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1. 发明申请

US20190148018A1 METHOD AND SYSTEM FOR MEDICAL SUGGESTION SEARCH 审中-公开
公开(公告)号：US20190148018A1
公开(公告)日：2019-05-16
申请号：US16246173
申请日：2019-01-11
申请人： DRFIRST.Com, Inc.
发明人： David Andrew Sellars
IPC分类号： G16H50/20
摘要： The present teaching relates to medical suggestion searching. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking. At least some of the generated one or more prescription strings and the associated rankings are stored for future use.

2. 发明申请

US20200234806A1 METHOD AND SYSTEM FOR INTELLIGENT COMPLETION OF MEDICAL RECORD BASED ON BIG DATA ANALYTICS 审中-公开
公开(公告)号：US20200234806A1
公开(公告)日：2020-07-23
申请号：US16773942
申请日：2020-01-27
申请人： DRFIRST.COM, INC.
发明人： David Andrew Sellars
IPC分类号： G16H10/60
摘要： The present teaching relates to medical record completion. In one example, a medical record of a patient is received. The medical record is associated with a plurality of components comprising a first component with a populated value and a second component with an unpopulated value. The unpopulated value of the second component is estimated based on the populated value of the first component in accordance with a first model. Information associated with the medical record and/or the patient is obtained. The values of the first and second components are validated based on the obtained information in accordance with a second model. The first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.

3. 发明授权

US10546654B2 Method and system for intelligent completion of medical record based on big data analytics 有权
公开(公告)号：US10546654B2
公开(公告)日：2020-01-28
申请号：US14972209
申请日：2015-12-17
申请人： DrFirst.com, Inc.
发明人： David Andrew Sellars
IPC分类号： G06F19/00 , G16H10/60
摘要： The present teaching relates to medical record completion. In one example, a medical record of a patient is received. The medical record is associated with a plurality of components comprising a first component with a populated value and a second component with an unpopulated value. The unpopulated value of the second component is estimated based on the populated value of the first component in accordance with a first model. Information associated with the medical record and/or the patient is obtained. The values of the first and second components are validated based on the obtained information in accordance with a second model. The first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.

4. 发明申请

US20170177796A1 METHOD AND SYSTEM FOR INTELLIGENT COMPLETION OF MEDICAL RECORD BASED ON BIG DATA ANALYTICS 审中-公开
公开(公告)号：US20170177796A1
公开(公告)日：2017-06-22
申请号：US14972209
申请日：2015-12-17
申请人： DrFirst.com, Inc.
发明人： David Andrew Sellars
IPC分类号： G06F19/00
CPC分类号： G16H10/60
摘要： The present teaching relates to medical record completion. In one example, a medical record of a patient is received. The medical record is associated with a plurality of components comprising a first component with a populated value and a second component with an unpopulated value. The unpopulated value of the second component is estimated based on the populated value of the first component in accordance with a first model. Information associated with the medical record and/or the patient is obtained. The values of the first and second components are validated based on the obtained information in accordance with a second model. The first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.

5. 发明申请

US20160055302A1 Method and System For Medical Suggestion Search 审中-公开
标题翻译：医疗建议搜索方法与系统
公开(公告)号：US20160055302A1
公开(公告)日：2016-02-25
申请号：US14613174
申请日：2015-02-03
申请人： DrFirst.com, Inc.
发明人： David Andrew Sellars
IPC分类号： G06F19/00 , G06F17/30
CPC分类号： G16H50/20 , G06F19/00
摘要： The present teaching relates to medical suggestion searching. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking At least some of the generated one or more prescription strings and the associated rankings are stored for future use.
摘要翻译：本教学涉及医学建议检索。在一个实例中，获得与药物药物相关的数据。从获得的数据中识别一个或多个候选处方字符串。每个候选处方字符串与多个属性相关联。基于至少一个模型自动处理一个或多个候选处方字符串中的每一个，以生成每个具有相关排名的一个或多个处方字符串。所生成的一个或多个处方字符串和相关联的排序中的至少一些被存储以供将来使用。

6. 发明申请

US20210398675A1 METHOD AND SYSTEM FOR MEDICAL SUGGESTION SEARCH 有权
公开(公告)号：US20210398675A1
公开(公告)日：2021-12-23
申请号：US17304925
申请日：2021-06-28
申请人： DRFIRST.COM, INC.
发明人： David Andrew Sellars
IPC分类号： G16H50/20 , G16Z99/00
摘要： The present teaching relates to medical suggestion searching. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking. At least some of the generated one or more prescription strings and the associated rankings are stored for future use.

7. 发明授权

US11049616B2 Method and system for medical suggestion search 有权
公开(公告)号：US11049616B2
公开(公告)日：2021-06-29
申请号：US16246173
申请日：2019-01-11
申请人： DRFIRST.COM, INC.
发明人： David Andrew Sellars
IPC分类号： G16H50/20 , G06Q50/00 , G06F19/00
摘要： The present teaching relates to medical suggestion searching. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking. At least some of the generated one or more prescription strings and the associated rankings are stored for future use.

8. 发明授权

US10192639B2 Method and system for medical suggestion search 有权
公开(公告)号：US10192639B2
公开(公告)日：2019-01-29
申请号：US14613174
申请日：2015-02-03
申请人： DrFirst.com, Inc.
发明人： David Andrew Sellars
IPC分类号： G06F19/00 , G06F17/30 , G16H50/20
摘要： The present teaching relates to medical suggestion searching. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking. At least some of the generated one or more prescription strings and the associated rankings are stored for future use.

9. 发明申请

US20160055313A1 Method and System For Recommending Prescription Strings 审中-公开
标题翻译：方法和系统推荐处方串
公开(公告)号：US20160055313A1
公开(公告)日：2016-02-25
申请号：US14466663
申请日：2014-08-22
申请人： DrFirst.com, Inc.
发明人： David Andrew Sellars
IPC分类号： G06F19/00
CPC分类号： G06F19/3456
摘要： Methods, systems and programming for generating and/or recommending prescription strings are presented. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking. At least some of the generated one or more prescription strings and the associated rankings are stored for future use.
摘要翻译：提出了用于生成和/或推荐处方字符串的方法，系统和程序。在一个实例中，获得与药物药物相关的数据。从获得的数据中识别一个或多个候选处方字符串。每个候选处方字符串与多个属性相关联。基于至少一个模型自动处理一个或多个候选处方字符串中的每个，以生成每个具有相关排名的一个或多个处方字符串。生成的一个或多个处方字符串中的至少一些以及相关联的排名被存储以备将来使用。

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