Dynamic Medical Forms for Cloud EHR Systems
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Solution Overview
Problem
Current electronic health record (EHR) systems are often large, expensive, and inflexible, making them unsuitable for small medical practices, which also face challenges in meeting government mandates for electronic health records without cost-effective and scalable solutions.
Innovation Solution
A cloud-based EHR system with software-as-a-service (SaaS) infrastructure that allows for easy use on mobile and tablet devices, providing customizable forms, secure data storage, and collaboration features to support small medical practices in meeting regulatory requirements while being cost-effective and scalable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large fully integrated EHR systems are used, then reliability and functionality are improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent divides the EHR system into separate functional modules including patient scheduling, electronic health records, billing, and clinical decision support. Each module operates independently but communicates through standardized interfaces, allowing small practices to implement only needed functions and reducing overall system complexity while maintaining reliability.
Solution Approach 2:
The system employs a unified data model and common infrastructure that supports multiple functions across different modules. A single EHR platform provides scheduling, medical records, billing, and clinical tools through shared databases and standardized protocols, reducing complexity compared to separate specialized systems.
2Reliability
If large integrated EHR systems are deployed, then functionality and reliability are improved, but ease of operation and flexibility decrease
Solution Approach 1:
By segmenting the system into discrete functional modules, each module can be optimized for its specific task with a simplified user interface. Users interact with focused, task-specific screens rather than navigating a complex monolithic system, improving ease of operation while maintaining comprehensive functionality through module integration.
Solution Approach 2:
The system allows dynamic configuration of workflows and interfaces based on practice needs. Users can customize forms, reports, and process flows without requiring system reconfiguration, enabling the system to adapt to different operational requirements while maintaining a consistent underlying architecture for reliability.
3Adaptability or versatility
If customized EHR systems are developed, then adaptability and flexibility are improved, but device complexity and development cost increase
Solution Approach 1:
The patent implements a universal data model and standardized communication protocols that work across all modules and customization scenarios. This common infrastructure supports flexible configurations and custom workflows without requiring separate complex systems for each customization, reducing overall complexity while maintaining adaptability.
Solution Approach 2:
The system provides dynamic configurability through customizable forms, workflows, and interfaces that can be modified without changing the underlying system architecture. Practices can adapt the system to their specific needs by configuring existing modular components rather than developing custom code, maintaining flexibility while avoiding the complexity of fully customized solutions.
4Productivity
If comprehensive EHR functionality is implemented, then reliability and productivity are improved, but ease of manufacture and deployment difficulty increase
Solution Approach 1:
The system is deployed as separate functional modules that can be implemented incrementally. Small practices can start with core functions like scheduling and basic EHR, then add advanced features like clinical decision support or billing modules as needed, reducing initial deployment complexity while achieving comprehensive functionality over time.
Solution Approach 2:
A unified platform architecture provides comprehensive functionality through shared infrastructure and standardized interfaces. The same core system supports multiple functions including patient management, clinical workflows, and billing, eliminating the need to deploy separate specialized systems and simplifying implementation while maintaining productivity-enhancing features.
Data Source
AI summary
A computer-implemented method and apparatus for development and use of a medical form. One example system receives a request on a first computer to create the medical form. The medical form includes user selected fields corresponding to patient information. The system further receives signals on the first computer, where the signals describe form fields for the medical form. The system communicates the medical form from the first computer to the first tablet device for display on the first tablet device. The system receives form values, wherein at least some of the form values correspond to information about an appointment. Responsive to receiving a completion signal, the system generates a clinical narrative for the appointment using the completed form values.