Patient safety processor
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.
1. A system for monitoring a plurality of patients in a hospital system to detect in real time the development of a sepsis condition and for identifying the patients developing the sepsis condition, 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 a pulse oximeter and a blood pressure monitor for one or more 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 at least the physiologic measurements from the plurality of local patient safety monitors and store the physiological measurements in an electronic medical record;
receive, from the electronic medical record, a plurality of time series associated with laboratory datasets and physiological systems of a patient;
generate, based on the plurality of time series, a plurality of perturbed time series components including time series rise events and time series fall events;
generate a plurality of relational binaries by associating one of the generated perturbed time series components with at least another one of the generated perturbed time series components based on a physiological relationship between the components;
transform each of the plurality of perturbed time series components and the plurality of relational binaries into a plurality of graphical objects, wherein each of the graphical objects is configured to indicate an event of the plurality of perturbed time series components or a relationship between at least two of the perturbed time series components, and wherein each time series rise event is transformed into a first colored element, each time series fall event is transformed into a second colored element, and each relational binary is transformed into a third colored element;
generate, from the plurality of graphical objects, a motion picture, the motion picture including an aggregate multidimensional image of the plurality of graphical objects such that the arrangement of the graphical objects in the aggregate multidimensional image indicates severity and relational progression of a sepsis condition of the patient as a progressively enlarging image as the sepsis condition progresses which displays evolving relational patterns of failure of the physiological systems of the patient; and
generate, on a display device, a graphical display comprising viewing regions corresponding to physiological systems of the patient, wherein the viewing regions comprise at least an inflammatory region, and wherein the viewing regions are configured such that the motion picture is viewable across the viewing regions with the plurality of graphical objects displayed within the viewing region corresponding to the physiological system associated with the perturbed time series component;
send at least one of, a notification to a patient safety console, an order for testing, or an order for therapy to at least one of the central patient safety monitor or one of the plurality of local patient safety monitors,
wherein the notification to the patient safety console turns on a display of the motion picture of the aggregate multidimensional image of the objects.
2. The system of claim 1 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
detect a relational pattern indicative of sepsis based on the time series rise events and the time series fall events; and
provide an automatic alarm at one of the central patient safety monitor and at least one of the plurality of local patient safety monitors based on detecting the relational pattern indicative of sepsis.
3. The system of claim 1 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to determine a progression of severity of the sepsis condition of the patient by detecting changes in the perturbed time series components.
4. The system of claim 1 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
output a timeline of the motion picture of the aggregate multidimensional image of the objects to the patient safety console; and
highlight the motion picture of the aggregate multidimensional image of the objects.
5. The system of claim 1 , comprising:
the patient safety console,
wherein sending at least one of, the notification to the patient safety console, the order for testing, or the order for therapy comprises sending the notification to the patient safety console.
6. The system of claim 5 , wherein the patient safety console is configured to display an interactive screen comprising one or more working diagnoses, differential diagnoses, laboratory parameters, monitored parameters, or subjective parameters.
7. The system of claim 1 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
provide automated visual navigation of a portion of the aggregate multidimensional image of the objects; and
present one or more navigation movement options, the one or more navigation movement options comprising a pause option configured to pause the automated visual navigation of the portion of the aggregate multidimensional image of the objects.
8. The system of claim 7 , wherein providing the automated visual navigation of the portion of the aggregate multidimensional image of the objects comprises presenting one or more audio comments or video comments provided by one or more healthcare workers.
9. The system of claim 1 , comprising:
a pulse oximeter,
wherein the memory stores additional instructions that, when executed by the processor, cause the system to receive pulse oximetry data associated with the patient from the pulse oximeter, and
wherein the time lapsable motion picture of the aggregate multidimensional image of the objects is generated based on the pulse oximetry data received from the pulse oximeter.
10. A method for monitoring a plurality of patients in a hospital system to detect in real time the development of a sepsis condition and for identifying the patients developing the sepsis condition, 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 a pulse oximeter and a blood pressure monitor for one or more 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, a plurality of time series associated with laboratory datasets and physiological systems of a patient, wherein the datasets include at least the physiological measurements received from the plurality of local patient safety monitors;
generating, by the system, based on the plurality of time series, a plurality of perturbed time series components including time series rise events and time series fall events;
generating, by the system, a plurality of relational binaries by associating one of the generated perturbed time series components with at least another one of the generated perturbed time series components based on a physiological relationship between the components;
transforming, by the system, each of the plurality of perturbed time series components and the plurality of relational binaries into a plurality of graphical objects, wherein each of the graphical objects is configured to indicate an event of the plurality of perturbed time series components or a relationship between two of the perturbed time series components;
generating, by the system, from the plurality of graphical objects, a motion picture including the plurality of graphical objects such that the arrangement of the graphical object is dynamically responsive to the time series rise events and the time series fall events and which represents a severity and progression of a sepsis condition over time as a progressively enlarging image of evolving failure of the physiological systems; and
sending, by the system, at least one of, a notification to a patient safety console, an order for testing, or an order for therapy to at least one of the central patient safety monitor or one of the local patient safety monitors,
wherein the notification to the patient safety console turns on a display of the motion picture generated by the system based on the data associated with the patient.
11. The method of claim 10 , comprising:
detecting, by the system, a relational pattern indicative of sepsis based on the time series rise events and the time series fall events; and
providing, by the system, an automatic alarm based on detecting the relational pattern indicative of sepsis.
12. The method of claim 10 , comprising:
determining, by the system, the severity of the sepsis condition by detecting changes in the perturbed time series components.
13. The method of claim 10 , comprising:
outputting, by the system, a timeline of the motion picture; and
highlighting, by the system, the motion picture.
14. A system for monitoring a plurality of patients in a hospital system to detect in real time the development of a sepsis condition and for identifying the patients developing the sepsis condition, 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 a pulse oximeter and a blood pressure monitor for one or more 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 at least the physiologic measurements from the plurality of local patient safety monitors and store the physiological measurements in an electronic medical record;
receive, from the electronic medical record, a plurality of time series associated with laboratory datasets and physiological systems associated with a patient;
generate, based on the plurality of time series, a plurality of perturbed time series components including time series rise events and time series fall events;
generate, based on the plurality of perturbed time series components, a plurality of graphical objects, wherein each graphical object is configured to indicate an event of the plurality of perturbed time series components;
generate, from the plurality of graphical objects, a motion picture such that the arrangement of the graphical objects in the motion picture represents a progression and severity of a sepsis condition as a progressively enlarging image of evolving failure of the physiological systems; and
send at least one of, a notification to a patient safety console, an order for testing, or an order for therapy to at least one of the central patient safety monitor or one of the plurality of local patient safety monitors,
wherein the notification to the patient safety console turns on a display of the motion picture generated based on the data associated with the patient.
15. The system of claim 14 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
detect, a relational pattern indicative of sepsis based on the time series rise events and the time series fall events; and
provide an automatic alarm based on detecting the relational pattern indicative of sepsis.
16. The system of claim 14 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
determine the severity of the sepsis condition by detecting changes in the perturbed time series components.
17. The system of claim 14 , comprising:
the patient safety console,
wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
output a timeline of the motion picture to the patient safety console; and
highlight the motion picture.
18. A system for monitoring a plurality of patients in a hospital system to detect in real time the development of a sepsis condition and for identifying the patients developing the sepsis condition, 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 a pulse oximeter and a blood pressure monitor for one or more 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 at least the physiologic measurements from the plurality of local patient safety monitors and store the physiological measurements in an electronic medical record;
receive, from the electronic medical record, a plurality of time series associated with laboratory datasets and physiological systems associated with a patient;
generate, based on the plurality of time series, a plurality of perturbed time series components including time series rise events and time series fall events associated with indications of an evolving pattern of failure of the physiological systems;
transform the time series rise events and the time series fall events into a pattern of graphical objects, wherein each time series rise event is transformed into a first colored element, each time series fall event is transformed into a second colored element;
generate, from the pattern of graphical objects, a dynamic image including an aggregation of the first colored elements and the second colored elements, the dynamic image evolving to display the time series rise events and time series fall events into a representation of a progression and severity of a sepsis condition as a progressively enlarging picture indicative of the evolving pattern of failure of the physiological systems over time; and
send at least one of, a notification to a patient safety console, an order for testing, or an order for therapy to at least one of the central patient safety monitor or one of the plurality of local patient safety monitors,
wherein the notification to the patient safety console turns on a display of the dynamic image.
19. The system of claim 18 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
detect a relational pattern indicative of sepsis based on the time series rise events and the time series fall events; and
provide an automatic alarm based on detecting the relational pattern indicative of sepsis.
20. The system of claim 18 wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
determine the severity of the sepsis condition by detecting a size of the progressively enlarging picture indicative of the evolving pattern of failure of the physiological systems.
21. The system of claim 18 comprising:
the patient safety console,
wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
output a timeline of the dynamic image to the patient safety console; and
highlight the dynamic image.
22. A system for monitoring a plurality of patients in a hospital system to detect in real time the development of a sepsis condition and for identifying the patients developing the sepsis condition, 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 a pulse oximeter and a blood pressure monitor for one or more 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 at least the physiologic measurements from the plurality of local patient safety monitors and store the physiological measurements in an electronic medical record;
receive, from the electronic medical record, a plurality of time series associated with laboratory datasets and physiological systems associated with a patient;
generate, based on the plurality of time series, a plurality of perturbed time series components comprising time series rise events and time series fall events;
transform the plurality of perturbed time series components into one or more graphical objects, wherein each graphical object is configured to indicate an event of the plurality of perturbed time series components;
aggregate the one or more graphical objects to align each graphical object of the one or more graphical objects in temporal and spatial relation to other graphical objects of the one or more graphical objects;
generate, from the plurality of graphical objects, a motion picture, the motion picture including a multidimensional image of the one or more graphical objects such that the arrangement of the aggregated graphical objects represents a duration and relational severity of a sepsis condition as an image which changes size and shape in response to changes in severity of the sepsis condition; and
send at least one of, a notification to a patient safety console, an order for testing, or an order for therapy to at least one of the central patient safety monitor or one of the plurality of local patient safety monitors,
wherein the notification to the patient safety console turns on a display of the multidimensional image.
23. The system of claim 22 , wherein the multidimensional image is displayed by the patient safety console as enlarging in size as the severity of the sepsis condition increases.
24. The system of claim 22 , wherein indications of exogenous actions are displayed by the patient safety console on a time axis adjacent to the multidimensional image.
25. The system of claim 24 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
determine a timing of the exogenous actions in relation to the multidimensional image as a function of time; and
generate output indicative of the timing of the exogenous actions.
26. The system of claim 24 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
determine a timing of the exogenous actions in relation to the multidimensional image as a function of time; and
generate output indicative of a delay between the exogenous action and at least one portion of the multidimensional image and at least one portion of the exogenous actions.
27. The system of claim 22 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
output an indication of expense associated with care of the patient in timed relation to the multidimensional image.
28. The system of claim 22 , wherein the multidimensional image is an animated motion picture indicative of an onset, progression, severity, and duration of the sepsis condition.
29. The system of claim 22 , wherein the multidimensional image is an animated motion picture indicative of an onset, progression, severity, and duration of the sepsis condition and of exogenous actions in timed relation to the sepsis condition.
30. The system of claim 22 , wherein the multidimensional image is an animated motion picture indicative of an onset, progression, severity, and duration of the sepsis condition and of antibiotic treatment in timed relation to the sepsis condition.
31. The system of claim 22 , wherein the memory stores additional instructions that, when executed by the processor, cause the system to:
detect an onset of the sepsis condition.