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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.

By: Contributor(s): Publication details: Quezon City,Philippines; FEU-NRMF Dr. Nicanor Reyes Medical Foundation Institute of Medicine, 2024Description: 105pages 28cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
LOC classification:
  • MT 2024 0029 c.1
Online resources: Summary: 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
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Item type Current library Call number Status Date due Barcode
Theses Far Eastern University - Nicanor Reyes Medical Foundation MT 2024 0029 c.1 (Browse shelf(Opens below)) Available T002889
Theses Far Eastern University - Nicanor Reyes Medical Foundation MT 2024 0029 c.2 (Browse shelf(Opens below)) Available T002890
Theses Far Eastern University - Nicanor Reyes Medical Foundation MT 2024 0029 c.3 (Browse shelf(Opens below)) Available T002891

Includes Appendix

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

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