Predictive Hospital Utilization Display with Visual Attribute Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern healthcare facilities face inefficiencies due to a lack of real-time and historical data management, leading to suboptimal patient care and operational capacity, as staff often lack timely and accurate information on facility utilization, resulting in bottlenecks and decreased quality of care.
Innovation Solution
A system and method for generating predictive graphical user interfaces that benchmark hospital performance, display current facility utilization, and calculate future utilization levels, adjusting visual attributes to reflect differences, enabling informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vast amounts of real-time and historical data are collected in hospitals, then the information available for decision-making increases, but the ability to display and process this information quickly and in an easy-to-read format deteriorates
Solution Approach 1:
The patent segments the vast amount of hospital data into distinct categories (real-time data, historical data, predictive data) and displays them through separate interactive components including current status displays, historical trend graphs, and predictive analytics modules. This allows users to access comprehensive information without being overwhelmed by a single complex display.
Solution Approach 2:
The patent adds temporal dimensions to data display by showing current facility utilization alongside historical trends and future predictions. The system transforms static data into dynamic multi-temporal visualizations, allowing users to view the same facility metrics across different time perspectives simultaneously through an intuitive graphical interface.
2Ease of operation
If hospital personnel rely on available data without predictive analytics, then current operational procedures are maintained, but the ability to proactively manage facility utilization and prevent bottlenecks deteriorates
Solution Approach 1:
The patent implements predictive analytics that calculate future facility utilization levels before bottlenecks actually occur. The system uses statistical models to forecast patient flow, resource demand, and potential congestion points, allowing hospital personnel to take preliminary actions such as redistributing resources or adjusting schedules before problems arise, thus maintaining operational simplicity while improving productivity.
Solution Approach 2:
The patent establishes a feedback loop where predictive analytics continuously monitor current facility utilization, compare it against historical patterns and forecasts, and provide real-time recommendations. This feedback mechanism enables personnel to make informed adjustments to operational procedures, improving facility utilization efficiency while keeping the system easy to operate through automated insights.
3Stability of the object's composition
If traditional data display methods are used without visual attribute adjustments, then the display format remains consistent, but the ability to highlight critical differences and trends deteriorates
Solution Approach 1:
The patent dynamically adjusts visual attributes of displayed data including color coding to indicate the significance of differences between current, historical, and predictive utilization levels. Critical thresholds and anomalies are highlighted through color changes, while stable data maintains consistent formatting, thus preserving display consistency while enhancing the precision of data insights.
Solution Approach 2:
The patent changes visual display parameters such as font size, color intensity, and graphical emphasis based on the statistical significance of data variations. When predictive analytics identify meaningful deviations from normal utilization patterns, the system automatically adjusts display parameters to draw attention to these critical insights, maintaining consistency for routine data while enhancing precision for significant findings.
Data Source
AI summary
One embodiment provides a method for generating a predictive display on a graphical user interface. The method includes benchmarking performance of a hospital by evaluating metrics of departments within the hospital. The method includes obtaining current facility utilization information for each of the departments within the hospital. The method includes displaying, on a user interface, a graphical display of the current facility utilization information for each of the departments. The method includes receiving a user selection of a second time that is a future time relative to the current time. The method includes calculating at least one predictive utilization level of the departments at the second time. The method includes calculating a difference between the predictive utilization level and the current utilization level. The method includes adjusting the at least one visual attribute of the graphical representation according to the calculated difference. Other aspects are described and claimed.