Patient safety processor
First Claim
1. A patient monitor for monitoring a plurality of patients in a hospital system to detect, in real time, the development of sepsis cascades and for identifying, in real time, the patients developing the sepsis cascade, comprising:
- a plurality of local patient safety monitors at the plurality of locations, each of the plurality of local patient safety monitors configured to receive physiologic 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, and including a central safety image definitions database containing and occurrence definitions; and
wherein the central patient safety monitor is configured to receive at least the physiological measurements and to receive hematology and chemistry laboratory values associated with each patient of the plurality of patients, and includes;
a time series objectification processor configured to convert the received physiologic measurements, hematology, and chemistry laboratory values into a plurality of object streams, each including parallel time series of a plurality of objects, wherein each of the plurality of objects corresponds to one or more of an event or threshold violation of the received physiologic measurements defined by a predefined event definition set;
a relational binary processor configured to receive the plurality of object streams and generate a plurality of relational binary streams, each including parallel time series of a plurality of relational binaries, wherein each of the plurality of relational binaries corresponds to a determined relationship between two or more of the plurality of objects defined by a predefined relational binary definition set; and
a failure image processor configured to receive the plurality of object streams and the plurality of relational binary streams and further configured to generate a plurality of time-sequenced digital failure images of cascade patterns based on a combination of the plurality of relational binaries and the plurality of objects based on a predefined cascade pattern definition set and to store the images of the cascade pattern in the database of the central patient safety monitor;
wherein the at least one definition of the cascade pattern defines rise events and fall events wherein the at least one definition of the cascade pattern defines a timing of the rise events and the fall events in relation to each other to define a temporal pattern of the rise events and the fall events, and wherein the at least one definition of the cascade pattern defines a sepsis cascade as being comprised of at least four of the rise events or fall events;
a search engine configured to search the database of the central patient safety monitor to identify one or more patients having the cascade pattern, wherein the cascade pattern is a pattern indicative of sepsis; and
based on identifying the one or more patients having the cascade pattern, output on a graphical display of the central patient safety monitor an indication identifying the one or more patients having the cascade pattern and a digital image of the cascade pattern for each of the one or more patients identified as having the cascade pattern.
1 Assignment
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Accused Products
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.
577 Citations
20 Claims
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1. A patient monitor for monitoring a plurality of patients in a hospital system to detect, in real time, the development of sepsis cascades and for identifying, in real time, the patients developing the sepsis cascade, comprising:
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a plurality of local patient safety monitors at the plurality of locations, each of the plurality of local patient safety monitors configured to receive physiologic 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, and including a central safety image definitions database containing and occurrence definitions; and wherein the central patient safety monitor is configured to receive at least the physiological measurements and to receive hematology and chemistry laboratory values associated with each patient of the plurality of patients, and includes; a time series objectification processor configured to convert the received physiologic measurements, hematology, and chemistry laboratory values into a plurality of object streams, each including parallel time series of a plurality of objects, wherein each of the plurality of objects corresponds to one or more of an event or threshold violation of the received physiologic measurements defined by a predefined event definition set; a relational binary processor configured to receive the plurality of object streams and generate a plurality of relational binary streams, each including parallel time series of a plurality of relational binaries, wherein each of the plurality of relational binaries corresponds to a determined relationship between two or more of the plurality of objects defined by a predefined relational binary definition set; and a failure image processor configured to receive the plurality of object streams and the plurality of relational binary streams and further configured to generate a plurality of time-sequenced digital failure images of cascade patterns based on a combination of the plurality of relational binaries and the plurality of objects based on a predefined cascade pattern definition set and to store the images of the cascade pattern in the database of the central patient safety monitor; wherein the at least one definition of the cascade pattern defines rise events and fall events wherein the at least one definition of the cascade pattern defines a timing of the rise events and the fall events in relation to each other to define a temporal pattern of the rise events and the fall events, and wherein the at least one definition of the cascade pattern defines a sepsis cascade as being comprised of at least four of the rise events or fall events; a search engine configured to search the database of the central patient safety monitor to identify one or more patients having the cascade pattern, wherein the cascade pattern is a pattern indicative of sepsis; and based on identifying the one or more patients having the cascade pattern, output on a graphical display of the central patient safety monitor an indication identifying the one or more patients having the cascade pattern and a digital image of the cascade pattern for each of the one or more patients identified as having the cascade pattern. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A patient monitor for monitoring a plurality of patients in a hospital system to detect, in real time, the development of sepsis cascades and for identifying, in real time, the patients developing the sepsis cascade, comprising:
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a plurality of local patient safety monitors at the plurality of locations, each of the plurality of local patient safety monitors configured to receive physiologic 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, and including a central safety image definitions database containing and occurrence definitions; and wherein the central patient safety monitor is configured to receive at least the physiological measurements and to receive hematology and chemistry values associated with each patient of the plurality of patients, and includes; a time series objectification processor configured to convert the received physiologic measurements, hematology, and chemistry laboratory values into a plurality of object streams, each including parallel time series of a plurality of objects, wherein each of the plurality of objects corresponds to one or more of an event or threshold violation of the received physiologic measurements defined by a predefined event definition set; a relational binary processor configured to receive the plurality of object streams and generate a plurality of relational binary streams, each including parallel time series of a plurality of relational binaries, wherein each of the plurality of relational binaries corresponds to a determined relationship between two or more of the plurality of objects defined by a predefined relational binary definition set; and a failure image processor configured to receive the plurality of object streams and the plurality of relational binary streams and further configured to generate a plurality of time-sequenced digital failure images of cascade patterns based on a combination of the plurality of relational binaries and the plurality of objects based on a predefined cascade pattern definition set and to store the images of the cascade pattern in the database of the central patient safety monitor; wherein the at least one definition of the cascade pattern defines rise events and fall events wherein the at least one definition of the cascade pattern defines a timing of the rise events and fall events in relation to each other to define a temporal pattern of the rise events and the fall events, and wherein the at least one definition of the cascade pattern defines a sepsis cascade as being comprised of at least four of the rise events or fall events; a search engine configured to search the database of the central patient safety monitor to identify one or more patients of the plurality of patients having the cascade pattern, wherein the cascade pattern is a pattern indicative of sepsis; based on identifying the one or more patients of the plurality of patients having the cascade pattern, output a warning to a display of the central patient safety monitor indicating detection of the cascade pattern and identifying the one or more patients of the plurality of patients having physiologic data corresponding to the cascade pattern, the warning comprising a digital image of the cascade pattern; track a growth or decline of the cascade pattern; and based on tracking the growth or decline of the cascade pattern, output an indication indicative of the growth or decline of the cascade pattern, wherein the cascade pattern comprises a pathophysiologically linked series of changes in physiologic parameters and laboratory data associated with a particular patient, and wherein the growth or decline of the cascade pattern represents an increase or a decrease in a number of the pathophysiologically linked series of changes in the physiologic parameters and the laboratory data per unit time. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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18. A patient monitor for monitoring a plurality of patients in a hospital system to detect, in real time, the development of sepsis cascades and for identifying, in real time, the patients developing the sepsis cascade, comprising:
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a plurality of local patient safety monitors at the plurality of locations, each of the plurality of local patient safety monitors configured to receive physiologic 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, and including a central safety image definitions database containing and occurrence definitions; and wherein the central patient safety monitor is configured to receive at least the physiological measurements and to receive hematology and chemistry laboratory values associated with each patient of the plurality of patients, and includes; a time series objectification processor configured to convert the received physiologic measurements, hematology, and chemistry laboratory values into a plurality of object streams, each including parallel time series of a plurality of objects, wherein each of the plurality of objects corresponds to one or more of an event or threshold violation of the received physiologic measurements defined by a predefined event definition set; a relational binary processor configured to receive the plurality of object streams and generate a plurality of relational binary streams, each including parallel time series of a plurality of relational binaries, wherein each of the plurality of relational binaries corresponds to a determined relationship between two or more of the plurality of objects defined by a predefined relational binary definition set; and a failure image processor configured to receive the plurality of object streams and the plurality of relational binary streams and further configured to generate a plurality of time-sequenced digital failure images of cascade patterns based on a combination of the plurality of relational binaries and the plurality of objects based on a predefined cascade pattern definition set and to store the images of the cascade pattern in the database of the central patient safety monitor; wherein the at least one definition of the cascade pattern defines rise events and fall events, wherein the at least one definition of the cascade pattern defines a timing of the rise events and fall events in relation to each other to define a temporal pattern of the rise events and the fall events, and wherein the at least one definition of the cascade pattern defines a complex sepsis cascade as being comprised of at least four of the rise or fall events, a search engine configured to search the parallel and overlapping time series to; identify a plurality of occurrences, each occurrence of the plurality of occurrences being comprised of a rise event or a fall event, the occurrences comprising one or more inflammatory occurrences, metabolic occurrences, volumetric occurrences, hemodynamic occurrences, therapy occurrences, hematologic occurrences, or respiratory occurrences; identify a timing of the plurality of occurrences; identify at least one relational pattern of occurrences along a plurality of time series, wherein the at least one relational pattern of occurrences is indicative of sepsis for a particular patient; and identify the particular patient generating the at least one relational pattern of occurrences; and based on identifying the particular patient generating the at least one relational pattern of occurrences, output to a graphical display of the central patient safety monitor an indication comprising information identifying the particular patient generating the at least one relational pattern of occurrences and indicating a detection of sepsis for the particular patient, the indication comprising a digital image of the at least one relational pattern of occurrences. - View Dependent Claims (19, 20)
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Specification