Varun Ramamohan

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Clinical laboratory measurement processes inform every stage of the medical decision-making process, and measurement of the activity levels of enzymes such as alkaline phosphatase, alanine aminotransferase, etc. provide vital information regarding various body functions such as the liver and gastrointestinal tract. The uncertainty associated with the result(More)
BACKGROUND A statement of measurement uncertainty describes the quality of a clinical assay analysis result, and uncertainty models of clinical assays can be used to evaluate and optimize laboratory protocols designed to minimize the measurement uncertainty associated with an assay. In this study, we propose a methodology to lend systematic structure to the(More)
Results of clinical laboratory tests inform every stage of the medical decision-making process, and measurement of enzymes such as alanine aminotransferase provide vital information regarding the function of organ systems such as the liver and gastrointestinal tract. Estimates of measurement uncertainty quantify the quality of the measurement process, and(More)
BACKGROUND Laboratory protocols used to calibrate commercial clinical chemistry systems affect test result quality. Mathematical models of system uncertainty can be developed using performance parameters provided by the manufacturer for various subsystems. These models can be used to evaluate protocols for specific laboratory operations. METHODS A(More)
Clinical laboratory measurements are vital to the medical decision-making process, and specifically, measurement of rheumatoid factor antibodies is part of the disease criteria for various autoimmune conditions. Uncertainty estimates describe the quality of the measurement process, and uncertainty in calibration of the instrument used in the measurement can(More)
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