Biometric Trend Rendering Across Prior Medical Studies
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Solution Overview
Problem
Current electronic medical record (EMR) systems require clinicians to manually synthesize data from prior diagnostic medical studies, which is time-consuming, prone to errors, and inconvenient, especially in emergency settings.
Innovation Solution
A clinical monitoring system that generates links associating data points with medical records, renders a medical viewing environment with trend information, and allows clinicians to select links to open trend environments with graphs, ultimately rendering the associated medical records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clinicians manually synthesize data from prior diagnostic medical studies, then diagnostic accuracy can be achieved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically collecting, organizing, and synthesizing data from multiple prior diagnostic medical studies before the clinician needs to review them. The controller retrieves data points from various DMS types, associates them with medical records, and prepares trend information in advance, so that when the clinician accesses the system, the synthesis work is already completed or near-complete.
Solution Approach 2:
The system introduces an intermediary controller that acts as a mediator between the various diagnostic medical study systems and the clinician. This controller automatically retrieves data, performs synthesis operations, and presents organized results, eliminating the need for the clinician to manually access and synthesize data from multiple separate systems.
2Loss of information
If clinicians access multiple medical applications and diagnostic toolsets separately, then complete diagnostic data can be obtained, but ease of operation deteriorates
Solution Approach 1:
The system merges multiple separate diagnostic medical study systems and data sources into a single integrated viewing environment. The controller retrieves data points from various DMS types (Ultrasound, ECG, CT, MRI, Cath Lab, Pathology) and presents them together with associated medical records in one unified interface, eliminating the need for clinicians to switch between multiple applications.
Solution Approach 2:
The system provides a universal viewing environment that can handle and display data from multiple types of diagnostic medical studies through a single interface. The controller is designed to retrieve and process various DMS types uniformly, making the system multi-functional and eliminating the need for separate diagnostic toolsets for different data types.
3Reliability
If manual data synthesis is performed, then diagnostic insights can be derived, but error susceptibility increases
Solution Approach 1:
The system performs self-service by automatically executing the data synthesis process without requiring manual clinician intervention. The controller autonomously retrieves data points, associates them with medical records, determines trends, and generates visual presentations. This automation eliminates human error in the synthesis process while maintaining diagnostic insight accuracy.
Solution Approach 2:
The system replaces the mechanical manual process of data synthesis with an automated electronic system. Instead of clinicians manually accessing and synthesizing data, the controller electronically retrieves, processes, and synthesizes data automatically, substituting the manual mechanical process with an automated electronic one that is more reliable and less error-prone.
Data Source
AI summary
A clinical monitoring system for determining trends across medical studies, includes a controller configured to generate links, each link associating a corresponding data point (DP) of DPs with a medical record of medical records from which the corresponding DP was derived; render a medical viewing environment (VE) for a current diagnostic type, the VE including at least one link associated with trend information; determine whether the link associated with the trend information has been selected; open a trend environment comprising the trend information and having at least one trend graph comprising a plurality of corresponding datapoints (DPs) of the plurality of data points (DPs) when it is determined that the link associated with the trend information has been selected; determine whether a DP of the DPs is selected in the trend graph; and render the medical record associated with the selected DP by a corresponding link.