A Software Product That Empowers Individuals Affected By Substance Use Disorders and Their Care Teams with Health and Social Resources

项目摘要 获得和参与社区资源方案，如交通、住房和药物援助--也称为 健康的社会决定因素(SDOH)与物质使用障碍(SUD)的成功治疗和康复有着千丝万缕的联系。 因此，卫生和社会服务提供者花费大量时间来管理当地社区资源清单或 “转介活页夹”。这些“推荐活页夹”经常在不同组织之间高度重复和分散，并使用昂贵的 该领域中的不可扩展解决方案技术供应商尚未完全解决此问题。此外，参与这样的 社区计划也因缺乏高效的计划资格审查工具而受到阻碍。毫无疑问，这些 不足之处导致受严重急性呼吸综合征影响的个人无法直接获得恢复资金。 我们报告了SBIR第一阶段研究的两个可行性结果。1)以联合创造为主导的创新商业模式，利用当地 与SUD和SDOH方面的主题专业机构建立伙伴关系--可以提供更好的获取社区资源的途径 在护理地点的计划。2)一种高适应性的数字辅助SDOH筛查工具，由新型对话人工提供支持 智能(AI)和自然语言处理(NLP)技术可以提高患者对SDOH相关社区的参与度 程序。这是通过使用这些技术通过Web和文本消息来执行计划资格筛选来实现的 与病例工作组内的患者分诊相结合的渠道。 这项第二阶段研究的目的是：1)优化和规模化在 第一阶段，在两年内让8名联合创作伙伴加入德克萨斯州。2)考察会话人工智能与人工智能之间的关系 NLP支持的SDOH筛查工具在第一阶段试行，在年轻人和年轻人中取得了SUD结果。具体来说，我们将 与哈里斯精神健康和IDD中心合作-德克萨斯州最大的门诊精神健康提供商，以检查 使用我们的技术报告对青少年进行筛查并登记参加治疗计划，改善了SUD结果。因为人工智能和自然语言处理是核心 我们还将调查并随后纠正潜在的社会偏见和刻板印象(例如，种族， 性别)编码在这些技术中。这一努力将避免这样的偏见，从而无意中决定我们下游的结果 预测任务。 第二阶段的关键里程碑包括：1)可证明的证据表明，共同创造的商业模式促进了 护理地点的SDOH和SUD社区资源。2)了解筛查和最终参加 由我们的对话式人工智能技术支持的治疗计划可以减少与执法部门的接触，包括 有心理健康和自闭症的青少年中的CPS。总而言之，拟议的第二阶段工作将使人们更容易获得可持续发展 恢复资金，并促进患者参与当地健康和SDOH社区计划。

Project Summary Access and participation in community resource programs such as transportation, housing and medication assistance - also known as social determinants of health (SDOH) is inextricably linked to a successful treatment and recovery in substance use disorders (SUD). Therefore, health and social service providers dedicate a significant amount of time to curate local community resource listings or “referral binders”. These “referral binders” are often highly duplicated and fragmented across organizations and by using expensive non-scalable solutions technology vendors in this domain have not fully addressed this problem. Furthermore, participation in such community programs is also hindered by the absence of highly efficient program eligibility screening tools. Undoubtedly, these shortcomings contribute to lack of direct access to recovery capital for individuals affected by SUD. We report two feasibility outcomes from our SBIR Phase I study. 1) A novel co-creation led business model that leverages local partnerships with subject matter expertise agencies on SUD and SDOH - can provide enhanced access to community resource programs at the point-of-care. 2) A highly adaptive digital assisted SDOH screening tool powered by novel conversational artificial intelligence (AI) and natural language processing (NLP) technologies can enhance patients’ participation in SDOH related community programs. This is achieved by using these technologies to perform program eligibility screenings through both web and text messaging channels coupled with patient triaging within a case work team. The purpose of this Phase II study is to: 1) Optimize and scale the community resource co-creation business model established in Phase I by onboarding eight co-creation partners in Texas within 2 years. 2) Examine the relationship between the conversational AI and NLP powered SDOH screening tool piloted in Phase I with SUD outcomes among youths and young adults. Specifically, we will partner with the Harris Center for Mental Health and IDD - the largest outpatient mental health provider in Texas to examine whether youths screened and enrolled into a treatment program using our technology report improved SUD outcomes. As AI and NLP are core pillars of our technology we will also investigate and subsequently correct for potential societal biases and stereotypes (e.g. race, gender) encoded in such technologies. This effort will avoid such biases to inadvertently determine outcomes in our downstream prediction tasks. The key Phase II milestones include; 1) Demonstrable evidence that the co-creation business model leads to enhanced access to SDOH and SUD community resources at the point-of-care. 2) An understanding on whether screening and eventual participation in a treatment program as supported by our conversational AI technology can lead to reduced encounters with law enforcement including CPS among youths with mental health and SUD. In summary, the proposed Phase II work will lead to enhanced access to SUD recovery capital and facilitate patients’ participation in local health and SDOH community programs.