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公开(公告)号:US20240355445A1
公开(公告)日:2024-10-24
申请号:US18634608
申请日:2024-04-12
摘要: The invention relates generally to medication therapy and more particularly to a system and methods for medication therapy management to support improved adherence and alert clinicians of changes in behavior or symptoms. The system may facilitate interactions between various data sources (e.g., medical health records, genomics databases, and other connected third-party devices) to manage workflow, execute rules, interface with knowledge bases, codify information, schedule events, provide notification, and more. In addition, the system may include a conversational or actionable artificial intelligence persona tailored to each user and configured to, for example, converse, instruct, and/or coach a user according to one or more features of the system. Advantageously, the system may improve adherence and facilitate patient engagement, care transition, and disease management, resulting in, for example, reduced healthcare costs for providers and payers, and enhanced drug use for pharmaceutical manufacturers, pharmacies, and specialty pharmacies.
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公开(公告)号:US20240078718A1
公开(公告)日:2024-03-07
申请号:US18503353
申请日:2023-11-07
发明人: Frank Naeymi-Rad , Barbara Rapchak , David Haines , Chandan Ravishankar , John Trzesniak , Robert H. Dolin
摘要: This invention relates to the field of medical informatics, and more particularly to a system and methods for generating and displaying a user interface of a patient medical record such that a user can annotate, augment, and overall interact with clinically more accurate and detailed medical information. In addition, the system may be configured to collect, display, and model an individual's genomic makeup, physiological characteristics, healthcare history, and lifestyle to enable personalized medicine, better understand the transition from health to disease, and identify additional risk factors for disease. Advantageously, the system is configured to collect, display, and model an individual's genomic makeup, health status, health history, and social determinants of health to enable personalized medicine, better understand the transition from health to disease, and identify additional risk factors for disease.
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