Related Experiment Videos
Linking analytic performance goals to medical outcome
1George Washington University, Medical Center, Washington, DC 20037, USA.
Summary
Laboratory error assessment requires tailoring analytic performance to specific medical decisions, not universal standards. Optimizing patient outcomes involves adapting medical strategy to lab capabilities or improving lab performance to meet clinical needs.
Area of Science:
- Clinical Chemistry
- Medical Decision Making
- Operations Research
Background:
- Assessing laboratory analytic error involves balancing subjective and objective criteria.
- Physiologic variability benchmarks may be overly stringent for clinical quality.
- Clinical decisions regarding disease severity and treatment are paramount.
Purpose of the Study:
- To determine appropriate analytic performance requirements for laboratory testing.
- To explore the relationship between analytic error tolerance and clinical decision-making.
- To develop a framework for tailoring analytic goals to specific medical problems.
Main Methods:
- Application of operations research principles.
- Development of concepts for setting analytic performance requirements.
- Illustration through three case examples.
Main Results:
- A universal model for analytic performance is not feasible.
- Tolerance limits for analytic error must be specific to medical contexts.
- The relationship between analytic performance and medical strategy is reciprocal.
Conclusions:
- Tailoring medical strategy to existing analytic performance can optimize outcomes.
- Adapting analytic performance to clinical needs is crucial for quality care.
- A flexible, problem-specific approach is necessary for managing analytic error.