DEVELOPMENT OF A FULLY-INTEGRATED CHATBOT TO IMPROVE MEMBER ENGAGEMENT IN ONLINE ADDICTION TREATMENT PROGRAMS
DEVELOPMENT OF A FULLY-INTEGRATED CHATBOT TO IMPROVE MEMBER ENGAGEMENT IN ONLINE ADDICTION TREATMENT PROGRAMS
批准号:
10261142
负责人:
Robin McIntosh
金额:
$31.4万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-01 至 2022-10-31
关键词:
AdherenceAdoptedAmericanAnxietyAppointmentAppointments and SchedulesAreaBehaviorBehavioralCaringClinicalCognitive TherapyContractsCustomDataDiagnosisDropsEmploymentEnsureFelis catusGoalsGroup TherapyHealthHealth PersonnelHealth ProfessionalHumanHybridsIndividualInsuranceInvestmentsLeadLearningLegalMeasuresMedicalMental DepressionMental HealthMental disordersModelingOutcomePathway interactionsPatient Self-ReportPatientsPatternPhaseProfessional counselorProviderPsychosocial Assessment and CareRecommendationRecoveryRelapseRiskRoleSmall Business Innovation Research GrantSubstance Use DisorderSuggestionTechnologyTelemedicineTestingTimeTreatment outcomeUnited States Substance Abuse and Mental Health Services Administrationaddictionadherence ratebasebehavior measurementchatbotcommercial applicationcommercializationdigitaldigital healthdigital treatmentevidence baseexperiencehealth organizationhealth planhospital readmissionimprovedinsightmembermobile applicationnovelopioid use disorderpatient engagementpaymentprematureprogramsretention ratesubstance use treatmenttreatment programweb app
中文摘要
项目摘要
高流失率和低依从率继续阻碍数字成瘾治疗计划的效果。
当个人过早退出治疗计划时,他们无法意识到无数
与完成成瘾治疗计划相关的好处,如更少的复发和更高的水平
就业的问题。Workit Health正在开发一款完全集成的聊天机器人,以增加数字领域的参与度
成瘾治疗计划。聊天机器人将能够提出定制的、可操作的建议
提供护理、管理和心理社会支持。这款聊天机器人的集成还将提供
为个人提供跟踪进度、识别行为模式和增量的机会
改进。虽然其他精神健康聊天机器人技术已经得到了更广泛的应用,但提供
为焦虑和抑郁患者提供支持,我们的聊天机器人将是第一个专门迎合
与毒瘾作斗争的个人。此外,我们的聊天机器人将是第一个完全集成到
一项成瘾治疗计划,采用混合的以人为本的方法。其他聊天机器人寻求取代的地方
关于精神健康提供者的某些角色,我们的聊天机器人试图确定聊天机器人可以支持的领域和
增加精神卫生专业人员。我们希望这种微妙的差异将导致对如何
医疗提供者可以与聊天机器人合作,并以新的方式利用这项技术。的长期目标是
该项目旨在寻找新的方式,让会员参与在线成瘾治疗计划,以增加
留存。这个项目将探索如何使用聊天机器人来提供个性化和可扩展的交互
参加成瘾治疗计划的人。在第一阶段,我们寻求了解我们可以如何参与
成员使用聊天机器人。在第二阶段,我们将专注于确定聊天机器人的最佳场景
回应以及如何说服成员对推荐的项目采取行动(例如安排预约
与辅导员或参加团体治疗会议)。由于领先的健康计划采用基于价值的医疗保健
因此,成瘾治疗提供者必须能够有效地通过
标准指标,如保留率、遵从性和预约出勤率。作为会员参与度
增加,我们预计这些标准结果指标将有所改善,使成员能够最大限度地
他们从成瘾治疗计划中获得的好处。该项目将提供对BEST
其他希望将聊天机器人整合到心理健康治疗计划中的治疗提供者的做法。
英文摘要
Project Abstract
High attrition and low adherence rates continue to hinder the efficacy of digital addiction treatment programs.
When individuals prematurely drop out of treatment programs, they are unable to realize the numerous
benefits associated with completing an addiction treatment program, such as fewer relapses and higher levels
of employment. Workit Health is developing a fully integrated chatbot to increase engagement in digital
addiction treatment programs. The chatbot will be able to make customized, actionable recommendations to
provide care administration and psychosocial support. The integration of this chatbot will also provide the
opportunity for individuals to track their progress, identifying behavioral patterns, and incremental
improvements. While other mental health chatbot technologies have been applied more broadly, offering
support for individuals with anxiety and depression, our chatbot will be the first to specifically cater to
individuals struggling with addiction. Moreover, our chatbot will be the first of its kind to be fully integrated into
an addiction treatment program, adopting a hybrid human-first approach. Where other chatbots seek to replace
certain roles of mental health providers, our chatbot seeks to identify areas that chatbots can support and
augment mental health professionals. We expect this nuanced difference to lead to new insights into how
medical providers can collaborate with a chatbot and new ways to utilize the technology. The long term goal of
the project is to identify novel ways to engage members in online addiction treatment programs to increase
retention. This project will explore how chatbots can be used to offer personalized and scalable interactions
with individuals in addiction treatment programs. In Phase I, we seek to understand how we can engage
members to utilize the chatbot. In Phase II, we will focus on identifying the best scenarios for a chatbot to
respond to and how to persuade members to act on recommended items (such as scheduling an appointment
with a counselor or attending a group therapy session). As leading health plans adopt value-based care
models, it is imperative that addiction treatment providers can effectively communicate their impact through
standard metrics such as retention, adherence, and appointment attendance. As member engagement
increases, we expect to see improvements in these standard outcome metrics, allowing members to maximize
the benefits that they receive from their addiction treatment program. This project will offer insights into best
practices for other treatment providers looking to integrate a chatbot into mental health treatment programs.
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