VeRIf: Verification of Reference Intervals
VeRIf is an interactive Shiny web application for the verification and evaluation of reference intervals based on routine laboratory data using the R package reflimR. The web application supports medical laboratories in efficiently, transparently, and data-driven reviewing existing reference intervals.
VeRIf enables the structured evaluation of numerical laboratory values with the following core functionalities:
Verification of predefined target reference limits using routine laboratory data
Indirect estimation of reference intervals using reflimR
Complementary indirect estimation of reference intervals using refineR
Analysis of routine laboratory data using mclust
Graphical and tabular evaluations (histograms, density curves, Q–Q plots, and tables)
Traffic-light system for clear and intuitive plausibility assessment
Optional filtering by age and sex
The combination of statistical modeling and visual presentation allows for a rapid assessment of the agreement between routine laboratory data and existing reference intervals.
VeRIf can be tested directly in the browser without local installation:
VeRIf is an open-source project. The complete source code is available on GitHub and can be freely used, adapted, and further developed:
We are currently evaluating the demand for a commercial version offering extended functionality, improved usability, higher quality standards, and professional support.
To better assess this, we are looking for users who are interested in testing the current version. Participants in the testing phase will have the opportunity to actively contribute to further development through their feedback.
If you are interested to participate as a tester, we would be pleased to hear from you.
Contact
References
Hoffmann, G., Klawitter, S., Trulson, I., Adler, J., Holdenrieder, S., & Klawonn, F. (2024). A Novel Tool for the Rapid and Transparent Verification of Reference Intervals in Clinical Laboratories. Journal of Clinical Medicine, 13(15), 4397. https://doi.org/10.3390/jcm13154397
Ammer, T., Schützenmeister, A., Prokosch, HU. et al. refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data. Sci Rep 11, 16023 (2021). https://doi.org/10.1038/s41598-021-95301-2
Disclaimer
Only anonymized data may be uploaded to this application. This application is provided “as is” and “as available”, without any express or implied warranties of any kind. No warranty is given regarding the accuracy, completeness, reliability, or timeliness of the results. The results are provided for informational and research purposes only and must not be used for diagnosis, treatment, prevention, or any form of clinical or medical decision-making. This application is not a medical device or medical product and does not replace professional medical advice. To the fullest extent permitted by law, the author disclaims all liability for any direct, indirect, incidental, consequential, or special damages arising from the use of this application or its results. Use of this application is entirely at your own risk.
