WO2016108965A1 - System for providing electrocardiogram (ecg) analytics for electronic medical records (emr) - Google Patents
System for providing electrocardiogram (ecg) analytics for electronic medical records (emr) Download PDFInfo
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- WO2016108965A1 WO2016108965A1 PCT/US2015/050697 US2015050697W WO2016108965A1 WO 2016108965 A1 WO2016108965 A1 WO 2016108965A1 US 2015050697 W US2015050697 W US 2015050697W WO 2016108965 A1 WO2016108965 A1 WO 2016108965A1
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- WIPO (PCT)
- Prior art keywords
- ecg
- data
- emr
- report
- serial
- Prior art date
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Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/339—Displays specially adapted therefor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/7445—Display arrangements, e.g. multiple display units
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Definitions
- the present disclosure generally relates to electrocardiogram (ECG) analysis.
- EMR electronic medical records
- EMRs simply place the image of an ECG report into a patient record as part of a list of other tests. Sometimes only the interpretation is provided without an image. Furthermore, there is no interaction with the ECG image nor is there any optimization of the analysis based on what is available via the EMR. Also, due to the advent of the EMR, the editor of the ECG is migrating from the cardiologist to the practitioner - the one who is actually making care decisions based on the ECG.
- ECG reports 100 evolved out of a 3 or 6 channel ink writer, equipped with a dot matrix printer that could only supply alphanumeric information at the top of the report 100.
- the ECG report 100 example in Figure 1 illustrates a 6-channel ECG report 100, the 6-channel ECG 105 illustrating a number of ECGs taken from a single patient.
- the ECG report 100 also includes patient information and ECG data 110 above the 6-channel ECG 105.
- current systems are very similar to what existed 30 years ago: that is, black and white characters at the top of the ECG report 100 with black waveforms superimposed over a pre-printed grid. Ironically, all current systems continue to present information in this manner, even if it is being supplied as part of an EMR.
- the system of the present application includes computerized diagnostic ECG that is tailored for the EMR.
- the system and method of the present application provides several new approaches to the computerized ECG based on information available from the EMR through an EMR portal. Some of these information items include: Test indication and reason for performing the ECG, previous ECGs as a measure of the patient's "normal" baseline; electrolytes, and drugs known to cause cardiac toxicity / prolonged QT. Based on these inputs, the computerized ECG analysis will behave differently, including the formation of reports, the ancillary information supplied with the ECG and the interpretation itself. Furthermore, quality control procedures when associating clinical data with a patient record within an EMR system ensures the accuracy and quality of data that is included with the ECG that is required to obtain accurate computerized analysis results and overcome limitations of prior attempts to do this at the electrocardiograph.
- ECG analysis comprising: a processor configured to receive ECG data and electronic medical record (EMR) through an EMR portal, data potentially correlated with the ECG data, and to analyze the ECG data and EMR data, and a display operatively connected to the processor and configured to convey an ECG report comprising the EMR data.
- EMR electronic medical record
- a graphical user interface including a display and an input device as a method for providing electrocardiogram (ECG) data in an electronic medical record (EMR), the method including receiving ECG data and electronic medical record (EMR) data, correlating the EMR data with the ECG data, analyzing the ECG data and EMR data, and conveying an ECG report in the GUI, wherein the ECG report includes the EMR data and the ECG data.
- ECG electrocardiogram
- ECG analysis including an ECG monitor configured to collect ECG data from a patient, an electronic medical record (EMR) database configured to store EMR data for the patient, a processor configured to receive the EMR data, and retrieve the ECG data from the ECG monitor through a portal, wherein the EMR data is correlated with the ECG data, and the processor is further configured to analyze the ECG data and EMR data, and a display operatively connected to the processor and configured to convey an ECG report in a graphical user interface, wherein the ECG report includes the EMR data and the ECG data.
- EMR electronic medical record
- FIG. 1 is a graphical representation of a graphical user interface (GUI) of the prior art
- FIG. 2 is a graphical representation of a GUI according to an embodiment of the present application.
- FIG. 3 is a graphical representation of a GUI according to an embodiment of the present application.
- Fig. 4 is a graphical representation of a GUI according to an embodiment of the present application.
- Fig. 5 is a graphical representation of a GUI according to an embodiment of the present application.
- FIG. 6 is a system diagram illustrating an ECG/EMR system according to an embodiment of the present application.
- Fig. 7 is a system diagram illustrating an ECG/EMR system according to an embodiment of the present application. DETAILED DESCRIPTION
- the system and method of the present application improves the operation of the current ECG and EMR systems in a number of ways: human over-reading is improved when the over-reader is aware of a patient's condition - the EMR coupled with the computerized ECG enables this; also, in general, ECG interpretation should be guided by the reason for the test which would now be reliably available from EMR; and if serial ECGs are the same in current systems, then the current systems will consistently make the same mistake.
- the system and method of the present application may pull forward the previous edited and/or corrected interpretation onto the current report from an EMR portal; certain drugs and electrolyte values impact how the ECG should be interpreted; by interacting with the report through the EMR portal, the report is not cluttered, but instead provides information when values are not within normal bounds; and ECGs acted upon as part of care decisions can be edited by the prescribing physician within the EMR.
- the technical effect and advantage is that the computerized ECG will be more accurate and tailored for the reason it was obtained.
- the system and method of the present application improves the operation of ECG monitoring and EMR practice by making current systems more reliable and accurate.
- the current systems are also improved in that every prescribing physician uses the ECG but some actually do not understand the implications of the test. If the test is tailored to the reason why the prescribing physician ordered it, then it will be more valued by the physician.
- EMRs are becoming the center of data entry, and departmental systems are being replaced by inferior EMR applications that present the ECG. By providing a superior solution that can plug into the EMR through the EMR portal, both the EMR and the ECG are improved.
- FIG. 2 is an example of an ECG report 300 of the present application. Referring to Figure 2 and Figure 6 simultaneously, this ECG report 300 and the subsequent reports discussed herein are displayed for a user on a graphical user interface (GUI) 614.
- GUI graphical user interface
- the reason for the test on the test indication 305 is obtained from the EMR database 610 for the monitored patient 616.
- the ECG data values 315 illustrate in quantitative values what is shown in the ECG data 335. Any of these data values 315 may be highlighted in a variety of ways (e.g., different color, different text, underline, bold) to alert a user of an abnormal value. Current electrocardiograph systems do not highlight abnormal values as such.
- the ECG report 300 includes a clinical findings section 310 that may include a number of tools, including the ECG data values section 315, and ECG results section 320, and a MD confirmation button 325. It is contemplated that any of these sections and/or buttons may be "turned off by a user using the user interface 210 so that the ECG report 300 is configurable by the user. The position and size of each of these sections may also be configurable by the user. It is also possible for a user to set the ECG report 300 such that values in the ECG data values section 315 that are abnormal may be highlighted, but without comment in the ECG results section 320 as to the meaning of the deviation or abnormality.
- the ECG report 300 further includes a patient demographics section 330 that may include such patient information as name, birthdate, age, sex, race, weight, medication history, or any other standard patient information that is included in the EMR.
- patient demographics section 330 may include such patient information as name, birthdate, age, sex, race, weight, medication history, or any other standard patient information that is included in the EMR.
- the test indication 305 allows the user to see the reason why the ECG is being obtained, and the time and date of such acquisition of the ECG.
- the confirmation button 325 alerts the user whether the data values and the results have been confirmed by the attending physician.
- the actual ECG data 335 is included in the ECG report 300.
- the ECG monitor settings include gain and filter settings for the ECG monitor 605.
- the ECG monitor settings are oftentimes ignored, and it is contemplated that the system and method of the present application may highlight or flag this ECG monitor setting button 345 if the settings are outside of a predetermined range for both gain and filter.
- the administrative record section 340 provides information in a barcode or other known scan and identification methods that allows the record to be located, as well as provide information regarding who created the record.
- ECG reports 300 typically there are two physicians who use these types of ECG reports 300: the prescribing MD and the over-reading cardiologist.
- the prescribing MD may ask for the ECG data 335 to be taken for a specific purpose.
- the cardiologist provides a traditional over-read of the ECG data 335 but does not necessarily address the specific reason why the test was done. Therefore, in this embodiment of the present application, there are two areas for a clinical report: a conventional reading in the clinical findings section 310, and one that addresses the specific reason why the test may have been performed.
- the Clinical Decision Support Box 350 At the bottom right of the ECG report 300 in Figure 3 is another set of text in the Clinical Decision Support Box 350 that directly answers the reason for performing the ECG test, or in other words, a conclusion on the cardiac condition of the patient.
- the Clinical Findings Section Box 310 may include the standard ECG interpretation, while the Clinical Decision Support Box 350 directly answers the question: "Can this patient undergo surgery?"
- an ECG serial report 400 is illustrated.
- a user may select a previous set of ECG data 435 to view in the ECG serial report 400.
- This previous ECG data 435 will also be accompanied by a test indication 405 and clinical findings section 410 just as at the time it was collected as described in Figure 2.
- This ECG data 435 may then be compared to current ECG data 335 as illustrated in Figure 5.
- the ECG serial data 435 is included in an ECG serial box 450 that further includes the test indication 405, identifying the time and reason for the collection of this ECG data 435.
- the ECG results box 320 will include a status of the ECG serial data 435 and also a change statement 425 regarding the difference in interpretation from the ECG data 335 and the ECG serial data 435. It should be further noted that in any of these embodiments described above, the ECG reports 300, 400 may be configured in various colors and the shapes, position and presentations of the boxes may be altered slightly to accommodate display configurations, and to accommodate user specification.
- the system may also pull forward the previous ECG results 320 that were confirmed by the MD.
- system must create a space on the ECG serial reports 400 that is reserved for the ECG report 300 that an MD would like to use when the ECG report 300 is pulled forward.
- the ECG serial box 450 is this space for previous ECG reports 300 and the ECG serial data 435.
- a patient 616 is being monitored by an ECG monitor 605.
- the ECG monitor 605 can be any monitor known in the art, portable or otherwise, that includes capabilities for collecting ECG data from the patient 616 and displaying the same.
- the ECG monitor 605 is configured to communicate with an EMR database 610.
- the EMR database 610 in the system 600 is also one known in the art.
- the computing system 612 includes a graphical user interface 614 that is capable of displaying any of the graphical user interfaces described in the previous figures.
- the computing system 612 is in communication with both the ECG monitor 605 and the EMR database 610.
- the computing device 612 and the graphical user interface (GUI) 614 may be included within either of the ECG monitor 605 or the EMR database 610, in further embodiments.
- the computing device 612 which will be described in greater detail in Figure 7, may be implemented in either one of the other two components of the system 600, namely the ECG monitor 605 or the EMR database 610.
- a user accesses the GUI 614 on the computing device 612 through an application that accesses the EMR database 610.
- the GUI 614 is a representation of an EMR of the patient 616 accessed from the EMR database 610.
- the EMR database 610 pulls ECG data from the ECG monitor 605 through an EMR portal.
- GUI 614 being a representation of a patient 616 ECG data accessed from the ECG monitor 605, the ECG monitor accessing EMR data for the patient 616 through a portal as well.
- Figure 7 is a system diagram of an exemplary embodiment of a computing system
- the computing system 200 for providing ECG analysis for EMR.
- the computing system 200 generally includes a processing system 206, storage system 204, software 202, communication interface 208 and a user interface 210.
- the processing system 206 loads and executes software 202 from the storage system 204, including a software module 230.
- software module 230 directs the processing system 206 to operate as described herein in further detail in accordance with the system described in Figure 6.
- computing system 200 as depicted in Figure 7 includes one software module in the present example, it should be understood that one or more modules could provide the same operation.
- description as provided herein refers to a computing system 200 and a processing system 206, it is to be recognized that implementations of such systems can be performed using one or more processors, which may be communicatively connected, and such implementations are considered to be within the scope of the description.
- the processing system 206 can comprise a microprocessor and other circuitry that retrieves and executes software 202 from storage system 204.
- the processing system 206 can be implemented within a single processing device but can also be distributed across multiple processing devices or sub- systems that cooperate in executing program instructions. Examples of processing system 206 include general-purpose central processing units, application specific processors, and logic devices, as well as any other type of processing device, combinations of processing devices, or variations thereof.
- the storage system 204 can comprise any storage medium readable by processing system 206, and capable of storing software 202.
- the storage system 204 can include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data.
- Storage system 204 can be implemented as a single storage device but may also be implemented across multiple storage devices or subsystems.
- Storage system 204 can further include additional elements, such as a controller capable of communicating with the processing system 206.
- Examples of storage media include a random access memory, read only memory, magnetic disks, optical disks, flash memory, virtual memory, and non-virtual memory, magnetic sets, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and that may be accessed by an instruction execution system, as well as any combination or variation thereof, or any other type of storage medium.
- User interface 210 can include a mouse, a keyboard, a voice input device, a touch input device for receiving a gesture from a user, a motion input device for detecting non-touch gestures and other motions by a user, and other comparable input devices and associated processing elements capable of receiving user input from a user.
- Output devices such as a video display or graphical display can display and interface further associated with embodiments of the system and method as disclosed herein.
- the speakers, printers, haptic devices, and other types of output devices may also be included in the user interface 210.
- the user interface 210 may be located on the computing system 200, 612, or on either of the ECG monitors 605 or EMR database 610.
- the user interface 210 includes the graphical user interface 614, and allows the user to set the parameters for each of the ECG reports 300, 400 that the user requests the system to create, and further receives those ECG reports 235 from the user interface 210.
- the computing system 200 receives ECG data 220 and EMR data 225 at the communication interface 208.
- the ECG data 220 and the EMR data 225 is then processed by the processing system 206 in order to create the ECG reports 235 as described in detail previously in this application.
- the ECG Reports 235 are then outputted by the user interface 210 through the GUI 614 display in a computing device 612, or any other device capable of supporting the GUI 614 as further described in this application.
- the communication interface 208 operates to receive the ECG and EMR data 220, 225 from other devices to which the computing system 200 is communicatively connected. Such devices include, but are not limited to, the ECG monitor 605 and EMR database 610 of Figure 6.
- the computing system 200 may receive the EMR data 225 from the EMR database 610, and pull the ECG data 220 through a portal from the EMR database 610.
- the ECG data 220 may include any ECG data collected from a 12-lead ECG device from a patient.
- the EMR data 225 can be any information typically included in the patient's electronic medical record.
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Abstract
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Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020177021504A KR20170101300A (en) | 2014-12-31 | 2015-09-17 | A system for providing electrocardiogram (ECG) analysis for electronic medical records (EMR) |
AU2015372507A AU2015372507A1 (en) | 2014-12-31 | 2015-09-17 | System for providing electrocardiogram (ECG) analytics for electronic medical records (EMR) |
JP2017533613A JP2018501877A (en) | 2014-12-31 | 2015-09-17 | System for providing electrocardiogram (ECG) analysis to an electronic medical record (EMR) |
EP15778093.3A EP3241132A1 (en) | 2014-12-31 | 2015-09-17 | System for providing electrocardiogram (ecg) analytics for electronic medical records (emr) |
CN201580072005.8A CN107710328A (en) | 2014-12-31 | 2015-09-17 | System for providing electrocardiogram (ECG) analysis for electronic medical record (EMR) |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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US14/587,607 US20160188823A1 (en) | 2014-12-31 | 2014-12-31 | System for providing electrocardiogram (ecg) analytics for electronic medical records (emr) |
US14/587,607 | 2014-12-31 |
Publications (1)
Publication Number | Publication Date |
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WO2016108965A1 true WO2016108965A1 (en) | 2016-07-07 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/US2015/050697 WO2016108965A1 (en) | 2014-12-31 | 2015-09-17 | System for providing electrocardiogram (ecg) analytics for electronic medical records (emr) |
Country Status (7)
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US (1) | US20160188823A1 (en) |
EP (1) | EP3241132A1 (en) |
JP (1) | JP2018501877A (en) |
KR (1) | KR20170101300A (en) |
CN (1) | CN107710328A (en) |
AU (1) | AU2015372507A1 (en) |
WO (1) | WO2016108965A1 (en) |
Families Citing this family (10)
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CN107847171A (en) | 2015-04-09 | 2018-03-27 | 哈特比姆公司 | For the lead heart monitoring device of movable type three and method diagnosed automatically |
US11071490B1 (en) | 2015-04-09 | 2021-07-27 | Heartbeam, Inc. | Electrocardiogram patch devices and methods |
CN107945844B (en) * | 2017-11-27 | 2021-07-16 | 上海乐普云智科技股份有限公司 | Detection report data generation method |
US10930392B2 (en) * | 2018-02-19 | 2021-02-23 | General Electric Company | System and method for processing ECG recordings from multiple patients for clinician overreading |
CN109637610A (en) * | 2018-11-19 | 2019-04-16 | 深圳市理邦精密仪器股份有限公司 | Configuration method, terminal device and the medium of electrocardio report |
US11701049B2 (en) | 2018-12-14 | 2023-07-18 | Heartbeam, Inc. | Hand held device for automatic cardiac risk and diagnostic assessment |
KR20230014384A (en) | 2021-07-21 | 2023-01-30 | 연세대학교 원주산학협력단 | Method and system for estimating low density lipoprotein cholesterol of electronic medical record using dnn model transfer learning from |
US11445963B1 (en) | 2021-10-05 | 2022-09-20 | Heartbeam, Inc. | Method and apparatus for reconstructing electrocardiogram (ECG) data |
USD1024127S1 (en) * | 2022-02-22 | 2024-04-23 | GE Precision Healthcare LLC | Display screen or portion thereof with graphical user interface |
US11529085B1 (en) | 2022-04-21 | 2022-12-20 | Heartbeam, Inc. | Apparatus for generating an electrocardiogram |
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GB2437106A (en) * | 2006-04-13 | 2007-10-17 | Gen Electric | Case based outcome prediction in a real-time monitoring system |
WO2009053888A2 (en) * | 2007-10-24 | 2009-04-30 | Koninklijke Philips Electronics, N.V. | System and method for combining serial ecg analysis and ecg ordering |
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WO2014064595A1 (en) * | 2012-10-26 | 2014-05-01 | Koninklijke Philips N.V. | Diagnostic representation and interpretation of ecg leads on a digital display |
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JP5048227B2 (en) * | 2005-07-14 | 2012-10-17 | フクダ電子株式会社 | ECG analyzer |
JP5159242B2 (en) * | 2007-10-18 | 2013-03-06 | キヤノン株式会社 | Diagnosis support device, diagnosis support device control method, and program thereof |
JP2012113629A (en) * | 2010-11-26 | 2012-06-14 | Toshiba Tec Corp | Reception system |
JP5701685B2 (en) * | 2011-05-26 | 2015-04-15 | 富士フイルム株式会社 | MEDICAL INFORMATION DISPLAY DEVICE, ITS OPERATION METHOD, AND MEDICAL INFORMATION DISPLAY PROGRAM |
BR112015031454A2 (en) * | 2013-06-18 | 2017-07-25 | Koninklijke Philips Nv | electrocardiogram device (ECG), and method for automatically updating gravity for an electrocardiogram (ECG) |
-
2014
- 2014-12-31 US US14/587,607 patent/US20160188823A1/en not_active Abandoned
-
2015
- 2015-09-17 JP JP2017533613A patent/JP2018501877A/en active Pending
- 2015-09-17 CN CN201580072005.8A patent/CN107710328A/en active Pending
- 2015-09-17 KR KR1020177021504A patent/KR20170101300A/en unknown
- 2015-09-17 EP EP15778093.3A patent/EP3241132A1/en not_active Withdrawn
- 2015-09-17 WO PCT/US2015/050697 patent/WO2016108965A1/en active Application Filing
- 2015-09-17 AU AU2015372507A patent/AU2015372507A1/en not_active Abandoned
Patent Citations (4)
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GB2437106A (en) * | 2006-04-13 | 2007-10-17 | Gen Electric | Case based outcome prediction in a real-time monitoring system |
US20130054467A1 (en) * | 2006-07-19 | 2013-02-28 | Mvisum, Inc. | System for remote review of clinical data |
WO2009053888A2 (en) * | 2007-10-24 | 2009-04-30 | Koninklijke Philips Electronics, N.V. | System and method for combining serial ecg analysis and ecg ordering |
WO2014064595A1 (en) * | 2012-10-26 | 2014-05-01 | Koninklijke Philips N.V. | Diagnostic representation and interpretation of ecg leads on a digital display |
Also Published As
Publication number | Publication date |
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JP2018501877A (en) | 2018-01-25 |
AU2015372507A1 (en) | 2017-07-06 |
US20160188823A1 (en) | 2016-06-30 |
EP3241132A1 (en) | 2017-11-08 |
KR20170101300A (en) | 2017-09-05 |
CN107710328A (en) | 2018-02-16 |
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