OPTIMIZATION OF TIMING FOR DATA
COLLECTION AND ANALYSIS IN
ADVANCED PATIENT MANAGEMENT
CROSS REFERENCE TO RELATED
This application is a continuation of U.S. application Ser. No. 11/174,922, filed Jul. 5, 2005, the contents of which are 10 incorporated herein by reference.
The present disclosure relates generally to advanced 15 patient management systems. More particularly, the present disclosure relates to the optimization of the timing for data collection and analysis in advanced patient management systems.
Management of patients with chronic disease consumes a significant proportion of the total health care expenditure in ^ the United States. Many of these diseases, such as heart disease, are widely prevalent and have significant annual incidences as well. Patients with chronic heart disease can receive implanted cardiac rhythm management (CRM) devices such as pacemakers, implantable cardioverter 3Q defibrillators (ICDs), and heart failure cardiac resynchronization therapy (CRT) devices to provide treatment for the disease.
Advanced patient management (APM) systems allow caregivers to remotely gather and analyze data associated with a 35 patient and the patient's CRM device. APM systems provide a vast amount of information to the caregiver in an automated manner. This information can provide insights into a patient's well being and help the caregiver predict significant changes in a patient's health, such as a decompensation event associ- 40 ated with a heart attack. However, the time lag between when data is updated on a CRM device and when it is collected, analyzed, and presented for review by the APM system can reduce the timeliness of the information provided to the caregiver. 45
For example, CRM devices can update device data stored in the CRM device memory at periodic intervals, such as once per day. One example of device data that can be updated periodically by a CRM device is heart rate variability. For example, the CRM device can be programmed to update an 50 average heart rate variability for a patient once per day. The timing for these device updates is usually arbitrarily set at the time at which the CRM device is originally initiated prior to or at the time of implantation. There can be a significant time lag due to a lack of coordination between the device data 55 update time by a CRM device and the time at which an APM system collects data from (e.g., interrogates) the device.
For example, a CRM device can be arbitrarily set to update device data at time-of-day A in day 1, as shown in FIG. 1. Assume that the APM system interrogates the CRM device at 60 time-of-day B in day 2, and that the caregiver accesses the APM system to review the information that the APM system has collected from the device and analyzed at time-of-day C. Although the entire interval or lag D between device data (time-of-day A) and caregiver review (time-of-day C) spans 65 two days, it is a relatively short period, so that the caregiver is reviewing recently acquired and analyzed information.
However, in another example shown in FIG. 2, assume again that the CRM device is arbitrarily set to update device data at time-of-day A earlier in day 1, and that the APM system interrogates the CRM device at time-of-day B in day 2. Also assume that the caregiver does not review the information on the APM system until later at time-of-day C. In this scenario, lag D is more significant, resulting in less-timely information being provided to the caregiver. In a worst-case scenario based on daily device updates and interrogations, the caregiver could be presented with information that is fortyeight (48) hours old. It is desirable to minimize lag D so that the caregiver is given data that is as current as possible so that the caregiver can make timely decisions regarding a patient's health.
In addition to the potential time lag problems associated with the collection of data, an APM system can potentially be used to analyze data associated with thousands or millions of patients at any given time. It is therefore desirable to optimize analysis of data on the APM system such that the APM system can efficiently analyze each patient's data while presenting current data to each caregiver as the caregiver accesses the APM system.
The present disclosure relates generally to advanced patient management systems. More particularly, the present disclosure relates to the optimization of the timing for data collection and analysis in advanced patient management systems.
According to one aspect, an advanced patient management system includes a unit for collecting data from a device associated with a patient, and a host in communication with the unit, the host identifying a time for the unit to collect data from the device.
According to another aspect, a method for collecting and analyzing data associated with a device of a patient by an advanced patient management system includes: identifying a time period during which the device is most likely to be available for data collection, setting a device update time based on the time period during which the device is most likely to be available for data collection, and setting a data collection time based on the time period during which the device is most likely to be available for data collection.
According to yet another aspect, a method for gathering and processing data associated with a device of a patient by an advanced patient management system includes: identifying a time period during which data associated with the patient is most likely to be accessed by a caregiver, setting an analysis time for the data based on the time period during which the data associated with the patient is most likely to be accessed, and analyzing the data at the analysis time.
The above summary is not intended to describe each disclosed embodiment or every implementation of the present invention. The figures and the detailed description that follow further describe these embodiments.
DESCRIPTION OF THE DRAWINGS
Aspects of the invention may be more completely understood in consideration of the following detailed description of various embodiments of the invention in connection with the accompanying drawings, in which:
FIG. 1 illustrates an example timeline for device data update, interrogation, and review of data associated with a patient's device;