Managed medical information exchange
US-2015379214-A1 · Dec 31, 2015 · US
US9760679B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9760679-B2 |
| Application number | US-201113984809-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 21, 2011 |
| Priority date | Feb 11, 2011 |
| Publication date | Sep 12, 2017 |
| Grant date | Sep 12, 2017 |
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An analyte measurement system includes one or more handheld analyte meters and/or measurement devices and a means for collecting data, preserving data integrity, and uniquely identifying patient data received from multiple sources. For example, provided herein is a means to uniquely identify patients and their data when the data is collected from one or more measurement devices. By providing a way to allow the patients to use multiple sources to collect data, the system described herein provides patients with more flexibility, which should encourage better compliance to protocols. Further, by having a way to uniquely identify patients' data without requiring a patient to only use one analyte meter, for example, data can be centralized and analysis can be done with more assurance that all of the patient's data is being considered in the analyses.
Opening claim text (preview).
What is claimed is: 1. A diabetes management method, comprising: registering a patient to a diabetes management system by registering a unique patient ID on a website, wherein the patient provides security information; connecting an analyte measurement device to a personal computer, wherein the analyte measurement device installs a communication driver on the personal computer, and wherein the communication driver has instructions to automatically upload data from the analyte measurement device to the website when the analyte measurement device is attached to the personal computer; and upon completion of the registration process, the website downloading the unique patient ID to the analyte measurement device and the communication driver, wherein the instructions to automatically upload data from the analyte measurement device to the website comprises: placing the unique patient ID in a data stream to be transmitted to a central database, the central database configured to aggregate data from multiple analyte measurement devices according to a stored patient ID; recognizing and matching, by the central database, the received unique patient ID with the stored patient ID; associating, by the central database, the uploaded data with the stored patient ID; and storing the uploaded data in the central database. 2. A diabetes management method, comprising: attaching a first analyte measurement device to a personal computer with a communication driver; the first analyte measurement device placing a null character in a unique patient ID field of a data stream; the communication driver detecting a mismatch of the null character in the unique patient ID field with any of its stored IDs; the communication driver requesting the user to identify a unique patient ID based on associated patient information or security information; upon proper confirmation, the communication driver downloading the unique patient ID to the first analyte measurement device and including the unique patient ID in the device field of the data stream sent to a central database, the central database configured to aggregate data from multiple analyte measurement devices according to a stored patient ID; and the central database recognizing and matching the received unique patient ID with the stored patient ID; and the central database storing data associated with the unique patient ID. 3. The method of claim 2 , further comprising: performing, by the central database, a differential comparison of the received data associated with the unique patient ID from the first analyte measurement device with stored data associated with the unique patient ID received from a second analyte measuring device; and downloading the differential data to the first analyte measurement device. 4. The method of claim 2 , further comprising calculating an insulin dosage based on the stored data associated with the unique patient ID and communicating instructions to a medication delivery device to deliver the calculated insulin dosage.
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