Integrated Practice Management Service for Secure Transactions
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Solution Overview
Problem
Healthcare providers face challenges in managing complex transactions, such as payments and loans, due to limitations in practice management software, which often require additional software integration and manual data entry, leading to inefficiencies and increased administrative burden.
Innovation Solution
An integrated service with a machine-learning algorithm is implemented within a practice management software, allowing for automated data retrieval from secured databases and streamlined transaction processing, including pre-population of user inquiries and secure data transmission between user devices and transaction managers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If practice management software is used to facilitate transactions, then administrative tasks can be organized, but the software is not conducive to managing complicated transactions and requires additional effort
Solution Approach 1:
The patent combines multiple previously separate systems (practice management software, payment processing, credit checks, loan management) into a single integrated platform. The host system provides unified access to all transaction types through one software interface, eliminating the need for multiple separate applications and reducing integration complexity.
Solution Approach 2:
The host system is designed to perform multiple functions within a single platform: it handles payments, credit checks, loan applications, and practice management tasks. This multi-functional approach allows the system to manage complicated transactions without requiring additional specialized software.
2Adaptability or versatility
If secondary software is added to manage complicated transactions, then transaction capability is improved, but manual data entry and coordination between software increase administrative burden
Solution Approach 1:
The system merges data storage and processing across all transaction types into a single database structure. Patient information, financial data, and transaction records are unified in one system, eliminating redundant data entry between separate software applications.
Solution Approach 2:
The host system performs preliminary data retrieval and validation automatically when a transaction is initiated. Patient information and account details are pre-fetched and prepared before the actual transaction processing, reducing the time needed for manual data entry and coordination.
3Productivity
If automated data retrieval is implemented, then processing time is reduced, but system integration complexity increases
Solution Approach 1:
The system implements self-service data retrieval where the host automatically queries and retrieves required information from integrated databases without manual intervention. The automated system performs its own data collection, validation, and preparation, reducing processing time while the unified architecture keeps integration complexity manageable.
Data Source
AI summary
Methods are described herein for facilitating one or more requests using an integrated service. In some examples, the method may include receiving a request to initiate a secured transaction associated with a patient account. The method may also include generating one or more inquiries pertaining to the secured transaction. The method may also include transmitting, a data request to a secured database for patient data associated with the secured transaction and the patient account. The method may also include receiving the patient data. The method may also include populating a portion of the one or more inquiries by generating a comparison of the one or more inquiries to the patient data and by identifying at least one matching inquiry based on the comparison. The method may also include facilitating presentation of the one or more inquiries on a user interface of a display device.