CNA-Guided Care System for Reducing Healthcare Costs
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Solution Overview
Problem
Current healthcare systems face challenges in managing chronic diseases like cancer, leading to unsustainable medical costs due to unnecessary or inappropriate care, with conventional techniques being ineffective in controlling costs and improving clinical outcomes.
Innovation Solution
The implementation of a Clinical Outcome Tracking and Analysis (COTA) module that uses Clinical Outcome Tracking and Analysis Nodal Addresses (CNAs) to sort and analyze patient data, enabling personalized care plans, reducing biological variance, and optimizing treatment decisions through real-time monitoring and prediction of treatment variance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional techniques (clinical pathways, disease management) are used to control costs, then cost control is attempted, but they are ineffective and do not improve clinical outcomes
Solution Approach 1:
The system implements continuous feedback loops where patient outcomes are tracked and analyzed, and this information is fed back into the care delivery system. The COTA module monitors actual patient outcomes against predicted outcomes and adjusts care plans accordingly, creating a closed-loop system that learns from real-world data to improve both cost efficiency and clinical effectiveness
Solution Approach 2:
The patent replaces conventional mechanical/administrative cost control mechanisms (clinical pathways, prior authorization) with a data-driven predictive analytics system. The COTA module uses machine learning models and real-time data analysis to predict patient outcomes and optimize care, substituting rigid administrative rules with flexible, evidence-based predictive insights
2Loss of energy
If prior authorization infrastructure is used to determine covered benefits, then cost control is achieved, but it takes too much time and delays necessary care
Solution Approach 1:
The system performs preliminary actions by pre-calculating and predicting optimal care plans before they are needed. The COTA module analyzes patient data in advance and generates predicted outcomes and care recommendations that can be immediately implemented, eliminating the need for time-consuming prior authorization reviews while maintaining cost control
Solution Approach 2:
The patent replaces the mechanical prior authorization process with an automated predictive analytics system. Instead of manual review and approval processes, the COTA module uses data models to automatically determine optimal care pathways, eliminating bureaucratic delays while maintaining cost-effectiveness
3Reliability
If medical professionals try to keep up with advancements in science and medicine, then treatment quality improves, but it becomes difficult and time-consuming
Solution Approach 1:
The system provides continuous feedback to medical professionals about the latest evidence and predicted outcomes. The COTA module delivers personalized learning resources, outcome predictions, and care recommendations directly to providers, making it easier to stay current with advancements without increasing their cognitive burden
Solution Approach 2:
The COTA module acts as an intermediary between complex medical literature and clinical practice. It processes and translates vast amounts of scientific advancements into actionable, personalized care recommendations, shielding providers from the complexity of keeping up with all the latest research while maintaining high treatment quality
Data Source
AI summary
CNA-guided care, which can improve clinical outcomes at a specific patient level and decrease total cost of care at the population level, has two faces. The first face, the enabling tool, allows a payer to transmit information identifying a health care service under consideration for a patient with a health condition whose health plan benefits cover the service and other payer-selected variables. In response, the payer receives information sufficient to establish that the medical service is an appropriate delivery or level of service allowing the payer to approve payment to a medical care provider for the service. The second face provides for communications that provide information sufficient for a complete medical evaluation and for assigning a CNA to the patient. The patient then can use the assigned CNA to select an optimal care plan and a medical professional based on patient-set criteria within the CNA.