HAZARD BASED ASSESSMENT PATTERNS
First Claim
1. A method for retrospectively assessing continuous monitoring reference pattern data to determine a risk of a patient glucose level measurement taken in at least one data segment being outside a predetermined range comprising:
- providing;
a physiological data input device for acquiring data of the at least one data segment, wherein the data is in the form of at least one glucose level measurement;
a controller in communication with the physiological data input device for generating a reference pattern from the data;
a memory coupled to the physiological data input device and the controller for storing reference pattern data of the at least one data segment and for storing an algorithm to compute and assign a risk score for the reference pattern data of the at least one data segment and access a database containing previously stored reference pattern data of previously collected data segments with previously assigned risk scores;
a processor in communication with the memory in order to execute the algorithm to compute and to assign the risk score computed for the reference pattern data of the at least one data segment and access the database containing the previously collected data segment reference pattern data with the assigned risk scores;
collecting the data of the at least one data segment;
generating the reference pattern from the data;
storing the reference pattern data;
executing, via the processor, the algorithm to compute and assign the risk score for the reference pattern data of the at least one data segment; and
comparing the risk score to the previously assigned risk scores of the reference pattern data of the previously acquired data segments for a patient for the retrospective assessment of the risk of the patient glucose level measurement taken in the at least one data segment being outside the predetermined range.
2 Assignments
0 Petitions
Accused Products
Abstract
Methods and devices for retrospectively assessing continuous monitoring reference pattern data to determine a risk of a patient glucose level measurement taken in at least one data segment being outside a predetermined range. The methods and devices can include executing an algorithm to compare risk scores derived from reference pattern data in a currently collected data segment with risk scores of previously stored reference pattern data of previously collected data segments for a patient for assessing risk.
23 Citations
20 Claims
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1. A method for retrospectively assessing continuous monitoring reference pattern data to determine a risk of a patient glucose level measurement taken in at least one data segment being outside a predetermined range comprising:
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providing; a physiological data input device for acquiring data of the at least one data segment, wherein the data is in the form of at least one glucose level measurement; a controller in communication with the physiological data input device for generating a reference pattern from the data; a memory coupled to the physiological data input device and the controller for storing reference pattern data of the at least one data segment and for storing an algorithm to compute and assign a risk score for the reference pattern data of the at least one data segment and access a database containing previously stored reference pattern data of previously collected data segments with previously assigned risk scores; a processor in communication with the memory in order to execute the algorithm to compute and to assign the risk score computed for the reference pattern data of the at least one data segment and access the database containing the previously collected data segment reference pattern data with the assigned risk scores; collecting the data of the at least one data segment; generating the reference pattern from the data; storing the reference pattern data; executing, via the processor, the algorithm to compute and assign the risk score for the reference pattern data of the at least one data segment; and comparing the risk score to the previously assigned risk scores of the reference pattern data of the previously acquired data segments for a patient for the retrospective assessment of the risk of the patient glucose level measurement taken in the at least one data segment being outside the predetermined range. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20)
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17. A method of risk quantification in one or more physiological reference pattern data of a subject to identify potential trouble spots in one or more regions of the reference pattern data where therapy change can be employed by a health care professional, said method comprising:
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providing; a physiological data input device for acquiring data of at least one data segment, wherein the data is in the form of at least one glucose level measurement; a controller in communication with the physiological data input device to for generating a reference pattern from the data; a memory coupled to the physiological data input device and the controller for storing reference pattern data of the at least one data segment and for storing an algorithm to compute and assign a risk score for the reference pattern data of the at least one data segment and access a database containing previously stored reference pattern data of previously collected data segments with previously assigned risk scores; a processor in communication with the memory to execute the algorithm to compute and to assign the risk score computed for the reference pattern data of the at least one data segment and access the database containing the previously collected data segment reference pattern data and the previously assigned risk scores; collecting, via the physiological data input device, the data in the at least one data segment obtained during continuous monitoring; generating, via the controller, the reference pattern of the data of the at least one data segment; storing, via the memory, the reference pattern data of the at least one data segment; executing, via the processor, the algorithm; assigning, via the algorithm, the risk score computed for the reference pattern data of the at least one data segment; accessing, via the algorithm, the database containing the stored reference pattern data with the previously assigned risk scores; comparing, via the algorithm, the risk score of the collected data of the at least one data segment with the previously assigned risk scores of the database; identifying, via the algorithm, the data segments stored in the database with the same risk score as the risk score computed for the reference pattern data of the at least one data segment for identification of the potential trouble spots in the one or more regions of the reference pattern data where the therapy change can be employed by the health care professional; sending the risk score computed for the reference pattern data of the data segment and a list of the identified data segments stored in the database with the same risk score as the risk score to the heath care professional.
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18. A device for retrospectively assessing continuous monitoring reference patterns to determine a risk of a patient glucose level measurement taken in at least one data segment being outside a predetermined range comprising:
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a physiological data input device for acquiring data of the at least one data segment; a controller in communication with the physiological data input device to for generating a reference pattern from the data; a memory coupled to the physiological data input device and the controller for storing the reference pattern data of the at least one data segment; and a processor in communication with the memory and configured to execute an algorithm, stored in the memory, to assign a risk score computed for the reference pattern data of the at least one data segment and access a database containing stored reference pattern data with previously assigned risk scores to compare the risk score with the previously assigned risk scores and determine a therapy to decrease a future risk score. - View Dependent Claims (19)
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Specification