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
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
批准号:
10304214
负责人:
MICHAEL V PANTALON
金额:
$5.5万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-30 至 2022-03-31
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
中文摘要
项目总结/文摘
英文摘要
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.
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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
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批准号:10157712
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项目类别:
-
资助金额:$25.15万
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财政年份:2020
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负责人:MICHAEL V PANTALON
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依托单位:
Increasing Treatment Adherence in Co-Occurring Disorders
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批准号:6465492
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项目类别:
-
资助金额:$12.88万
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财政年份:2002
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负责人:MICHAEL V PANTALON
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依托单位:
Increasing Treatment Adherence in Co-Occurring Disorders
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批准号:6665126
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项目类别:
-
资助金额:$13.37万
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财政年份:2002
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负责人:MICHAEL V PANTALON
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依托单位:
Increasing Treatment Adherence in Co-Occurring Disorders
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批准号:6933129
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项目类别:
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资助金额:$15.48万
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财政年份:2002
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负责人:MICHAEL V PANTALON
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依托单位:
Increasing Treatment Adherence in Co-Occurring Disorders
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批准号:7111800
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项目类别:
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资助金额:$15.91万
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财政年份:2002
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负责人:MICHAEL V PANTALON
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依托单位:
Increasing Treatment Adherence in Co-Occurring Disorders
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批准号:6805283
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项目类别:
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资助金额:$13.45万
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财政年份:2002
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负责人:MICHAEL V PANTALON
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依托单位:
海外基金