An Automated Clinical Laboratory Decision Support System for Test Utilization, Medical Necessity Verification, and...

Area of Science:

• Clinical Pathology
• Health Informatics
• Medical Decision Making

Background:

• Laboratory testing is crucial, providing 70-85% of objective data for diagnosis and treatment.
• The US sees 4-5 billion laboratory tests ordered annually, with significant over- and underutilization.
• Current ordering processes lack user-friendly tools, leading to inefficiencies and financial burdens.

Purpose of the Study:

• To highlight the need for improved resources to guide physicians in selecting and interpreting diagnostic laboratory tests.
• To address the quality gap in current clinical laboratory test ordering procedures.
• To propose an automated laboratory clinical decision support system (CDSS) as a solution.

Main Methods:

• This viewpoint discusses the potential application of an automated CDSS.
• It emphasizes the need for evidence-based guidelines and algorithms within such a system.
• The focus is on improving the selection and justification of laboratory tests.

Main Results:

• Inappropriate test ordering leads to diagnostic delays, incorrect diagnoses, and financial strain.
• Lack of medical necessity documentation results in non-reimbursement by payers like Medicare.
• An automated CDSS can help ensure tests are not duplicated, overused, or underused.

Conclusions:

• An automated laboratory CDSS can enhance healthcare system efficiency.
• It supports providers in ordering the right test for the right disease.
• This system aids in documenting medical necessity for accurate reimbursement and improved patient outcomes.