SBIR Phase I: A Mobile Learning System to Reduce Unconscious Bias Among Healthcare Providers

该SBIR第一阶段项目将开发一种移动的技术，可以培训医疗保健专业人员掌握基于科学的技能，以打破无意识偏见的习惯。无意识偏见是由一种特质和一个社会群体之间的一系列错误和消极的联系（即刻板印象）所导致的，这些联系扭曲了人们对他人的感知、推理和决策。在医疗保健方面，这些偏见往往开始一系列歧视性的互动，导致误诊，增加住院治疗和不必要的重复访问，维持健康差异，并造成巨大的痛苦，以百万计的美国人。此外，这些差距每年使美国经济损失数十亿美元。该项目旨在通过可扩展的移动的技术来应对这两个挑战，该技术将为提供者创造学习经验，以采用打破无意识偏见习惯的技能。该项目将通过促进所有美国人的健康、繁荣和福利来进一步推动NSF的使命，使他们能够获得最高质量的护理，而不受无意识偏见的影响。该项目的成功将有助于创造一个更健康和生产力的美国人口，劳动力和经济。这一努力的成功结果可能会促使其扩展到其他领域，包括教育、执法和商业。该项目的智力价值在于证明该公司的专有方法使医疗保健提供者能够提高对其无意识偏见的自我意识，从而减少健康差距。该项目将使用一个移动的应用程序，创造技术，话语和体验式学习的新就业机会，提供并激励偏见打破工具的实践，以全面和可持续地打破无意识偏见的习惯。移动的平台将在设计时考虑到最终用户的体验和互动，以激励他们每天学习和实践改变自身无意识偏见的活动。第一阶段的目标有三个方面：确定用户在采用新技能和建立新习惯方面的设计和体验偏好;为有限数量的体验开发高保真beta测试，通过移动的平台教授打破偏见的技能;该奖项反映了NSF的法定使命，并被认为是值得支持的，使用基金会的知识价值和更广泛的影响审查标准进行评估。

This SBIR Phase I project will develop a mobile technology that can train healthcare professionals in science-based skills to break the habit of unconscious bias. Unconscious biases result from learned sets of mostly false and negative associations between a trait and a social group, i.e. stereotypes, that distort how people perceive, reason, and make decisions about other people. In healthcare, these biases often begin a chain of discriminatory interactions that lead to misdiagnoses, increased hospitalization, and unnecessary repeat visits that sustain health disparities and cause tremendous suffering to millions of Americans. Furthermore, these disparities cost the American economy multibillion dollars annually. This project aims to address both these challenges through a scalable mobile technology that will create learning experiences for providers to adopt skills that break the habit of unconscious bias. The project will further NSF's mission by advancing health, prosperity, and welfare of all Americans so they can receive the highest quality of care untainted by unconscious bias. The project's success would contribute to creating a healthier and productive American population, workforce, and economy. A successful outcome of this effort could spur its extension to other sectors, including education, law enforcement, and business.The intellectual merit of this project lies in demonstrating that the company's proprietary methodology enables healthcare providers to develop greater self-awareness about their unconscious biases and thus reduce health disparities. The project will create novel employment of technological, discursive, and experiential learning using a mobile application that offers and incentivizes the practice of bias breaking tools to fully and sustainably break the habit of unconscious bias. The mobile platform will be intentionally designed with the end user's experience and interactions in mind to incentivize them every day to learn and practice activities that transform unconscious biases in themselves. The goal in Phase I is threefold: to determine user preferences in design and experience for adopting new skills and building new habits; develop a high-fidelity beta-test for a limited number of experiences that teach breaking bias skills over a mobile platform; and test its usability and desirability with a representative number of healthcare providers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.