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

一款软件产品，可为受药物使用障碍影响的个人及其护理团队提供健康和社会资源

• 批准号: 10491118
• 负责人: Tom Lee
• 金额: $ 42.55万
• 依托单位: MEDICAL INNOVATORS COMPANY, LLC
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10491118
• 关键词: Address; Affect; Algorithms; Artificial Intelligence; Businesses; Capital; Caring; Client; Communities; Community Health; Computer software; Cost Savings; Counseling; County; Coupled; Data; Distal; Eligibility Determination; Employment; Enrollment; Gender; Health; Health Personnel; Health Services; Health Services Accessibility; Housing; Individual; Intake; Internet; Interview; Law Enforcement; Lead; Link; Manuals; Mental Health; Modeling; Natural Language Processing; Outcome; Outpatients; Patient Participation; Patient Triage; Patients; Peer Review; Pharmaceutical Preparations; Phase; Privatization; Procedures; Process; Publications; Race; Recovery; Relapse; Reporting; Resources; Screening procedure; Services; Sex Bias; Small Business Innovation Research Grant; Social Impacts; Social Work; Stereotyping; Substance Use Disorder; Technology; Testing; Texas; Text Messaging; Time; Translating; Transportation; United States; Vendor; Work; Youth; behavioral health; child protective service; cohort; community partnership; digital; high risk; improved; mental health center; non-compliance; novel; opioid overdose; patient screening; phase 1 study; phase 2 study; point of care; programs; prototype; racial bias; recruit; scale up; screening; service programs; service providers; service utilization; social; social factors; social health determinants; societal costs; substance use treatment; tool; treatment program; treatment risk; young adult

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.

项目摘要 获得和参与社区资源计划，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）的成功治疗和康复密不可分。 因此，健康和社会服务提供者投入大量时间来策划当地社区资源列表或 “推荐文件夹”。这些“推荐文件夹”往往在各组织之间高度重复和分散， 该领域中的不可扩展解决方案技术供应商还没有完全解决这个问题。此外，参与这种 社区方案也因缺乏高效的方案资格筛选工具而受到阻碍。毫无疑问，这些 这些不足之处导致受未成年人失业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)一种新颖的共同创造主导的商业模式，利用当地 与SUD和SDOH的主题专业机构建立伙伴关系-可以增强对社区资源的访问 在护理点的程序。2)一种高度自适应的数字辅助SDOH筛选工具， 人工智能（AI）和自然语言处理（NLP）技术可以提高患者在SDOH相关社区的参与度 程序.这是通过使用这些技术通过Web和文本消息执行计划资格筛选来实现的 在个案工作小组内，透过不同渠道与病人分诊相配合。 本次二期研究的目的是：1）优化和规模化建立的社区资源共创商业模式， 第一阶段，在两年内在德克萨斯州加入八个共同创造的合作伙伴。2)研究对话式AI与 和NLP驱动的SDOH筛查工具在第一阶段进行了试点，在青年和年轻人中取得了SUD成果。具体来说，我们将 与哈里斯心理健康和IDD中心合作-德克萨斯州最大的门诊心理健康提供者， 使用我们的技术进行筛查并参加治疗计划的年轻人报告改善了SUD结果。因为AI和NLP是核心 我们的技术支柱，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。这一努力将避免此类偏见，从而无意中确定下游的结果 预测任务。 第二阶段的关键里程碑包括：1）有证据表明，共同创造的商业模式可以增强对 SDOH和SUD社区资源在护理点。2)关于筛选和最终参与一项 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， CPS在有心理健康和SUD的青少年中。总括而言，拟议的第二阶段工程将使市民更容易获得可持续发展服务， 恢复资本和促进病人参与当地的健康和SDOH社区计划。

项目成果

Building and Advancing Coalition Capacity to Promote Health Equity: Insights from the Health Equity Collective's Approach to Addressing Social Determinants of Health.

• DOI: 10.1089/heq.2021.0012
• 发表时间: 2021
• 期刊: Health equity
• 影响因子: 2.7
• 作者: John JC;Kaleemullah T;McPherson H;Mahata K;Morrow RB;Bujnowski D;Johnston A;Danho M;Siddiqui N;Walsh MT;Haley SA;Sirajuddin AM;Schauer T;Wu MJ;Rechis R;Galvan E;Correa N;Browning N;Ganelin D;Gonzalez J;Lofton S;Banerjee D;Sharma SV
• 通讯作者: Sharma SV