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Emerging Nurse Billing and Reimbursement Models.
John M Welton1, Robert Longyear
1Author Affiliations: Professor Emeritus (Dr Welton), University of Colorado College of Nursing, Aurora; and Executive Board Member (Mr Longyear and Dr Welton), Commission for Nurse Reimbursement, New York.
Direct billing for nursing care is feasible in the US. New models can identify patient-level nursing costs and interventions, moving care from room charges to specific services.
Area of Science:
- Healthcare Economics
- Nursing Administration
- Health Services Research
Background:
- Nurses are the largest healthcare professional group, accounting for a significant portion of hospital costs.
- Current nursing care costs are largely obscured within daily room and board charges.
- Lack of direct billing for nursing services hinders accurate cost allocation and reimbursement.
Purpose of the Study:
- To explore and recommend direct billing and reimbursement models for nursing care in the US.
- To develop methods for identifying and costing nursing services.
- To facilitate financial recognition of nursing contributions.
Main Methods:
- Literature review of historical and recent costing and billing practices for nursing care.
- Synthesis of findings to propose new billing and reimbursement models.
- Analysis of feasibility for implementation across healthcare settings.
Main Results:
- Two primary billing models are proposed: 1) Allocating nursing time per patient daily, separate from facility charges. 2) Expanding Current Procedural Terminology (CPT) codes for specific nursing activities and interventions.
- These models enable the identification of patient-level nursing intensity and services provided.
- The proposed methods are applicable across all settings where nursing care is delivered.
Conclusions:
- Implementing direct billing for nursing care is feasible in the United States.
- The proposed models allow for accurate identification of nursing intensity, costs, and interventions.
- This shift can lead to better financial recognition and resource allocation for nursing services.
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