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1. 发明申请

US20170154160A1 INTEGRATION OF A POINT-OF-CARE BLOOD ANALYZER INTO A PREHOSPITAL TELEMEDICINE SYSTEM 审中-公开
公开(公告)号：US20170154160A1
公开(公告)日：2017-06-01
申请号：US15364176
申请日：2016-11-29
申请人： Physio-Control, Inc.
发明人： Robert G. Walker , Tyson G. Taylor , Alexander Esibov , Mitchell A. Smith
IPC分类号： G06F19/00 , A61B5/00 , A61N1/39 , A61B5/0452
CPC分类号： G06F19/3418 , A61N1/3904 , A61N1/3925 , A61N1/3993 , G16H10/60 , G16H40/63 , G16H50/20
摘要： A prehospital telemedicine system comprises a physiologic monitor; an electronic patient care reporting system (ePCR) system; and a point-of-care blood analyzer communicatively coupled to the physiologic monitor and the ePCR system. The point-of-care blood analyzer is configured to perform an analysis of a blood sample based on an indication of a need for a specific blood analysis provided by one of the physiologic monitor and the ePCR system, and to automatically transmit a result of the analysis to a remote data receiving system. The indication of a need for a specific blood analysis may be based upon any one of the following: vital signs data obtained for a patient by the physiologic monitor; and/or current documentation or past medical history captured on or available through the ePCR system.

2. 发明授权

US10950341B2 Integration of a point-of-care blood analyzer into a prehospital telemedicine system 有权
公开(公告)号：US10950341B2
公开(公告)日：2021-03-16
申请号：US15364176
申请日：2016-11-29
申请人： Physio-Control, Inc.
发明人： Robert G. Walker , Tyson G. Taylor , Alexander Esibov , Mitchell A. Smith
IPC分类号： G16H40/63 , G16H10/60 , G16H40/67 , A61B5/00 , A61B5/20 , G16H50/30 , A61B5/145 , A61N1/39 , G16H50/20
摘要： A prehospital telemedicine system comprises a physiologic monitor; an electronic patient care reporting system (ePCR) system; and a point-of-care blood analyzer communicatively coupled to the physiologic monitor and the ePCR system. The point-of-care blood analyzer is configured to perform an analysis of a blood sample based on an indication of a need for a specific blood analysis provided by one of the physiologic monitor and the ePCR system, and to automatically transmit a result of the analysis to a remote data receiving system. The indication of a need for a specific blood analysis may be based upon any one of the following: vital signs data obtained for a patient by the physiologic monitor; and/or current documentation or past medical history captured on or available through the ePCR system.

3. 发明申请

US20210202083A1 INTEGRATION OF A POINT-OF-CARE BLOOD ANALYZER INTO A PREHOSPITAL TELEMEDICINE SYSTEM 有权
公开(公告)号：US20210202083A1
公开(公告)日：2021-07-01
申请号：US17201420
申请日：2021-03-15
申请人： Physio-Control, Inc.
发明人： Robert G. Walker , Tyson G. Taylor , Alexander Esibov , Mitchell A. Smith
IPC分类号： G16H40/63 , A61N1/39 , G16H50/20 , G16H10/60 , G16H40/67 , A61B5/00 , A61B5/20
摘要： A prehospital telemedicine system comprises a physiologic monitor; an electronic patient care reporting system (ePCR) system; and a point-of-care blood analyzer communicatively coupled to the physiologic monitor and the ePCR system. The point-of-care blood analyzer is configured to perform an analysis of a blood sample based on an indication of a need for a specific blood analysis provided by one of the physiologic monitor and the ePCR system, and to automatically transmit a result of the analysis to a remote data receiving system. The indication of a need for a specific blood analysis may be based upon any one of the following: vital signs data obtained for a patient by the physiologic monitor; and/or current documentation or past medical history captured on or available through the ePCR system.

4. 发明授权

US10114807B2 Automatically evaluating likely accuracy of event annotations in field data 有权
公开(公告)号：US10114807B2
公开(公告)日：2018-10-30
申请号：US13964811
申请日：2013-08-12
申请人： Physio-Control, Inc.
发明人： Alexander Esibov , Isabelle Banville , Robert Marx , Fred Chapman , Randy Merry
IPC分类号： G06F17/20 , G06F17/24 , A61N1/39 , G06F17/27
摘要： Embodiments operate in contexts where field data have been generated from a field event, and annotations have been generated from the field data, which purport to identify events within the field data, such as CPR compressions and ventilations. Metrics are generated from the annotations, which are used in training. In such contexts, a grade may be assigned that reflects how well the annotations meet one or more accuracy criteria. The grade may be used in a number of ways. Reviewers may opt to disregard field data and metrics that have a low grade. Expert annotators may be guided as to precisely which annotations to revise, saving time. A low grade may decide that the results are not emailed to reviewers, but to annotators. A learning medical device can use the grade internally to adjust its own internal parameters so as to improve its annotating algorithms.

5. 发明申请

US20140047314A1 AUTOMATICALLY EVALUATING LIKELY ACCURACY OF EVENT ANNOTATIONS IN FIELD DATA 审中-公开
标题翻译：在现场数据中自动评估事件注释的有效精度
公开(公告)号：US20140047314A1
公开(公告)日：2014-02-13
申请号：US13964811
申请日：2013-08-12
申请人： Physio-Control, Inc
发明人： Alexander Esibov , Isabelle Banville , Robert Marx , Fred Chapman , Randy Merry
IPC分类号： G06F17/24
CPC分类号： G06F17/241 , A61N1/39044 , G06F17/27
摘要： Embodiments operate in contexts where field data have been generated from a field event, and annotations have been generated from the field data, which purport to identify events within the field data, such as CPR compressions and ventilations. Metrics are generated from the annotations, which are used in training. In such contexts, a grade may be assigned that reflects how well the annotations meet one or more accuracy criteria. The grade may be used in a number of ways. Reviewers may opt to disregard field data and metrics that have a low grade. Expert annotators may be guided as to precisely which annotations to revise, saving time. A low grade may decide that the results are not emailed to reviewers, but to annotators. A learning medical device can use the grade internally to adjust its own internal parameters so as to improve its annotating algorithms.
摘要翻译：实施例在从现场事件生成现场数据的情况下操作，并且已经从现场数据生成了注释，其旨在识别现场数据内的事件，例如CPR压缩和通风。指标是从训练中使用的注释生成的。在这种情况下，可以分配反映注释符合一个或多个准确性标准的程度的等级。该等级可以以多种方式使用。审核人员可以选择忽略具有低等级的现场数据和指标。专家评论员可能会精确地指导哪些注释进行修改，从而节省时间。低等级可能会决定结果不是通过电子邮件发送给审阅者，而是发送给注释者。学习医疗器械可以在内部使用档次调整自己的内部参数，从而改进其注释算法。

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