TY  - BOOK
AU  - Abad,Terri Lynne B.
AU  - Abad, Terri Lynne B., 
AU  - Consulta, Mark Anthony D.C
AU  - Funcion, Jerricho G., 
AU  - Pena, Julien Angela A., 
AU  - Torrano, Angelica Marie T.
TI  - Comparative analytical turnaround time between manual and semi-automated methods for urine sediment analysis,: [author]: Abad, Terri Lynne B., Consulta, Mark Anthony D.C, Funcion, Jerricho G., Pena, Julien Angela A.,  Torrano, Angelica Marie T
AV  - MT 2024 0029 c.1 
PY  - 2024///
CY  - Quezon City,Philippines
PB  - FEU-NRMF Dr. Nicanor Reyes Medical Foundation Institute of Medicine
N1  - Includes Appendix; bri'oot
N2  - ABSTRACT:
BACKGROUND: Assessing the Turnaround Time (TAT) in urine sediment analysis plays a critical role in speeding up clinical laboratory results availability thus affording clinicians faster diagnosis especially at the emergency department. This study involves a comparative analysis of the TAT for both manual and automated methods, each playing a distinct role in delivering
accurate and timely results.
METHOD: This study employs a cross-sectional comparative experimental design to assess the turnaround times in manual and automated urinalysis processes. Participants, within the age bracket of 18 to 60 years old, including medical technologists, will be recruited from a Tertiary Private Hospital.
RESULT: The manual method group exhibited a mean analytical time of 1243 seconds (SD = 1194) and a standard error of 178. This variability may be attributed to a variety of factors. The automated method group's mean analytical time was 63.4 seconds (SD = 8.06), with a standard error of 1.20. The automated group's low standard deviation implies that automation produces
more consistent results.
CONCLUSION: Automated methods provide a substantial improvement in turnaround time and consistency compared to manual processes. Participants noted the ease of categorization and rapid results obtained through automated systems, with one participant stating that while manual analysis takes approximately 20-25 minutes per sample, automated systems can
deliver results in as little as five minutes. This efficiency is critical for maintaining high standards in clinical laboratories, as inaccuracies in urine analysis can lead to misdiagnosis and inappropriate treatment.
Keywords: automated method, comparative experimental design, manual method, turnaround
time

UR  - https://library.feu-nrmf.ph/cgi-bin/koha/opac-retrieve-file.pl?id=eeb4afddcb5fcaf871ec580044c748d7
ER  -