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公开(公告)号:US10964426B2
公开(公告)日:2021-03-30
申请号:US14885169
申请日:2015-10-16
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Brandon Stephen Good , Andrew Phelps Day , David S. Toledano , Yang Zhao , Jeffrey Richardson Terry
Abstract: Certain examples provide systems and methods to monitor and control hospital operational systems based on occupancy data and medical orders. An example healthcare workflow management and reasoning system includes a workflow engine including a first particularly programmed processor to monitor one or more medical orders from one or more hospital information systems to identify a condition indicating that a first patient in a first room is ready for a clinical activity such as discharge. The example healthcare workflow management and reasoning system includes a sensing component including a second processor to gather occupancy data regarding the first patient in the first room and transmit the occupancy data to the workflow engine. The example workflow engine controls one or more hospital operational systems to trigger cleaning of the first room, lighting settings for the first room, and transportation of a second patient to the first room based on occupancy data from the sensing component.
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公开(公告)号:US10679754B2
公开(公告)日:2020-06-09
申请号:US16045319
申请日:2018-07-25
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu , Jeffrey Richardson Terry
Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.
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3.
公开(公告)号:US20150363566A1
公开(公告)日:2015-12-17
申请号:US14737132
申请日:2015-06-11
Applicant: GENERAL ELECTRIC COMPANY
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu , Jeffrey Richardson Terry
IPC: G06F19/00
CPC classification number: G16H50/30 , G06F19/00 , G06F19/3481 , G16H20/40 , G16H40/20
Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.
Abstract translation: 一个示例方法包括:根据患者属性和临床方案分类肺功能风险; 基于患者属性,临床方案和患者肺功能风险,产生符合临床协议的报警和激励措施; 与所识别的患者特征相比,基于所述临床装置的标记特征确定临床装置的取向和位置; 监测患者与临床装置的相互作用; 基于所监测的患者相互作用,患者生物测定指示物和方案中的期望设定点状态来识别与临床方案的偏差; 当识别出偏差时,提供与偏差成比例的反馈,反馈包括相对于临床方案和/或临床装置的调整; 并且基于偏差和反馈触发至少一个警报和/或激励,其中警报/激励基于是否以及在多大程度上识别偏差和反馈而不同。
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公开(公告)号:US20200337628A1
公开(公告)日:2020-10-29
申请号:US16901907
申请日:2020-06-15
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu
Abstract: The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.
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公开(公告)号:US20180330827A1
公开(公告)日:2018-11-15
申请号:US16045319
申请日:2018-07-25
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu , Jeffrey Richardson Terry
Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.
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公开(公告)号:US10061897B2
公开(公告)日:2018-08-28
申请号:US14737132
申请日:2015-06-11
Applicant: GENERAL ELECTRIC COMPANY
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu , Jeffrey Richardson Terry
CPC classification number: G16H50/30 , G06F19/00 , G06F19/3481 , G16H20/40 , G16H40/20
Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.
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公开(公告)号:US10682090B2
公开(公告)日:2020-06-16
申请号:US15197151
申请日:2016-06-29
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu
Abstract: The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.
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公开(公告)号:US20180000407A1
公开(公告)日:2018-01-04
申请号:US15197151
申请日:2016-06-29
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Peter Henry Tu , Andrew Phelps Day , Ting Yu
Abstract: The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.
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9.
公开(公告)号:US20170109481A1
公开(公告)日:2017-04-20
申请号:US14885169
申请日:2015-10-16
Applicant: General Electric Company
Inventor: Christopher Donald Johnson , Brandon Stephen Good , Andrew Phelps Day , David S. Toledano , Yang Zhao , Jeffrey Richardson Terry
IPC: G06F19/00
CPC classification number: G16H40/20
Abstract: Certain examples provide systems and methods to monitor and control hospital operational systems based on occupancy data and medical orders. An example healthcare workflow management and reasoning system includes a workflow engine including a first particularly programmed processor to monitor one or more medical orders from one or more hospital information systems to identify a condition indicating that a first patient in a first room is ready for a clinical activity such as discharge. The example healthcare workflow management and reasoning system includes a sensing component including a second processor to gather occupancy data regarding the first patient in the first room and transmit the occupancy data to the workflow engine. The example workflow engine controls one or more hospital operational systems to trigger cleaning of the first room, lighting settings for the first room, and transportation of a second patient to the first room based on occupancy data from the sensing component.
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