Imagining Improved Interactions: Patients' Designs To Address Implicit Bias.

Connie Yang, Leslie Coney, Deepthi Mohanraj,Reggie Casanova-Perez,Emily Bascom, Niyat Efrem, Joseph Tan Garcia,Janice Sabin,Wanda Pratt,Nadir Weibel, Andrea L Hartzler

AMIA ... Annual Symposium proceedings. AMIA Symposium(2024)

引用 0|浏览3
暂无评分
摘要
Implicit biases may negatively influence healthcare providers' behaviors toward patients from historically marginalized communities, impacting providers' communication style, clinical decision-making, and delivery of quality care. Existing interventions to mitigate negative experiences of implicit biases are primarily designed to increase recognition and management of stereotypes and prejudices through provider-facing tools and resources. However, there is a gap in understanding and designing interventions from patient perspectives. We conducted seven participatory co-design workshops with 32 Black, Indigenous, People of Color (BIPOC), Lesbian, Gay, Bisexual, Transgender, Queer/Questioning (LGBTQ+), and Queer, Transgender, Black, Indigenous, People of Color (QTBIPOC) individuals to design patient-centered interventions that help them address and recover from provider implicit biases in primary care. Participants designed four types of solutions: accountability measures, real-time correction, patient enablement tools, and provider resources. These informatics interventions extend the research on implicit biases in healthcare through inclusion of valuable, firsthand patient perspectives and experiences.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要