和引导反射。我们的电线框架提供数量、实时和谈话反馈,促进提供者思考他们与病人的互动。这是开发一种工具来提高提供者对自身隐含偏见的认识的第一个设计。