Present sample identification systems
1981
Sample Identification Systems
publication
Author Information
Author(s): H. Keller
Primary Institution: Institut fuer Klinische Chemic und Haematologie, St. C-allen, Switzerland
Conclusion
Effective sample identification is crucial in clinical laboratories to prevent mislabeling and ensure accurate test results.
Supporting Evidence
- Sample identification is essential to link specimens to their sources accurately.
- Mislabeling can occur at multiple stages of sample handling.
- Modern technologies like barcodes and OCR can improve sample identification.
Takeaway
This study talks about how important it is to correctly label and identify samples in labs so that doctors get the right test results.
Methodology
The paper discusses various methods of sample identification in clinical laboratories, including direct and indirect methods, and the use of technology like barcodes and optical character recognition.
Limitations
The paper notes that many traditional methods of sample identification are outdated and can lead to errors.
Want to read the original?
Access the complete publication on the publisher's website