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
批准号:
1817579
负责人:
Arjun Ramakrishnan
金额:
$5.0万
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
中文摘要
这个i-Corps项目的更广泛的影响/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够参与有意义的个性化治疗。这项计划有能力触及的市场是巨大的,包括医疗/临床部分、研究部分和业绩部分。这种方法有可能改善患者护理,同时降低医疗成本。此外,随着对患者和公众心理健康教育的改善,围绕这些疾病的负面污名将会减少,更多有需要的人将寻求治疗。最初的应用将用于治疗创伤后应激障碍,这是一个迫切和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。这个i-Corps项目是一种创新的方法,为精神健康提供者、患者和其他非技术用户提供了易于解释的结果。该软件汇集了来自多种医疗模式的数据,可以进行比现有平台更复杂、更有价值的分析。正在收集的生理数据已经被科学证明与心理健康有关。此外,临床医生能够实时和在长期治疗计划过程中对患者的生理反应进行更深入的了解,以指导临床决策。现有的治疗障碍通过提供与各种可穿戴设备的无缝连接、确保数据隐私的HIPAA兼容架构、与音频记录或虚拟现实环境配对、实时笔记功能以及同步多会话覆盖来解决。通过客观的测量工具让患者参与他们的治疗计划,解决了目前严重依赖主观问卷和自我报告的精神健康治疗方面的一个明显差距。
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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