Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: Disclosed are methods, apparatuses, etc. for calibrating glucose monitoring sensors and/or insulin delivery systems. In certain example embodiments, blood glucose reference samples may be correlated with sensor measurements with regard to a delay associated with the sensor measurements. In certain other example embodiments, a blood-glucose concentration in a patient may be determined based, at least in part, on one or more probability models, one or more functions for estimating blood-glucose concentrations, and/or blood glucose reference sample-sensor measurement pairs.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: Disclosed are methods, apparatuses, etc. for glucose sensor signal stability analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to assess an underlying trend of a change in responsiveness of the at least one sensor signal to the blood glucose level of the patient over time. A reliability of the at least one sensor signal to respond to the blood glucose level of the patient may be assessed based at least partly on the at least one metric assessing the underlying trend. Other example embodiments are disclosed herein.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: Disclosed are methods, apparatuses, etc. for calibrating glucose monitoring sensors and/or insulin delivery systems. In certain example embodiments, blood glucose reference samples may be correlated with sensor measurements with regard to a delay associated with the sensor measurements. In certain other example embodiments, a blood-glucose concentration in a patient may be determined based, at least in part, on one or more probability models, one or more functions for estimating blood-glucose concentrations, and/or blood glucose reference sample-sensor measurement pairs.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

Abstract: Disclosed are methods, apparatuses, etc. for glucose sensor signal stability analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to assess an underlying trend of a change in responsiveness of the at least one sensor signal to the blood glucose level of the patient over time. A reliability of the at least one sensor signal to respond to the blood glucose level of the patient may be assessed based at least partly on the at least one metric assessing the underlying trend. Other example embodiments are disclosed herein.

Abstract: Disclosed are methods, apparatuses, etc. for calibrating glucose monitoring sensors and/or insulin delivery systems. In certain example embodiments, blood glucose reference samples may be correlated with sensor measurements with regard to a delay associated with the sensor measurements. In certain other example embodiments, a blood-glucose concentration in a patient may be determined based, at least in part, on one or more probability models, one or more functions for estimating blood-glucose concentrations, and/or blood glucose reference sample-sensor measurement pairs.

Abstract: Disclosed are methods, apparatuses, etc. for glucose sensor signal stability analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to assess an underlying trend of a change in responsiveness of the at least one sensor signal to the blood glucose level of the patient over time. A reliability of the at least one sensor signal to respond to the blood glucose level of the patient may be assessed based at least partly on the at least one metric assessing an underlying trend. Other example embodiments are disclosed herein.

Abstract: Disclosed are methods, apparatuses, etc. for calibrating glucose monitoring sensors and/or insulin delivery systems. In certain example embodiments, blood glucose reference samples may be correlated with sensor measurements with regard to a delay associated with the sensor measurements. In certain other example embodiments, one or more parameters of a probability model may be estimated based on blood glucose reference sample-sensor measurement pairs. Based on such information, function(s) for estimating a blood-glucose concentration in a patient may be determined.

Abstract: Disclosed are methods, apparatuses, etc. for glucose sensor signal stability analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to assess an underlying trend of a change in responsiveness of the at least one sensor signal to the blood glucose level of the patient over time. A reliability of the at least one sensor signal to respond to the blood glucose level of the patient may be assessed based at least partly on the at least one metric assessing an underlying trend. Other example embodiments are disclosed herein.

Abstract: Disclosed are methods, apparatuses, etc. for glucose sensor signal stability analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to assess an underlying trend of a change in responsiveness of the at least one sensor signal to the blood glucose level of the patient over time. A reliability of the at least one sensor signal to respond to the blood glucose level of the patient may be assessed based at least partly on the at least one metric assessing an underlying trend. Other example embodiments are disclosed herein.