Medical Data System for Accurate Remote Patient Intake
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Solution Overview
Problem
The shift towards urgent care facilities due to scheduling challenges with primary doctors leads to incomplete medical records and inefficient patient intake, triage, diagnosis, and billing, while telemedicine lacks sufficient patient-physician interaction for accurate diagnosis.
Innovation Solution
A medical data system and method that automates treatment instructions using a diagnostic system with patient interface and doctor interface stations, medical instrument equipment, and AI-driven algorithms for reliable remote or local patient intake, triage, diagnosis, and billing, ensuring accurate data entry and efficient patient management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If patients visit urgent care facilities for readily available treatment, then access to healthcare is improved, but medical record completeness deteriorates
Solution Approach 1:
The system creates a universal medical record infrastructure that serves both urgent care facilities and primary care providers. The standardized electronic medical record format and centralized storage enable any treating physician to access complete patient history, making the system universally applicable across different healthcare settings and eliminating the information loss that occurs when patients switch providers.
Solution Approach 2:
The patent introduces an intermediary electronic health record system that mediates between patients and multiple healthcare providers. This intermediary maintains a centralized, comprehensive medical record that can be accessed by any treating physician, thereby preserving medical record completeness even when patients frequently change providers or seek care at urgent care facilities.
2Reliability
If patients complete lengthy questionnaires at urgent care facilities, then intake information is gathered, but patient time and efficiency are reduced
Solution Approach 1:
The system performs preliminary action by automatically gathering patient intake information from multiple sources before the patient arrives at the urgent care facility. Electronic questionnaires are pre-filled with data from previous medical records, insurance information, and demographic databases, so patients only need to verify and update information rather than completing lengthy forms from scratch.
Solution Approach 2:
The patent implements self-service by enabling patients to complete and update their own medical questionnaires online before their appointment. The system automatically retrieves available information from existing records and allows patients to make corrections or additions at their convenience, eliminating the need for time-consuming in-person questionnaire completion while maintaining information accuracy.
3Adaptability or versatility
If telemedicine is used to increase healthcare access, then healthcare availability is improved, but diagnostic accuracy deteriorates
Solution Approach 1:
The system merges telemedicine with in-person clinical evaluation by integrating remote consultation capabilities with physical examination tools. The electronic medical record system combines data from telemedicine interactions, patient-reported symptoms, and in-clinic measurements into a unified diagnostic framework, allowing providers to leverage both remote accessibility and hands-on assessment for improved diagnostic accuracy.
Solution Approach 2:
The patent introduces an intermediary AI-driven diagnostic support system that mediates between telemedicine limitations and diagnostic accuracy requirements. The system analyzes patient data, medical history, and symptom patterns to generate diagnostic recommendations and identify cases requiring in-person evaluation, thereby compensating for the lack of physical examination in remote consultations.
4Ease of operation
If primary doctors are replaced by urgent care facilities, then appointment scheduling is simplified, but doctor-patient relationship quality deteriorates
Solution Approach 1:
The system creates a universal care coordination framework that enables urgent care facilities to function as effective extensions of primary care practices. The shared electronic medical record system and standardized care protocols allow any treating provider to deliver consistent, high-quality care regardless of setting, maintaining relationship quality while preserving scheduling flexibility.
Solution Approach 2:
The patent implements feedback mechanisms that maintain doctor-patient relationship quality across different care settings. The system tracks patient outcomes, treatment responses, and satisfaction metrics, providing continuous feedback to both primary care providers and urgent care facilities. This enables coordinated care planning and ensures that patients receive consistent attention and follow-up regardless of where they receive treatment.
Data Source
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AI summary
Presented are systems and methods for providing doctors and patients with treatment information based on computer-aided diagnoses that has been generated using patient input, electronic health care record information, and medical instrument input data. The treatment and/or diagnostic information may be shared with health care professionals and specialists, as needed.