Getting the most from the forecast

How to interpret concentration forecasts

LevelTrace calculates a concentration forecast from your records and pharmacokinetic reference parameters. It is designed to show expected dynamics, including accumulation, peaks and decline. With accurate inputs and suitable references, the curve can be close to real dynamics, while individual results can still vary.

Forecast and laboratory measurement

The graph forecasts concentration dynamics; a laboratory test measures a real sample at a particular moment. Comparing the two can be informative, but absorption, metabolism, administration technique and formulation differences may shift an individual value.

Reference values shape the forecast

Half-life, composition and related parameters come from reference data. Values can differ by formulation, study design, administration route and source. Choosing data that matches the actual product and route makes the forecast more representative.

Accuracy starts with source data

Dates, times, amounts, products and compositions directly shape the curve. Recording actual uses accurately and correcting mistakes promptly gives the model the strongest possible foundation.

Why accuracy is individual

There is no honest universal accuracy percentage for every person, product and route. In practice, a well-matched model with accurate records can closely reflect expected dynamics, but the difference from a laboratory result depends on individual physiology and the quality of the reference data.

Use the forecast with context

The forecast is valuable for understanding timing, accumulation and relative changes inside one consistent model. For decisions that depend on an exact personal concentration or health response, combine the forecast with laboratory data and qualified clinical interpretation.

Related guides

Return to the concentration forecast and drug half-life guide or review how source records are created in the pharmacology course tracker.