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Implementing abuse and fraud detection in DRG-based payment: an integrated approach using analytics, patient-level costing, and evidence-based practice

1. Introduction Major Diagnostic Categories (MDCs) and Diagnosis-Related Groups (DRGs) underpin prospective (case-based) payment by assigning inpatient stays to clinically coherent groups and paying a predetermined amount based largely on a relative weight (resource intensity) multiplied by a standardized/base rate, with further policy adjustments (e.g., wage index, teaching, disproportionate share, outliers). Under Medicare’s Inpatient Prospective Payment System (IPPS), for example, the Office of Inspector General (OIG) describes the operational payment logic as “DRG weight × standardized amount,” with additional adjustments layered onto the base payment. Prospective payment improves cost discipline, but it also creates predictable gaming surfaces: when revenue depends on coded diagnoses/procedures and discharge status, some actors can increase payment by manipulating codes, fragmenting bills, or selecting “profitable” patients (cherry picking/lmeon dropping). The OIG’s hospital comp...
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Implementing patient-based costing to derive robust DRG weights for national reimbursement and hospital pathway management

Introduction Diagnosis-Related Group (DRG) payment systems depend on relative weights that approximate the average resource intensity of clinically coherent inpatient groups. When weights are weak - because costing is inconsistent, feeds are incomplete, or coding is unreliable - national tariffs can misprice care, destabilize provider incentives, and reduce confidence in performance analytics. In this essay I try to  synthesize established approaches to patient-level costing (PLICS/ABC/TDABC) and DRG tariff setting, drawing on documented national programs (e.g., England’s National Cost Collection, Australia’s AHPCS/NEP process, and Germany’s InEK cost accounting scheme), and propose an implementable framework to (1) produce reliable national reimbursement weights, (2) embed auditability via a practical controls checklist (General Ledger (GL)  reconciliation, feed completeness, allocation governance, coding QA/QC), and (3) operationalize patient-level costs for internal hospita...
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Designing a DRG-based hospital reimbursement for efficiency, effectiveness, and high quality

Introduction Diagnosis Related Groups (DRGs) are a case-based hospital payment mechanism that converts coded clinical and administrative data into clinically meaningful, resource-relevant groups to determine prospective reimbursement. A well-functioning DRG system must simultaneously (i) classify patients fairly (clinical coherence and resource homogeneity), (ii) price cases credibly (cost accounting and weight setting), (iii) control incentives that can degrade quality or induce volume inflation, and (iv) assure data integrity through governance, auditing, and quality measurement. International experience - including long-standing US Medicare prospective payment - shows that DRGs can improve transparency and managerial efficiency but also create incentives for shorter stays, coding inflation (“upcoding”), and strategic behavior unless counterbalanced by strong expenditure controls, quality monitoring, and anti-fraud capacity. 1. Conceptual foundations DRG systems were developed to def...
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