Remote monitoring of medical devices

Abstract

A remote monitoring system for medical data collection can include a data-flagging process embeds authorization and settings information into a file containing the test results. Such data flagging can occur at a medical device or testing site, and may be based in policy settings received from a remote system. A file containing the test results can also include data category information that can be used to protect sensitive information by preventing such information from being communicated to the wrong server.

Description

CROSS-REFERENCES TO RELATED APPLICATIONS[0001]This application claims benefit under 35 USC 119(e) of U.S. Provisional Application No. 61 / 673,612, filed on Jul. 19, 2012, the entire disclosure of which is incorporated by reference herein for all purposes.BACKGROUND[0002]Medical data collection can involve remotely monitoring a distributed network of medical devices, such as molecular diagnostic systems and / or other testing devices, and aggregating and processing the data provided by these medical devices into useable information. Because the medical devices may be located throughout the world, the information can be used by a host of entities, such as governments, hospitals, and other institutions to not only monitor the status of individual medical devices, but also to decipher large-scale epidemiological data and determine other valuable health and disease information. Current aggregation and processing of data from such medical data collection, i.e., sifting through data as it tri...

AI Technical Summary

Benefits of technology

The present invention provides a better way to filter data based on an author's settings. It allows real-time data filtering based on the type of authorization an entity has. This can help quickly react to medical outbreaks or other events. The invention also shows reporting results on geographical maps and other tools, making it easier to quickly understand and act on the information. Overall, the invention offers a more efficient and effective way to handle data filtering and analysis.

Problems solved by technology

Current aggregation and processing of data from such medical data collection, i.e., sifting through data as it trickles in from the medical devices, can be restrictive.

And because different entities (institutions and individuals) want to view different types of data from the medical devices, it can be difficult to provide personalized reporting data to a requesting entity in a quick manner (e.g., in real time).

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