Patient safety processor

• US 10,366,790 B2
• Filed: 03/15/2013
• Issued: 07/30/2019
• Est. Priority Date: 05/17/2001
• Status: Expired due to Fees

• Current Assignee: Lawrence A. Lynn
• Original Assignee: Lawrence A. Lynn
• Inventors: Lynn, Lawrence A., Lynn, Eric N.
• Primary Examiner(s): Ng, Jonathan
• Application Number:
  US13/844,381
• Publication Number:
  US 20130290011A1
• Time in Patent Office: 2,328 Days
• Field of Search: 705 2, 705 3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: H04N 9/87 Regeneration of colour television signals H04N9/80 takes precedence

Abstract

A processor-based system for analyzing physiologic data and medical care is provided wherein the patient data is analyzed to construct images that are representative of a patient'"'"'s condition. The processor provides a self-modulating analysis, which is responsive to the occurrence of additional data items to increase the information contained in the images. Identifications of modes of physiologic failure by the analysis of the generated images provides for earlier recognition and intervention and improved protocolization of testing and treatment.

Claims

1. A patient monitoring system for monitoring, in real time, a plurality of patients in a hospital system to detect the development of sepsis cascades and for identifying the patients developing the sepsis cascade, the system comprising:

a plurality of local patient safety monitors, each of the plurality of local patient safety monitors configured to receive physiological measurements from at least one of a pulse oximeter or a blood pressure monitor for the plurality of patients,

a central patient safety monitor remote from the plurality of local patient safety monitors, the central patient safety monitor having a processor and memory storing instructions that, when executed by the processor, cause the system to;

receive the physiological measurements from the plurality of local patient safety monitors, and store the physiological measures in an electronic medical record;

receive the electronic medical records relating to the plurality of patients;

convert the electronic medical record into trend data, wherein the trend data is sequential, and wherein the trend data comprises information indicative of trends in physiologic parameters and laboratory data over time;

detect relational trends based on the trend data, the relational trends comprising positive or negative trends;

continuously search for and detect a sepsis cascade pattern associated with the relational trends occurring in at least one of the plurality of patients;

identify the at least one patient generating a sepsis cascade pattern detected in the continuous search;

automatically trigger, in response to the identification of the sepsis cascade pattern, generation of a real-time image of the sepsis cascade pattern at the central patient safety monitor;

compare the sepsis cascade pattern to a pattern definition to determine one or more characteristics of the sepsis cascade pattern; and

output the real-time image of the sepsis cascade pattern, an indication of the one or more characteristics of the sepsis cascade pattern, and the identity of the at least one patient to at least a display device of the central patient safety monitor by

generating a graphical display having viewing regions corresponding to physiologic systems of the patient, wherein the viewing regions include at least an inflammatory region, wherein the viewing regions are configured so that the sepsis cascade pattern is displayed such that the sepsis cascade pattern is viewable spreading over time within at least the inflammation region, and generating indications of the one or more characteristics of the cascade pattern on the graphical display, and

configuring the viewing regions so that sepsis cascade pattern is displayed as spreading within and/or across the viewing regions as the severity of the cascade patterns progress over time, such that the sepsis cascade is viewable progressively spreading over time from the origin of the sepsis cascade to the termination of the sepsis cascade, and the viewing regions are configured so that the sepsis cascade spreads along at least one axis and at least partially across the graphical display over time.

2. The system of claim 1, wherein the pattern definition comprises a set of reference images associated with different sepsis cascade patterns.

3. The system of claim 1, wherein the pattern definition comprises an image associated with a patient having a diagnosis confirmed by one or more of autopsy, histopathology, microbiology, expert consensus, or genetic testing.

4. The system of claim 1, wherein the sepsis cascade pattern is indicative of physiologic failure.

5. The system of claim 4, wherein the physiologic failure corresponds to one or more of severe sepsis, septic shock, microcirculatory failure, a shock cascade, or a septic shock cascade.

6. The system of claim 1, wherein the memory stores additional instructions that, when executed by the processor, cause the system to provide an indication of a type of the sepsis cascade pattern.

7. The system of claim 1, wherein the memory stores additional instructions that, when executed by the processor, cause the system to provide an indication of timing or type of the relational trends.

8. The system of claim 1, wherein the memory stores additional instructions that, when executed by the processor, cause the system to provide an indication of a length of the sepsis cascade pattern.

9. The system of claim 1, wherein the memory stores additional instructions that, when executed by the processor, cause the system to identify an onset of therapy and provide an indication of timing of the therapy in relation to the sepsis cascade pattern.

10. The system of claim 1, wherein the memory stores additional instructions that, when executed by the processor, cause the system to:

send a notification to a patient safety console, the notification comprising information associated with the real-time image of the sepsis cascade pattern and the indication of the one or more characteristics of the sepsis cascade pattern,

wherein the notification causes the patient safety console to display the real-time image of the sepsis cascade pattern and the indication of the one or more characteristics of the sepsis cascade pattern.

11. The system of claim 1, comprising:

a pulse oximeter; and

a blood pressure monitor,

wherein a portion of the electronic medical record is derived from output received from the pulse oximeter and the blood pressure monitor.

12. A method for monitoring, in real time, a plurality of patients in a hospital system to detect the development of sepsis cascades and for identifying the patients developing the sepsis cascade, the method comprising:

providing a plurality of local patient safety monitors, each of the plurality of local patient safety monitors configured to receive physiological measurements from at least one of a pulse oximeter or a blood pressure monitor for the plurality of patients,

providing a central patient safety monitor remote from the plurality of local patient safety monitors, the central patient safety monitor having a processor and a memory;

receiving, by the central patient safety monitor, from an electronic medical record, data related to a plurality of physiological parameters associated with the plurality of patients over time, wherein the data include at least the physiological measurements received from the plurality of local patient safety monitors;

generating, by the system, a plurality of time series based on the data, wherein each time series of the plurality of time series corresponds to a physiological parameter of the plurality of physiological parameters;

converting, by the system, each time series of the plurality of time series into discrete objects;

generating, by the system, a plurality of groupings to create a plurality of binary objects, wherein each grouping of the plurality of groupings comprises two or more discrete objects that are grouped based on a physiological relationship between the two or more discrete objects of the grouping;

inserting, by the system, the plurality of binary objects into an image to generate an image representation of a condition of the patient;

comparing, by the system, the image representation of the condition of the patient to a plurality of image representations of sepsis or to a plurality of image definitions of sepsis;

continuously searching for and detecting, by the system, a sepsis cascade pattern associated with the plurality of binary objects occurring in at least one of the plurality of patients;

identifying the at least one patient generating the sepsis cascade pattern detected in the continuous search;

determining, by the system, a severity of a sepsis condition of the patient based on comparing the image representation of the condition of the patient to the plurality of image representations of sepsis or to the plurality of image definitions of sepsis;

automatically triggering, in response to the identification of the sepsis cascade pattern, generation, by the system, of a real time image of the sepsis cascade pattern detected by the system at the central patient safety monitor; and

outputting, by the system, to a display device of the central patient safety monitor or one of the local patient safety monitors, the real time image of the sepsis cascade pattern, the identity of the one or more patients, and an indication of the severity of the sepsis condition of the one or more patients,

wherein outputting to the display device includes

generating a graphical display having viewing regions corresponding to physiologic systems of the patient, wherein the viewing regions include at least an inflammatory region, wherein the viewing regions are configured so that the sepsis cascade pattern is displayed such that the sepsis cascade pattern is viewable spreading over time within at least the inflammation region, and generating indications of the one or more characteristics of the cascade pattern on the graphical display, and

configuring the viewing regions so that sepsis cascade pattern is displayed as spreading within and/or across the viewing regions as the severity of the cascade patterns progress over time, such that the sepsis cascade is viewable progressively spreading over time from the origin of the sepsis cascade to the termination of the sepsis cascade and the viewing regions are configured so that the sepsis cascade spreads along at least one axis and at least partially across the graphical display over time.

13. The method of claim 12, wherein generating the plurality of groupings to create the plurality of binary objects comprises grouping two or more discrete objects representative of an increase in a physiological parameter over time.

14. The method of claim 12, wherein generating the plurality of groupings to create the plurality of binary objects comprises grouping two or more discrete objects representative of a decrease in a physiological parameter over time.

15. The method of claim 12, wherein generating the plurality of groupings to create the plurality of binary objects comprises grouping two or more discrete objects representative of a drug treatment, wherein one discrete object of the two or more discrete objects representative of the drug treatment represents a patient state prior to the drug treatment.

16. The method of claim 12, wherein the plurality of image representations of sepsis comprises one or more previously acquired images.

17. The method of claim 12, wherein comparing the image representation of the condition of the patient to the plurality of image representations of sepsis or to the plurality of image definitions of sepsis comprises matching the image representation of the condition of the patient to the plurality of image representations of sepsis or to the plurality of image definitions of sepsis based on similarity.

18. The method of claim 12, comprising:

sending, by the system, a notification to a patient safety console, the notification comprising information associated with the real time image of the sepsis cascade pattern and the indication of the severity of the sepsis condition of the patient,

wherein the notification causes the patient safety console to display the real time image of the sepsis cascade pattern and the indication of the severity of the sepsis condition of the patient.

19. The method of claim 12,

wherein the system comprises a pulse oximeter and a blood pressure monitor, and

wherein additional data related to the plurality of physiological parameters associated with the patient is derived from output received from the pulse oximeter and the blood pressure monitor.

20. A patient monitoring system for monitoring, in real time, a plurality of patients in a hospital system to detect the development of sepsis cascades and for identifying the patients developing the sepsis cascade, the system comprising:

a plurality of local patient safety monitors, each of the plurality of local patient safety monitors configured to receive physiological measurements from at least one of a pulse oximeter or a blood pressure monitor for the plurality of patients, and

a central patient safety monitor remote from the plurality of local patient safety monitors, the central patient safety monitor having a processor and memory storing instructions that, when executed by the processor, cause the central patient safety monitor to;

receive electronic medical records relating to the plurality of patients;

receive output from the pulse oximeter and the blood pressure monitor from the plurality of local patient safety monitors;

convert the electronic medical record and the output from the pulse oximeter and the blood pressure monitor into trend data, wherein the trend data is sequential, and wherein the trend data comprises information indicative of trends in physiologic parameters and laboratory data relating to the patient over time;

detect relational trends based on the trend data, the relational trends comprising positive trends or negative trends;

continuously search for and detect a sepsis cascade pattern associated with the relational trends occurring in at least one of the plurality of patients;

identify the at least one patient generating the sepsis cascade pattern detected in the continuous search;

automatically trigger, in response to the identification of the sepsis cascade pattern, generation of a real-time image of the sepsis cascade pattern at the central patient safety monitor;

compare the sepsis cascade pattern to a pattern definition to determine one or more characteristics of the sepsis cascade pattern, wherein the pattern definition comprises a definition set associated with different sepsis cascade patterns; and

send a notification to at least a patient safety console of the central patient safety monitor, the notification comprising information associated with the real-time image of the sepsis cascade pattern, an indication of the one or more characteristics of the sepsis cascade pattern, and the identity of the one or more patients,

wherein the notification causes the patient safety console to display the real-time image of the sepsis cascade pattern and the indication of the one or more characteristics of the sepsis cascade pattern by

generating a graphical display having viewing regions corresponding to physiologic systems of the patient, wherein the viewing regions include at least an inflammatory region, wherein the viewing regions are configured so that the sepsis cascade pattern is displayed such that the sepsis cascade pattern is viewable spreading over time within at least the inflammation region, and generating indications of the one or more characteristics of the cascade pattern on the graphical display, and

configuring the viewing regions so that sepsis cascade pattern is displayed as spreading within and/or across the viewing regions as the severity of the cascade patterns progress over time, such that the sepsis cascade is viewable progressively spreading over time from the origin of the sepsis cascade to the termination of the sepsis cascade and the viewing regions are configured so that the sepsis cascade spreads along at least one axis and at least partially across the graphical display over time.