Laboratory Demand Management Strategies—An Overview
Cornelia Mrazek, Elisabeth Haschke‐Becher, Thomas K. Felder, Martin H. Keppel, Hannes Oberkofler, Janne Cadamuro
Abstract
Inappropriate laboratory test selection in the form of overutilization as well as underutilization frequently occurs despite available guidelines. There is broad approval among laboratory specialists as well as clinicians that demand management strategies are useful tools to avoid this issue. Most of these tools are based on automated algorithms or other types of machine learning. This review summarizes the available demand management strategies that may be adopted to local settings. We believe that artificial intelligence may help to further improve these available tools.
Topics & Concepts
Computer scienceOn demandSelection (genetic algorithm)Demand managementTest (biology)Risk analysis (engineering)Management scienceData scienceArtificial intelligenceEngineeringMedicineMultimediaMacroeconomicsPaleontologyEconomicsBiologyClinical Laboratory Practices and Quality ControlMeta-analysis and systematic reviewsStatistical Methods in Clinical Trials