Normalization of Reference Ranges for Laboratory Tests Using a Novel Rescaling Approach for Optimal Clinical Interpretation

TL;DR

This paper introduces a new method to normalize lab test results, making it easier for doctors to interpret and compare values across different tests and institutions.

Contribution

A novel rescaling approach is introduced to normalize lab values into dimensionless scores for improved clinical interpretation.

Findings

The normalization method converts lab values to a 0 to 1 or -1 to 1 scale for intuitive comparison.

The approach improves interpretability and clarity when applied to common laboratory tests.

The method is suitable for integration into electronic health records and algorithmic tools.

Abstract

Laboratory result interpretation is often hindered by variability in reference ranges across different institutions and analytes. This inconsistency can delay clinical decisions and increase cognitive effort. We present a normalization method that transforms laboratory values into dimensionless scores using simple rescaling formulas based on the reference range. By converting values to a 0 to 1 or -1 to 1 scale, this approach allows intuitive assessment and direct comparison across different tests, regardless of their original units. It simplifies recognition of abnormal values, enhances clinical efficiency, and is suitable for integration into electronic health records and algorithmic tools. Applied to common laboratory tests, the method demonstrated improved interpretability and clarity. Normalizing lab values in this way offers a practical, scalable solution to support faster and more accurate clinical decision-making.