Visualization of medical device event processing

Abstract

Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example apparatus includes a data processor to process one-dimensional data captured over time with respect to patient(s). The example apparatus includes a visualization processor to transform the processed data into graphical representations and to cluster the graphical representations including the first graphical representation into at least first and second blocks arranged with respect to an indicator of a criterion to provide a visual comparison of the first block and the second block with respect to the criterion. The example apparatus includes an interaction processor to facilitate interaction, via the graphical user interface, with the first and second blocks of graphical representations to extract a data set for processing from at least a subset of the first and second blocks.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This patent arises from U.S. Provisional Patent Application Ser. No. 62 / 838,022, which was filed on Apr. 24, 2019. U.S. Provisional Patent Application Ser. No. 62 / 838,022 is hereby incorporated herein by reference in its entirety. Priority to U.S. Provisional Patent Application Ser. No. 62 / 838,022 is hereby claimed.FIELD OF THE DISCLOSURE[0002]This disclosure relates generally to medical data visualization and, more particularly, to visualization of medical device event processing.BACKGROUND[0003]The statements in this section merely provide background information related to the disclosure and may not constitute prior art.[0004]Healthcare environments, such as hospitals or clinics, include information systems, such as hospital information systems (HIS), radiology information systems (RIS), clinical information systems (CIS), and cardiovascular information systems (CVIS), and storage systems, such as picture archiving and communication sys...

AI Technical Summary

Benefits of technology

The patent describes a computer-readable storage medium and a computer-implemented method for processing and visualizing medical machine time-series event data. This involves capturing data over time from patients and processing it to normalize it with a reference. The data is then transformed into a visual representation, which is clustered into two groups based on a criterion to make a comparison. The method allows for interaction with the visual representations to extract a smaller data set for further processing. The technical effect of this patent is to provide a more efficient and effective way of analyzing and processing medical machine data.

Problems solved by technology

Correlations between healthcare data remain elusive due to technological limitations on the associated systems.

Further, when data is brought together for display, the amount of data can be overwhelming and confusing.

Such data overload presents difficulties when trying to display, and competing priorities put a premium in available screen real estate.

Existing solutions are deficient in addressing these and other related concerns.

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