Patient Condition Matching for Faster Healthcare Referral Scheduling

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Solution Overview

Problem

Current systems for referring patients are inefficient and fail to select the appropriate treatment partner for the patient's current situation, leading to unnecessary delays and expenses.

Innovation Solution

A data management system and method that utilizes patient sensors to gather medical data, applies algorithms to determine treatment requirements, and matches patients with suitable healthcare providers based on medical parameters, treatment urgency, provider metadata, and economic criteria, enabling quick and efficient assignment to treatment providers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual patient referral systems are used, then healthcare providers can be assigned to patients, but the process is inefficient and lengthy with unnecessary delays

Engineering Contradiction:
Improvereferral process efficiencyVSAvoidpatient referral delay
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical referral processes with an automated computer-based system that uses algorithms to match patients with healthcare providers. The system automatically processes patient data, evaluates medical parameters, and assigns providers without manual intervention, eliminating delays associated with manual paperwork and communication.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the automated algorithm to independently perform the entire referral process. The computer system autonomously evaluates patient conditions, selects appropriate providers based on predefined criteria, and executes assignments without requiring manual review or approval at each step, significantly accelerating the process.

Inventive Principle:
Principle #25Self-service

2Reliability

If manual patient referral systems are used, then healthcare providers can be assigned to patients, but the appropriate treatment partner is not selected for the patient's current situation

Engineering Contradiction:
Improvetreatment matching accuracyVSAvoidreferral system complexity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system improves matching accuracy by evaluating multiple medical parameters simultaneously (vital signs, lab results, patient history) and using algorithmic logic to weight and combine these parameters. This multi-parameter evaluation ensures that the selected healthcare provider is specifically matched to the patient's current clinical situation rather than using simple manual assignment criteria.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The automated system provides a universal matching framework that can handle diverse patient conditions and provider specialties through a single integrated algorithm. The system universally applies the same rigorous matching criteria across all referrals, ensuring consistent accuracy regardless of the specific patient or provider involved, while eliminating the need for multiple separate manual processes.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If automated algorithms are used to match patients with providers, then matching accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvecondition-provider matching precisionVSAvoiddata management system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system manages complexity through segmentation by dividing the matching process into distinct modular components: data collection modules that gather patient information, evaluation modules that assess medical parameters, matching algorithms that compare patients with providers, and assignment modules that execute referrals. Each module handles a specific function, making the overall complex system manageable and maintainable while preserving high matching precision.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20260066067A1System and method for matching a patient medical condition with a health care provider
Publication Date: 2026.03.05 BIOTRONIK SE & CO KG
  • US20260066067A1 patent drawing
  • US20260066067A1 patent drawing

AI summary

A data management system for matching a patient medical condition with a corresponding health care provider, including a computing device configured to apply an algorithm to the patient medical data to determine if the patient medical condition requires treatment, wherein if treatment of the patient medical condition is determined to be required, the algorithm is configured to match the patient medical condition with the corresponding health care provider according to the determined patient medical condition, and wherein the computing device is configured to identify and schedule a sequence of necessary medical treatments. A computer-implemented method for matching a patient medical condition with a corresponding health care provider is also provided.