I-Corps: Scaling infrastructure for paraprofessional mental health workforce development

这个I-Corps项目更广泛的影响/商业潜力是开发软件技术，培训心理保健方面的辅助专业人员，使有精神疾病风险的成年人受益。 目前，心理保健解决方案短缺。 拟议的技术旨在解决通常与焦虑，抑郁，创伤，物质使用和其他心理健康相关问题同时发生的负面健康结果。 目标是通过利用人工智能和其他技术来提高效率，促进个人健康素养，增强自我和社区护理能力。这个I-Corps项目基于开发一个软件平台，将新兴的人工智能和自然语言处理与心理健康实施科学相结合，为心理健康辅助专业人员提供服务。 拟议的技术是基于对精神卫生保健提供者的培训和跟踪、他们提供的护理以及他们干预的结果的研究。 第一阶段的发现和概念验证工作已经完成，这有助于对准专业人员进行实践管理、培训和监督，该技术目前正在进行beta测试。 下一阶段的目标是利用人工智能建立培训和测量，同时确保质量，安全和有效性。该奖项反映了NSF的法定使命，并通过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，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of software technology to train paraprofessionals in mental health care to benefit adults who are at risk of mental illness. Currently, there is a shortage of mental healthcare solutions. The proposed technology is designed to address negative health outcomes that often co-occur with anxiety, depression, trauma, substance use, and other mental health-related issues. The goal is to create efficiencies by leveraging artificial intelligence and other technologies to promote individual health literacy and empower self- and community-care.This I-Corps project is based on the development of a software platform combining emerging artificial intelligence and natural language processing and mental health implementation science to serve mental health paraprofessionals. The proposed technology is based on research around the training and tracking of mental health care providers, the care they give, and the outcomes of their interventions. The first phase of discovery and proof-of-concept that facilitates the practice administration and training and supervision for paraprofessional workers has been completed and the technology is currently in beta testing. The goal for the next phase is to build the training and measurements leveraging artificial intelligence while assuring quality, safety, and effectiveness.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.