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Impact of laboratory testing on DRG coding and reimbursement--results of a data base research
Georg E Hoffman1, Michael Schenker, Michael H Wilke
1University of Muenchen, Trillium GmbH, Grafrath, Germany. ghoffmann@trillium.de
Insights
This study analyzed 7 million Australian clinical cases to identify complications impacting Diagnosis-Related Group (DRG) reimbursement. Documenting specific complications shifted 123 DRGs to higher severity levels, aiding laboratory diagnostic pathway development.
Area of Science:
- Health Informatics
- Clinical Laboratory Science
- Healthcare Economics
Background:
- Diagnosis-Related Groups (DRGs) are crucial for healthcare reimbursement.
- Comorbidities and complications significantly influence DRG assignment and reimbursement levels.
- Accurate documentation of patient conditions is essential for fair DRG-based payments.
Purpose of the Study:
- To identify specific comorbidities and complications that impact DRG reimbursement in Australia.
- To quantify the effect of documenting complications on DRG severity levels.
- To develop a tool for laboratories to create diagnostic pathways for identified complications.
Main Methods:
- Analysis of a large Australian clinical database (approximately 7 million cases).
- Identification of comorbidities verifiable by laboratory testing.
- Correlation of documented complications with changes in DRG reimbursement levels.
Main Results:
- 123 Diagnosis-Related Groups (DRGs) were identified as shifting to a higher severity level.
- This shift was associated with the documentation of at least one of 157 specific complications.
- Over 4,000 combinations of complications and DRGs were analyzed.
Conclusions:
- Laboratory-testable comorbidities and complications significantly affect DRG reimbursement.
- A computer program was developed to visualize these complex combinations.
- This tool empowers laboratories to create tailored diagnostic pathways for improved documentation and reimbursement accuracy.
Abstract:
We filed an Australian data base with about 7 million well-documented clinical cases for comorbidities, which can be proven, supported or excluded by laboratory testing and which have an impact on DRG reimbursement. The result was a list of 123 DRGs being shifted to a higher severity level by documenting one out of 157 complications. For better visualization of the more than 4,000 combinations, we developed a computer program, which allows the laboratory to develop its own diagnostic pathways for these complications in a simple Excel format.