Method and apparatus for monitoring physiological parameter variability over time for one or more organs
First Claim
1. A method for enabling variability analyses conducted over time at a plurality of sites to be interpreted, said method comprising:
- providing a connection between a central service and at least a first site of said plurality of sites;
said central service obtaining from said first site, a data package comprising variability data and at least one clinical event associated with said variability data, said variability data having been generated at said first site from a variability analysis conducted over time based on sensor data acquired from at least one patient interface, said variability analysis comprising computing a measure of variability for a plurality of time intervals for at least one parameter, each measure of variability indicative of a degree and character to which a respective parameter changes over an interval of time, said at least one clinical event having been recorded at said first site during acquisition of said sensor data, each clinical event being time stamped to enable said clinical event to be associated with corresponding times at which said variability analysis was performed, each clinical event having been recorded independently of said variability analysis;
said central service storing said data package in a central database configured to store a plurality of data packages, and making said database available for further processing;
said central service enabling said clinical event data to be compared to associated variability data in at least one of said plurality of data packages to enable said variability data to be interpreted in connection with said at least one clinical event at said corresponding times; and
said central service providing feedback to at least one of said plurality of sites based on an analysis interpreting variability using said plurality of data packages in said central database.
2 Assignments
0 Petitions
Accused Products
Abstract
A system is provided for leveraging the power of the analysis of variability over time, and which uses an underlying framework that can handle variability analyses across a distributed system in a consistent manner, in part by constructing a standard variability data file that includes several manifestations of the underlying data acquired using variability monitoring. The consistent and standard data files, along with the underlying framework enables a user to make use of a set of convenient display tools, while a central entity can provide connectivity to the distributed environment and provide a way to update the equipment and software to ensure consistent and relevant analyses. The system can be extended into many environments, including in-patient, out-patient and completely mobile/stand-alone users.
72 Citations
48 Claims
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1. A method for enabling variability analyses conducted over time at a plurality of sites to be interpreted, said method comprising:
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providing a connection between a central service and at least a first site of said plurality of sites; said central service obtaining from said first site, a data package comprising variability data and at least one clinical event associated with said variability data, said variability data having been generated at said first site from a variability analysis conducted over time based on sensor data acquired from at least one patient interface, said variability analysis comprising computing a measure of variability for a plurality of time intervals for at least one parameter, each measure of variability indicative of a degree and character to which a respective parameter changes over an interval of time, said at least one clinical event having been recorded at said first site during acquisition of said sensor data, each clinical event being time stamped to enable said clinical event to be associated with corresponding times at which said variability analysis was performed, each clinical event having been recorded independently of said variability analysis; said central service storing said data package in a central database configured to store a plurality of data packages, and making said database available for further processing; said central service enabling said clinical event data to be compared to associated variability data in at least one of said plurality of data packages to enable said variability data to be interpreted in connection with said at least one clinical event at said corresponding times; and said central service providing feedback to at least one of said plurality of sites based on an analysis interpreting variability using said plurality of data packages in said central database. - View Dependent Claims (42, 43, 44)
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2. A method for enabling variability analyses to be interpreted, said method comprising a processor at a monitoring site:
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obtaining variability data generated from a variability analysis conducted over time based on sensor data acquired from at least one patient interface, said variability analysis comprising computing a measure of variability for a plurality of time intervals for at least one parameter, each measure of variability indicative of a degree and character to which a respective parameter changes over an interval of time; enabling clinical events to be recorded independently of acquisition of said sensor data used to conduct said variability analysis; obtaining at least one clinical event recorded during acquisition of said sensor data, each clinical event being time stamped to enable said clinical event to be associated with corresponding times at which said variability analysis was performed, each clinical event being recorded independently of said variability analysis; associating said at least one clinical event with said variability analysis to enable said variability data to be interpreted in connection with said at least one clinical event at said corresponding times; and outputting said variability data and said at least one clinical event with an indication of said association therebetween. - View Dependent Claims (4, 5, 6, 7, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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3. A method for preparing a data package representing results of variability analyses conducted at a respective site, said method comprising a processor at a monitoring site:
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obtaining a waveform for a physiological parameter over a period of time comprising a plurality of time intervals, said waveform having been acquired from at least one patient interface configured to obtain data from at least one sensor; using said waveform to obtain raw sensor data comprising a raw time series; smoothing said raw sensor data to obtain smooth sensor data; using said smooth sensor data to conduct a variability analysis to obtain raw variability data, said variability analysis comprising computing a measure of variability for said plurality of time intervals for at least said physiological parameter, each measure of variability indicative of a degree and character to which a respective parameter changes over an interval of time; smoothing said raw variability data to obtain smooth variability data; associating time stamp data with said raw sensor data, said smooth sensor data, said raw variability data, and said smooth variability data; generating a variability data file using said raw sensor data, said smooth sensor data, said raw variability data, said smooth variability data, and said time stamp data; obtaining at least one clinical event recorded during acquisition of said waveform, each clinical event being time stamped to enable said clinical event to be associated with corresponding times at which said variability analysis was performed, each clinical event having been recorded independently of said variability analysis; adding clinical event data corresponding to said at least one clinical event to said variability data file to enable said variability data to be interpreted in connection with said at least one clinical event at said corresponding times; and including said variability data file in said data package. - View Dependent Claims (35, 36, 37)
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8. A system for enabling variability analyses to be interpreted, said system comprising a processor, memory, and at least one connection configured to obtain variability data and clinical events, said memory storing computer executable instructions for operating said processor to:
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obtain variability data generated from a variability analysis conducted over time based on sensor data acquired from at least one patient interface, said variability analysis comprising computing a measure of variability for a plurality of time intervals for at least one parameter, each measure of variability indicative of a degree and character to which a respective parameter changes over an interval of time; enable clinical events to be recorded independently of acquisition of said sensor data used to conduct said variability analysis; obtain at least one clinical event recorded during acquisition of said sensor data, each clinical event being time stamped to enable said clinical event to be associated with corresponding times at which said variability analysis was performed, each clinical event being recorded independently of said variability analysis; associate said at least one clinical event with said variability analysis to enable said variability data to be interpreted in connection with said at least one clinical event at said corresponding times; and output said variability data and said at least one clinical event with an indication of said association therebetween. - View Dependent Claims (9, 10, 11, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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38. A system for preparing a data package representing results of variability analyses conducted at a respective site, said system comprising a processor, memory, and at least one connection configured to obtain variability data and clinical events, said memory storing computer executable instructions for operating the processor to:
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obtain a waveform for a physiological parameter over a period of time comprising a plurality of time intervals, said waveform having been acquired from at least one patient interface configured to obtain data from at least one sensor; use said waveform to obtain raw sensor data comprising a raw time series; smooth said raw sensor data to obtain smooth sensor data; use said smooth sensor data to conduct a variability analysis to obtain raw variability data, said variability analysis comprising computing a measure of variability for said plurality of time intervals for at least said physiological parameter, each measure of variability indicative of a degree and character to which a respective parameter changes over an interval of time; smooth said raw variability data to obtain smooth variability data; associate time stamp data with said raw sensor data, said smooth sensor data, said raw variability data, and said smooth variability data; generate a variability data file using said raw sensor data, said smooth sensor data, said raw variability data, said smooth variability data, and said time stamp data; obtain at least one clinical event recorded during acquisition of said waveform, each clinical event being time stamped to enable said clinical event to be associated with corresponding times at which said variability analysis was performed, each clinical event having been recorded independently of said variability analysis; add clinical event data corresponding to said at least one clinical event to said variability data file to enable said variability data to be interpreted in connection with said at least one clinical event at said corresponding times; and include said variability data file in said data package. - View Dependent Claims (39, 40, 41)
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45. A system for enabling variability analyses conducted over time at a plurality of sites to be interpreted, said system comprising a processor, memory, and at least one connection configured to communicate with said plurality of sites, said memory storing computer executable instructions for operating the processor to:
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provide a connection between said system and at least a first site of said plurality of sites; obtain from said first site, a data package comprising variability data and at least one clinical event associated with said variability data, said variability data having been generated at said first site from a variability analysis conducted over time based on sensor data acquired from at least one patient interface, said variability analysis comprising computing a measure of variability for a plurality of time intervals for at least one parameter, each measure of variability indicative of a degree and character to which a respective parameter changes over an interval of time, said at least one clinical event having been recorded at said first site during acquisition of said sensor data, each clinical event being time stamped to enable said clinical event to be associated with corresponding times at which said variability analysis was performed, each clinical event having been recorded independently of said variability analysis; store said data package in a central database configured to store a plurality of data packages, and making said database available for further processing; enable said clinical event data to be compared to associated variability data in at least one of said plurality of data packages to enable said variability data to be interpreted in connection with said at least one clinical event at said corresponding times; and provide feedback to at least one of said plurality of sites based on an analysis interpreting variability using said plurality of data packages in said central database. - View Dependent Claims (46, 47, 48)
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Specification