发明公开
- 专利标题: SYSTEMS AND METHODS FOR USING MACHINE LEARNING ALGORITHMS TO IDENTIFY CARE GAPS
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申请号: US17992755申请日: 2022-11-22
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公开(公告)号: US20240170154A1公开(公告)日: 2024-05-23
- 发明人: Yechi Ma , Wesley Huang , Abdulkadir Hallac
- 申请人: Aetna Inc.
- 申请人地址: US CT Hartford
- 专利权人: Aetna Inc.
- 当前专利权人: Aetna Inc.
- 当前专利权人地址: US CT Hartford
- 主分类号: G16H50/30
- IPC分类号: G16H50/30 ; G16H10/60 ; G16H20/00
摘要:
In some instances, a method is provided. The method comprises obtaining one or more care gap machine learning-artificial intelligence (ML-AI) models; obtaining individual information of an individual, wherein the individual information indicates one or more medical conditions of the individual and personal information of the individual; determining care gap information of the individual based on using the one or more care gap ML-AI models and the individual information, wherein the care gap information indicates one or more predictions for expectancy of a care gap of the individual, and wherein the care gap is associated with a gap in time that the individual has a lapse in receiving medical care for the one or more medical conditions; and performing one or more care gap interventions based on the care gap information.
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