EMR Display Adaptation With Real-Time Healthcare Value Analytics
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Solution Overview
Problem
Current electronic medical record (EMR) systems lack the capability to support real-time analytics for determining the financial costs of health care, fail to adapt data display to different screen sizes, and do not provide tools for comparing treatment plans with historical data, leading to sub-optimum treatment plans and excessive patient costs.
Innovation Solution
A system and method for determining and indicating health care value using a healthcare value analytics (HVA) server that generates value baselines, compares medical treatment plans with historical data, and provides real-time display of health care value continuums on various devices, including progress bars to help healthcare providers make informed decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current EMR systems are used, then basic medical record keeping is maintained, but real-time analytics for financial cost assessment are not supported
Solution Approach 1:
The patent introduces an analytics server as an intermediary component that sits between the existing EMR system and the users. This server receives data from the EMR system, performs complex financial cost analytics, and presents results to healthcare providers. The intermediary handles the analytical complexity while the core EMR system remains relatively unchanged, thus adding financial analytics capability without completely redesigning the entire system.
Solution Approach 2:
The system is segmented into distinct functional modules: the existing EMR system for data collection, a new analytics server for processing and analysis, and various user interfaces for different stakeholders. This segmentation allows the financial analytics capability to be added as a separate, manageable component rather than embedding complexity throughout the entire system.
2Productivity
If current EMR systems are used, then basic treatment planning is supported, but real-time treatment plan decision making is not enabled
Solution Approach 1:
The system pre-calculates and stores financial cost benchmarks, historical treatment data, and cost parameters in advance. When a treatment plan is being formulated, the analytics server quickly retrieves pre-prepared data and performs real-time comparisons without requiring complex calculations during the decision-making moment. This preliminary preparation enables fast real-time decision support.
Solution Approach 2:
The analytics server provides continuous feedback to healthcare providers during treatment planning by comparing proposed plans against historical data and cost benchmarks. This real-time feedback loop allows providers to immediately see the financial implications of different treatment options and adjust plans accordingly, accelerating the decision-making process.
3Adaptability or versatility
If current EMR systems are used, then standard data display is provided, but adaptability to different display screen real estate is not achieved
Solution Approach 1:
The display system is designed to be dynamic and responsive to different screen sizes and device types. The user interface automatically adjusts the layout, density, and presentation of analytics data based on the characteristics of the displaying device. This dynamic adaptation allows the same analytics platform to effectively serve desktop computers, tablets, and mobile devices without requiring separate systems for each device type.
4Measurement precision
If current EMR systems are used, then basic patient record management is maintained, but comparative analytics with historical data are not provided
Solution Approach 1:
The analytics server acts as an intermediary that specifically handles historical data retrieval and comparison. It queries the EMR system for historical treatment data, processes this data to establish benchmarks and patterns, and presents comparative analytics to providers. This intermediary approach enables sophisticated historical data utilization without requiring the core EMR system to have advanced analytical capabilities.
Data Source
AI summary
A Health Value Analytics (HVA) system includes an electronic medical record (EMR)/HVA access device in the form of comprising machine instructions for facilitating a physician's workflow. A processor at a physician's work terminal executes the machine instructions to connect the terminal with a HVA server and/or an EMR server. The processor sends a medical information request for a patient and information related to characteristics and parameters of the terminal, to one or both the HVA server and the EMR server. The processor receives, in response, an EMR page generated and adapted by the EMR server for display on the terminal. The EMR page displays an electronic medical record of the patient, and one or more HVA data objects generated by the HVA server, after the EMR server adapts the EMR page based on mode information that includes characteristics of the terminal.