Risk-Adjusted Reimbursement System for Healthcare
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Solution Overview
Problem
Current healthcare reimbursement models, such as fee-for-service, often incentivize providers to offer unnecessary services due to payment structures, leading to inefficiencies and increased costs, whereas value-based care models focus on quality but may not effectively prioritize patients at higher risk for adverse outcomes.
Innovation Solution
A risk-value healthcare delivery system that computes a patient's risk score based on health data, prioritizes higher-risk patients, and reimburses providers based on both the quality of care and patient outcomes, using a timer mechanism to ensure timely attention to high-risk patients and incentivizing providers to improve care quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If fee-for-service reimbursement model is used, then providers receive higher payment for more services, but this leads to redundancy and service inflation
Solution Approach 1:
The patent changes the reimbursement parameter from quantity-based to value-based by implementing a risk-adjusted capitation model. Providers receive a fixed per-patient payment adjusted for risk factors, replacing the fee-for-service quantity incentive structure. This parameter change eliminates the financial incentive for unnecessary services while maintaining adequate compensation for complex patient needs.
2Reliability
If value-based care model is used, then quality of care is prioritized, but patients at higher risk for adverse outcomes are not effectively prioritized
Solution Approach 1:
The patent segments the patient population into risk strata using risk adjustment factors based on demographics, comorbidities, and social determinants. This segmentation allows the system to identify and prioritize high-risk patients within the value-based care framework, allocating attention and resources proportionally to risk levels while maintaining overall quality standards.
Solution Approach 2:
The patent implements feedback mechanisms through quality metrics and performance measurements that track patient outcomes and provider performance. This feedback loop enables continuous monitoring of high-risk patient care quality and adjusts resource allocation and interventions based on measured outcomes, ensuring that prioritization efforts actually improve reliability.
3Productivity
If bundled payments are used, then providers assume risk and use efficient treatment ways, but this may reduce comprehensive care for complex patients
Solution Approach 1:
The patent changes the payment parameter from episode-based bundled payments to risk-adjusted capitation that continuously accounts for patient complexity. This parameter change maintains efficiency incentives while ensuring adequate resources for comprehensive care of complex patients through ongoing risk adjustment rather than fixed episode budgets.
Data Source
AI summary
The system determines reimbursements to healthcare providers that provide care based on a novel risk-value reimbursement model, wherein the care is based on a patient risk score and the quality of care delivered. The system and method may include the process of obtaining variables of patient health data for a patient; determining a rank order correlation of the variables with an adverse health outcome; determining a risk score for the patient; sorting patient panels based on the risk score for each patient in the patient panel; determining a lower amount of time on a timer for a chart for the patient, in response to the risk score for the patient being higher than other risk scores for other patients in the patient panel; and resetting the timer, in response to an action by a provider.