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Cost-Effective Flow Cytometry Testing Strategies
1Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, K4/434, 600 Highland Avenue, Madison, WI 53792, USA.
Clinics in Laboratory Medicine
|November 13, 2017
Summary
Developing focused flow cytometry (FC) panels and predictive algorithms can reduce testing costs. This approach ensures efficient diagnosis for common diseases and identifies rare cases needing further FC analysis.
Area of Science:
- Clinical diagnostics
- Immunology
- Biomedical engineering
Background:
- Flow cytometry (FC) is crucial for diagnosing many diseases.
- High costs associated with comprehensive FC testing limit accessibility.
- Need for cost-effective strategies in diagnostic FC.
Purpose of the Study:
- To outline strategies for cost-effective flow cytometry (FC).
- To describe the development of focused FC panels for common diagnoses.
- To present methods for identifying cases where limited FC testing is sufficient.
Main Methods:
- Designing focused FC panels with specific antibodies for common diseases.
- Implementing analysis strategies to identify rare diseases requiring additional testing.
- Utilizing algorithms to predict disease probability and guide limited FC use.
Main Results:
- Focused panels combined with predictive algorithms can streamline FC testing.
- Algorithms using accessible parameters effectively identify low-probability disease cases.
- Periodic review and updates of algorithms enhance efficiency and cost containment.
Conclusions:
- Cost-effective flow cytometry relies on targeted panels and intelligent testing strategies.
- Predictive algorithms are key to optimizing FC utilization and reducing healthcare expenses.
- This approach balances diagnostic accuracy with economic feasibility in clinical settings.
