Patient Communication System Using Clinical Guidelines
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional patient communication systems are limited by high healthcare costs, consultant availability, and a lack of preemptive healthcare approaches, with recent advancements in electronic health records not fully addressing these challenges.
Innovation Solution
An evidence-based, clinical practice guideline-driven patient communication system that includes a patient information collection system, a database, a patient clinical injury recovery plan generator, a population targeting system, and a risk classifier system, which uses input from patients to generate personalized recovery plans and identify targeted prevention strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional patient communication systems are used, then basic patient information collection is possible, but healthcare costs are high and consultant availability is limited
Solution Approach 1:
The system enables patients to self-assess their conditions through standardized questionnaires and symptom checklists, automatically generating recovery plans without requiring consultant intervention. This self-service approach reduces dependency on expensive consultant time while maintaining care quality through evidence-based algorithms.
Solution Approach 2:
The patent replaces the mechanical system of manual clinician assessment with an automated computational system that processes patient inputs through algorithmic decision trees and generates personalized recovery plans. This substitution eliminates the need for expensive human consultation while providing consistent, reproducible assessments.
2Reliability
If conventional systems are used, then basic information collection occurs, but preemptive healthcare approaches are lacking
Solution Approach 1:
The system performs preliminary assessment and recovery plan generation before conditions deteriorate. By using proactive symptom checking and risk assessment algorithms, the system identifies issues early and generates preventive recovery plans, eliminating the need for reactive treatment and reducing overall healthcare time.
Solution Approach 2:
The system incorporates continuous feedback loops where patients report progress on recovery plans, and the system automatically adjusts recommendations based on reported outcomes. This feedback mechanism ensures proactive adaptation to patient conditions, improving preventative care quality while reducing the time needed for ongoing management.
3Loss of information
If electronic health records are adopted, then digital healthcare data availability increases, but the system complexity increases
Solution Approach 1:
The system extracts only the essential information needed for assessment and recovery planning from the complex electronic health record ecosystem. By focusing on specific standardized data points and using targeted data collection questionnaires, the system avoids the complexity of processing entire electronic health records while still accessing necessary patient information.
Solution Approach 2:
The patent segments the healthcare information processing into distinct modular components: patient input collection, algorithmic assessment, recovery plan generation, and progress tracking. This segmentation simplifies the overall system architecture by dividing complex data processing into manageable, independent modules that can be implemented progressively.
Data Source
AI summary
The techniques described herein may provide for an evidence-based, clinical practice guideline-driven, patient communication system. A user (e.g., a patient, a client, etc.) may interact with, or use, a patient communication system for improved healthcare according to one or more aspects. The patient communication system may credibly categorize user inputs into injury patterns (e.g., correlated to healthcare industry established clinical practice guidelines). For instance, an evidence-based, clinical practice guideline-driven, patient communication system may utilize a library of extensive and credible healthcare information (e.g., reviewed by a credible body established by the healthcare industry). Such information may include physical therapy videos, recovery strategies, workplace group or client-group healthcare information, etc. The patient communication system may generate (e.g., based on user input and decision-making trees) patient diagnosis, injury recovery plans, wellness plans, healthcare information reports (e.g., for healthcare clinicians, insurance companies, employers, etc.), and preventative healthcare plans, among other examples.