Healthcare Management Platform for Transparent Pricing and Record Access
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Solution Overview
Problem
Navigating healthcare pricing, insurance coverage, scheduling appointments, and accessing personal health history is complex and opaque, leading to confusion, inflated costs, and barriers for patients, particularly the uninsured, who face exorbitant bills and difficulty in obtaining medical records.
Innovation Solution
A comprehensive healthcare management system that provides transparent pricing, integrates telemedicine, facilitates appointment scheduling, allows access to medical records, and incorporates blockchain for secure data sharing, while ensuring interoperability with existing healthcare IT infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional healthcare pricing and record access systems are used, then providers maintain control over information, but patients face opaque pricing and barriers to accessing their own medical records
Solution Approach 1:
The system enables patients to autonomously access their own medical records, pricing information, and insurance details through a patient portal without requiring provider intervention. Patients can view, download, and share their health information directly, eliminating the need to fill out lengthy forms or wait for provider approval.
Solution Approach 2:
The patent introduces a digital intermediary platform that sits between patients and healthcare providers, facilitating transparent information exchange. This intermediary system automatically retrieves records from multiple providers, standardizes formatting, and presents information in an accessible manner, reducing the operational complexity for patients.
2Loss of information
If centralized healthcare information systems are implemented, then pricing transparency improves, but system complexity and data security requirements increase
Solution Approach 1:
The system segments healthcare information into distinct modules: pricing data, medical records, insurance information, and provider details. Each segment is managed separately with appropriate access controls and display formats, reducing overall system complexity while improving transparency.
Solution Approach 2:
The patent creates a universal platform that handles multiple functions: displaying pricing, accessing records, verifying insurance, and facilitating provider communication. This multi-functional system reduces the need for separate specialized systems, managing complexity through consolidation rather than multiplication.
3Loss of time
If manual processes for obtaining medical records are used, then data privacy is maintained through controlled access, but patients face lengthy wait times and administrative barriers
Solution Approach 1:
The system performs preliminary actions by automatically retrieving and storing patient records in advance of when patients need them. Records are proactively pulled from provider systems and made available in the patient portal before requested, eliminating wait times while maintaining security through controlled access protocols.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors access requests, authorization status, and record availability. This real-time feedback enables automatic approval or rejection of access requests based on pre-set criteria, reducing manual intervention while maintaining security through automated verification.
Data Source
AI summary
A healthcare shopping and management system is disclosed herein which assists users in searching for medical providers based on insurer-negotiated pricing, directly scheduling appointments, making payments, aggregating personal health records, and utilizing analytics to suggest preventative health screenings. The system architecture includes interfaces for searching, scheduling, paying, health records access, geolocation of providers, cost ratings, and an analytics engine leveraging clinical guidelines. Database schema and data models as well as example user interfaces are also disclosed.