A Chatbot Utilizing Machine Learning and Natural Language Processing to Implement the Brief Negotiation Interview to Improve Engagement in Buprenorphine Treatment among Justice-Involved Individuals
聊天机器人利用机器学习和自然语言处理来实施简短的谈判访谈,以提高参与正义的个人对丁丙诺啡治疗的参与度
基本信息
- 批准号:10304214
- 负责人:
- 金额:$ 5.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-30 至 2022-03-31
- 项目状态:已结题
- 来源:
- 关键词:AccountabilityAddressAdministrative SupplementArtificial IntelligenceAwardBuprenorphineBusinessesDeath RateDoctor of PhilosophyEducationFundingGeneral PopulationHumanIndividualIndustryInnovation CorpsInterviewJusticeLifeMachine LearningMediationModelingMotivationNatural Language ProcessingOverdosePersonsPharmaceutical PreparationsPhasePilot ProjectsPopulationPositioning AttributePrisonsProviderRandomizedRecoveryResourcesRiskSavingsSecureSmall Business Innovation Research GrantStigmatizationStructureSystemTechnologyTimeTrainingTraining ProgramsUnited States National Institutes of Healthbasebuprenorphine treatmentchatbotcommercializationdesigndigitaldigital healthhigh riskimprovedmembermobile applicationmortality riskopioid mortalityopioid overdoseoverdose deathprobationprobationerprogramsprototypesystem-level barrierstool
项目摘要
Project Summary/Abstract
This Administrative Supplement proposes the participation of a 3-member team from the Center for
Progressive Recovery, LLC (CPR) in the Innovation Corps (I-Corps™), an intensive, 8-week program focused
on developing a successful commercialization plan and business model for technology-driven start-ups funded
by NIH’s SBIR Phase I mechanism. The program would entail training, as well as structure and accountability
around conducting 100 interviews with key stakeholders and others whose expertise would inform the
company’s plans. The SBIR Phase I award to CPR (the small business concern, SBC) that this application is
predicated on addresses the problem that the people at the greatest risk of dying from an opioid overdose are
the least likely to get life-saving medication. Justice- involved individuals coming out of prison have the highest
risk of death by overdose (8x greater than the general population), yet only 1 in 20 of these individuals receive
buprenorphine (bup), a safe, effective medication that has been shown to reduce a person’s risk of death by
overdose by half. There is an urgent need to facilitate an increase in bup treatment engagement among these
individuals. Two of the top barriers to receiving bup for this population are 1) system level barriers and, 2) low
levels of individual motivation. We will disrupt system level barriers by circumventing the pieces of the
probation system that are stigmatizing and reduce the chances of a bup referral with an artificial intelligence
(AI)-based chatbot. This will be the only tool needed to receive a referral to a bup provider. We will also
address low individual motivation with the chatbot by programming it to deliver the efficacious Brief Negotiation
Interview (BNI) without the need for a trained human. Our aims are: Aim 1: Design and develop a prototype
chatbot to motivate bup engagement. Milestones: (a) human-centered design (HCD) interviews with key
stakeholders; and (b) creation of a chatbot using machine learning (ML) and natural language processing
(NLP) that is integrated with a mobile application; Aim 2: Conduct a 4-week pilot study with 60 probationers
randomly assigned to the BNI Chatbot or Digital Resources (i.e., Digitally-delivered OUD and buprenorphine
education and referral resources). The following 3-member team has deep expertise in developing and
bringing to market digital health solutions and was formed to pursue the unique benefits of the I-Corps
program. All 3 are able to meet the time-intensive requirements of the training program: 1) Michael V.
Pantalon, Ph.D., CEO; 2) Marianne S. Pantalon, Ph.D., PI, and 3) Thomas Wheeler, Industry Expert and CTO.
With this sophisticated program, CPR would be in a much better position to secure SBIR Phase II funding.
项目摘要/摘要
这项行政补充提案提出了来自中心的三人团队的参与
Innovation Corps(I-Corps™)中的渐进式恢复有限责任公司(CPR),一个密集的,为期8周的计划
为了制定成功的商业化计划和业务模型,以资助技术驱动的初创企业
由NIH的SBIR I期机制。该计划将需要培训以及结构和问责制
围绕对主要利益相关者和其他专业知识将告知的主要利益相关者和其他人进行100次访谈
公司的计划。 SBIR第一阶段授予CPR(小型企业问题,SBC),该应用程序是
基于解决以下问题的问题,即从阿片类药物过量死亡的最大风险的人是
最不可能获得挽救生命的药物。司法 - 涉及从监狱出狱的人最高
用药过量的死亡风险(比一般人口大8倍),但其中只有20个人中只有1人接受
丁丙诺啡(BUP),一种安全,有效的药物,已证明可以降低一个人的死亡风险
过量服用了一半。迫切需要促进bup治疗参与度的增加
个人。该人群接收BUP的两个最高障碍是1)系统水平障碍,2)低
个人动机的水平。我们将通过规避碎片来破坏系统的壁垒
缓刑系统正在用人工智能污名化和减少BUP转介的机会
(AI)基于聊天机器人。这将是接收转介给BUP提供商所需的唯一工具。我们也会
通过对聊天机器人进行编程以进行有效的简短谈判来解决低个体动机
面试(BNI)无需训练有素的人。我们的目标是:目标1:设计和开发原型
聊天机器人激励BUP参与。里程碑:(a)以人为中心的设计(HCD)访谈
利益相关者; (b)使用机器学习(ML)和自然语言处理创建聊天机器人
(NLP)与移动应用程序集成; AIM 2:对60个试用器进行为期4周的试点研究
随机分配给BNI聊天机器人或数字资源(即,数字交付的Oud和丁丙诺啡
教育和推荐资源)。以下三人团队在开发和
引入市场数字健康解决方案,并成立于追求I-Corps的独特好处
程序。所有3个都能够满足培训计划的耗时要求:1)Michael V.
Pantalon博士,首席执行官; 2)Marianne S. Pantalon博士,PI和3)行业专家兼CTO托马斯·惠勒(Thomas Wheeler)。
有了这个复杂的计划,CPR将处于获得SBIR II期资金的更好位置。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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MICHAEL V PANTALON其他文献
MICHAEL V PANTALON的其他文献
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{{ truncateString('MICHAEL V PANTALON', 18)}}的其他基金
A Chatbot Utilizing Machine Learning and Natural Language Processing to Implement the Brief Negotiation Interview to Improve Engagement in Buprenorphine Treatment among Justice-Involved Individuals
聊天机器人利用机器学习和自然语言处理来实施简短的谈判访谈,以提高参与正义的个人对丁丙诺啡治疗的参与度
- 批准号:
10157712 - 财政年份:2020
- 资助金额:
$ 5.5万 - 项目类别:
Increasing Treatment Adherence in Co-Occurring Disorders
提高并发疾病的治疗依从性
- 批准号:
6465492 - 财政年份:2002
- 资助金额:
$ 5.5万 - 项目类别:
Increasing Treatment Adherence in Co-Occurring Disorders
提高并发疾病的治疗依从性
- 批准号:
6665126 - 财政年份:2002
- 资助金额:
$ 5.5万 - 项目类别:
Increasing Treatment Adherence in Co-Occurring Disorders
提高并发疾病的治疗依从性
- 批准号:
6933129 - 财政年份:2002
- 资助金额:
$ 5.5万 - 项目类别:
Increasing Treatment Adherence in Co-Occurring Disorders
提高并发疾病的治疗依从性
- 批准号:
7111800 - 财政年份:2002
- 资助金额:
$ 5.5万 - 项目类别:
Increasing Treatment Adherence in Co-Occurring Disorders
提高并发疾病的治疗依从性
- 批准号:
6805283 - 财政年份:2002
- 资助金额:
$ 5.5万 - 项目类别:
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