Diagnosis-Driven Electronic Charting Interface
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Solution Overview
Problem
Healthcare professionals face inefficiencies and errors in recording patient information due to time-consuming traditional paper charting methods and electronic systems that mimic paper templates, leading to operator fatigue and increased costs.
Innovation Solution
A simplified, contextual graphical user interface for healthcare providers that allows for quick data entry by selecting icons representing diagnoses and associated parameters, automatically generating electronic health records through a diagnosis-driven approach, minimizing mouse clicks and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional paper charting methods are used, then completeness of patient records can be achieved, but time consumption and operator fatigue increase significantly
Solution Approach 1:
The patent inverts the traditional charting workflow by starting with the diagnosis rather than the physical exam findings. The system presents a list of potential diagnoses to the provider, who selects the most likely one first. The system then automatically populates the chart with relevant physical exam findings, lab tests, and treatment options associated with that diagnosis. This reversal reduces time consumption while maintaining record completeness by leveraging the diagnostic reasoning process that providers already follow mentally.
Solution Approach 2:
The system performs preliminary actions by pre-organizing all possible diagnoses with their associated findings, tests, and treatments in a database before the provider sees the patient. When a diagnosis is selected, the system has already prepared the relevant charting templates and data structures, eliminating the need for providers to manually search for or organize this information during the charting process.
2Productivity
If electronic medical record systems with templates are used, then recordkeeping efficiency is improved, but operator fatigue increases due to numerous mouse clicks and selections
Solution Approach 1:
The system enables self-service by allowing providers to simply point and click on the diagnosis from a presented list, rather than requiring them to navigate through multiple template menus and selection boxes. The system then automatically generates the appropriate chart entries based on the selected diagnosis, making the system work for the provider rather than requiring the provider to work the system through numerous clicks.
Solution Approach 2:
The patent extracts the essential diagnostic decision-making element (selecting the diagnosis) from the complex charting process. By separating the diagnosis selection from the detailed charting of findings and treatments, the system reduces the interaction to a single critical decision point, while automatically handling the routine documentation of associated parameters.
3Object-affected harmful factors
If paper recordkeeping is used, then accessibility and storage issues are avoided, but legibility, completeness, and safety safeguards are compromised
Solution Approach 1:
The system replaces the mechanical paper-based recordkeeping system with an electronic digital system. This substitution eliminates physical storage requirements, improves accessibility through electronic retrieval, and enhances legibility through standardized digital text display. The electronic system also provides built-in safety safeguards such as validation rules, mandatory fields, and audit trails that are not available in paper systems.
4Reliability
If traditional charting workflows are followed, then all necessary patient information can be captured, but errors increase due to manual transcription and multiple processing steps
Solution Approach 1:
The system merges the diagnosis selection with the charting process itself. When a provider selects a diagnosis from the presented list, the system simultaneously creates the chart entry, populates associated findings, and links relevant treatments. This merging eliminates separate transcription steps and reduces the number of times information must be manually entered and transferred between different charting sections, thereby reducing errors while maintaining completeness.
Data Source
AI summary
A computer-implemented method for producing healthcare data records from graphical inputs by computer users includes receiving, on a graphical user interface of a computer system, a user identification of a diagnosis for a patient, the user identification produced by user selection on the graphical user interface; identifying one or more parameters that characterize the diagnosis; displaying on the graphical user interface a plurality of selectable values for particular ones of identified parameters; receiving sequential user selections representations of particulars ones of the values; and generating an electronic medical record representation that represents the identified diagnosis having the selected values for the one or more parameters.