Method and system for providing basal profile modification in insulin therapy for use with infusion devices includes periodically monitoring the analyte levels of a patient for a predetermined period of time in order to determine, based on the monitored analyte levels, an appropriate modification factor to be incorporated into the underlying basal profile which was running at the time the periodic monitoring of the analyte levels were performed.

Method and system for providing basal profile modification in insulin therapy for use with infusion devices includes periodically monitoring the analyte levels of a patient for a predetermined period of time in order to determine, based on the monitored analyte levels, an appropriate modification factor to be incorporated into the underlying basal profile which was running at the time the periodic monitoring of the analyte levels were performed.

A device agent including an information accessor for accessing association information obtained via an information reader. The association information includes medical device information for uniquely identifying the medical device, and device agent information for facilitating in an association between the medical device and the information reader. The device agent also includes an associator for associating the medical device and the information reader based on the association information.

A device agent including an information accessor for accessing association information obtained via an information reader. The association information includes medical device information for uniquely identifying the medical device, and device agent information for facilitating in an association between the medical device and the information reader. The device agent also includes an associator for associating the medical device and the information reader based on the association information.

An apparatus for real time monitoring of a patient is provided and includes a memory element for storing data, a processor that executes instructions associated with the data, an interface that receives sensor data from a sensor that takes measurements from the patient and sends the sensor data according to the sensor's measurement latency, a latency calculator that frequently calculates a latency threshold that varies according to at least a health status of the patient, a timer that continuously monitors the sensor's measurement latency, a comparator that frequently compares the sensor's measurement latency with the calculated latency threshold, and a feedback module that automatically changes the sensor's measurement latency to match with the calculated latency threshold.

An apparatus for real time monitoring of a patient is provided and includes a memory element for storing data, a processor that executes instructions associated with the data, an interface that receives sensor data from a sensor that takes measurements from the patient and sends the sensor data according to the sensor's measurement latency, a latency calculator that frequently calculates a latency threshold that varies according to at least a health status of the patient, a timer that continuously monitors the sensor's measurement latency, a comparator that frequently compares the sensor's measurement latency with the calculated latency threshold, and a feedback module that automatically changes the sensor's measurement latency to match with the calculated latency threshold.

Methods, apparatuses, and systems are disclosed for analyzing quality control (QC) strategies that are applied to testing processes an analyte in order to meet an acceptable level of probability of patient harm that could result from incorrect test results. The measure of patient harm takes into account severity of patient harm, as well as its occurrence. Methods include calculating, based on the parameters of the QC strategies and the test apparatus, an expected number of incorrect final results E(N.sub.uf) due to a test system failure. The value of E(N.sub.uf) can be used as part of a calculation of a predicted level of probability patient harm. The ratio of the acceptable level of probability of patient harm to the predicted level of probability patient harm can determine the adequacy of the QC strategies.

Methods, apparatuses, and systems are disclosed for analyzing quality control (QC) strategies that are applied to testing processes an analyte in order to meet an acceptable level of probability of patient harm that could result from incorrect test results. The measure of patient harm takes into account severity of patient harm, as well as its occurrence. Methods include calculating, based on the parameters of the QC strategies and the test apparatus, an expected number of incorrect final results E(N.sub.uf) due to a test system failure. The value of E(N.sub.uf) can be used as part of a calculation of a predicted level of probability patient harm. The ratio of the acceptable level of probability of patient harm to the predicted level of probability patient harm can determine the adequacy of the QC strategies.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.