Healthcare Workflow Statistical Model for EHR Integration
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Solution Overview
Problem
Conventional methods for managing a healthcare professional's work are inadequate, relying on appointment schedules that do not efficiently integrate with electronic health records (EHR), leading to fragmented information access and inefficient workflow.
Innovation Solution
A method that utilizes a statistical model to generate a workflow for a healthcare professional, incorporating healthcare data to create an ordered list of healthcare events, including tasks, alerts, and appointment requests, and provides a graphical user interface (GUI) to display this workflow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional appointment schedules are used to manage healthcare professional's work, then the system is simple to operate, but the workflow efficiency is low and information access is fragmented
Solution Approach 1:
The patent merges appointment schedules, electronic health records, and workflow management into a single integrated system. The statistical model receives healthcare data from multiple sources including EHR and appointment schedules, then generates a unified workflow that combines all these elements, eliminating the need for separate systems and improving overall workflow efficiency.
Solution Approach 2:
The statistical model serves multiple functions: it processes healthcare data, generates workflows, prioritizes tasks, and provides recommendations. This multi-functional approach replaces multiple separate tools with a single universal system that handles various aspects of healthcare professional's work, improving productivity while managing complexity through consolidation.
2Ease of operation
If multiple separate systems are used for appointment schedules and electronic health records, then information completeness is high, but information access efficiency is low
Solution Approach 1:
The system merges data from appointment schedules and electronic health records into a unified workflow generated by the statistical model. This integration ensures that all relevant information is consolidated in one place, improving access efficiency while maintaining information completeness through the comprehensive data ingestion process.
3Reliability
If tasks are not prioritized, then the workflow is simple to generate, but the quality of patient care is low
Solution Approach 1:
The statistical model changes the parameters of task prioritization by considering multiple factors such as time sensitivity, criticality, and clinical evidence. This multi-parameter approach improves patient care quality by ensuring critical tasks are addressed first, while the statistical nature of the model manages the complexity through algorithmic processing rather than manual intervention.
Data Source
AI summary
Provided are methods for generating a workflow of a healthcare professional and methods of generating graphical user interfaces (GUI) that display the workflow of the healthcare professional. A workflow of a healthcare professional may include an ordered list of healthcare events associated with the healthcare professional. Each healthcare event in the ordered list may request the attention of the healthcare professional or may provide an indication that the healthcare professional should complete some associated work. Healthcare events may include tasks for the healthcare professional, alerts such as new lab results for patients, scheduled appointments with patients, or appointment requests from patients. The workflow may provide a healthcare professional with, in one user interface all, substantially all, or a majority of the healthcare events that the healthcare professional should be aware to perform their job.