Unified Healthcare Practice Management System
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Solution Overview
Problem
The healthcare industry faces challenges with inefficient data management and automation, particularly in small and large healthcare practices, where separate systems for patient interactions, scheduling, and billing lead to errors and inefficiencies, lacking an integrated, user-friendly computerized solution.
Innovation Solution
A healthcare practice management system is provided, featuring applications on client devices that unify and translate disparate data from various storage systems, ensuring data privacy, and enabling scheduling, record management, and billing automation, allowing healthcare practitioners to view and manage patient information, schedules, and prescriptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate data management systems are used for patient interactions, scheduling, and billing, then each system can be specialized for its specific function, but the overall system complexity increases and data integration becomes difficult
Solution Approach 1:
The patent combines multiple separate data management systems (patient interactions, scheduling, billing) into a single integrated electronic health record system. This integration allows all functions to operate within one unified platform, reducing the complexity of managing multiple separate systems while maintaining the specialized capabilities of each function through modular design within the integrated system.
2Productivity
If multiple separate systems are used for healthcare management, then each system can be optimized for its specific task, but errors and inefficiencies increase due to lack of integration
Solution Approach 1:
The electronic health record system is designed as a universal platform that performs multiple functions including patient interactions, scheduling, billing, and record-keeping. This multi-functional approach allows the system to maintain task-specific optimization while ensuring data consistency across all functions through a centralized database and unified interface, eliminating the errors and inefficiencies associated with multiple separate systems.
3Ease of manufacture
If separate systems store and manage patient data, then data can be organized by function, but access efficiency decreases and user-friendliness is reduced
Solution Approach 1:
The patent merges data from multiple functional systems into a single integrated electronic health record. This integration maintains organized data structures while dramatically improving access efficiency, as all patient information regardless of its original functional category can be accessed through a single unified interface. This eliminates the need for users to navigate multiple separate systems to gather complete patient information.
4Device complexity
If manual record-keeping and scheduling methods are used, then implementation is simple, but productivity and efficiency of healthcare practices decrease
Solution Approach 1:
The patent replaces manual mechanical methods of record-keeping and scheduling with an automated electronic system. This substitution introduces computational automation for scheduling appointments, managing patient records, and processing billing information, thereby significantly improving productivity and efficiency while maintaining ease of use through an intuitive graphical interface that requires minimal training.
Data Source
AI summary
A system to manage records in a healthcare practice includes a server and a memory that stores patient data records and inventory equipment records. A check-in client computing device and first and second HCP client computing devices run apps that program respective devices to check-in patients for appointments, retrieve, and store patient healthcare data at the server. Display screens show approved appointments and the apps sort appointments as selected. The patient check-in app verifies that patients meet check-in requirements and locks the appointments of patients who do not. Apps retrieve patient data for the approved appointments and sort them. The server stores examination, treatment, and prescription data. Equipment inventory delivery data and returns data are stored. The server is programmed to communicate with all apps in their form and format of data and to translate all disparate data types into that form and format.