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I-Corps: Biometric Data Analytics Platform to Enhance Mental Health Provider-Patient Engagement

I-Corps: Biometric Data Analytics Platform to Enhance Mental Health Provider-Patient Engagement
I-Corps:生物识别数据分析平台,增强心理健康提供者与患者的互动
批准号:
1817579
负责人:
Arjun Ramakrishnan
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-01-01 至 2018-11-30

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中文摘要
翻译
I-Corps项目更广泛的影响/商业潜力是提供一种数字健康解决方案,使患者和提供者都能进行有意义的个性化治疗。该提案有能力触及的市场是重要的,包括医疗/临床部分,研究部分和性能部分。这种方法有可能改善患者护理,同时降低医疗成本。此外,随着对患者和公众的心理健康教育的改善,围绕这些疾病的负面污名将减少,更多有需要的人将寻求治疗。最初的应用将是治疗创伤后应激障碍,这是一个迫切需要创新的领域。让患者参与他们的治疗计划将对那些患有精神疾病的人的生活产生积极的影响。I-Corps项目是一种创新方法,为精神卫生提供者、患者和其他非技术用户提供易于解释的结果。该软件从多种模式收集数据,允许比现有平台更复杂和更有价值的分析。所收集的生理数据已被科学证明与心理健康有关。此外,临床医生能够更深入地实时了解患者的生理反应,并在长期治疗计划的过程中指导临床决策。通过提供与各种可穿戴设备的无缝连接、符合hipaa的架构以确保数据隐私、与音频录制或虚拟现实环境的配对、实时笔记功能以及同时多会话覆盖,解决了现有的治疗障碍。通过客观测量工具让患者参与其治疗计划,解决了目前严重依赖主观问卷调查和自我报告的精神卫生治疗方面的明显差距。
英文摘要
The broader impact/commercial potential of this I-Corps project is to provide a digital health solution that empowers both patients and providers to engage in meaningful and personalized treatment. The market that this proposal has the ability to reach is significant and includes a medical/clinical segment, a research segment, and a performance segment. This approach has the potential to improve patient care while reducing healthcare costs. Additionally, as education of patients and the public improves regarding mental health, the negative stigma surrounding these conditions will decrease and more people in need will seek care. An initial application will be in treating Post-Traumatic Stress Disorder, where there is an urgent and critical need for innovation. Engaging patients in their treatment plans will have a positive impact on the lives of those suffering from mental illnesses.This I-Corps project is an innovative approach that provides easy to interpret results tailored to mental health providers, patients, and other non-technical users. The software aggregates data from numerous modalities, allowing for more complex and valuable analyses than existing platforms. The physiological data being collected has been scientifically proven to be related to mental well-being. Furthermore, clinicians are able to gain deeper insights into their patient's physiological response in real-time and over the course of a long-term treatment plan to guide clinical decision making. Existing barriers to treatment are addressed by providing seamless connection to various wearable devices, HIPAA-compliant architecture to ensure data privacy, pairing to audio recording or virtual reality environments, real-time note taking abilities, and simultaneous multi-session overlay. Engaging patients in their treatment plans through an objective measurement tool addresses a clear gap in mental health treatment, which is currently heavily reliant on subjective questionnaires and self-reporting.
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