scholarly journals THE ROLE OF PNEUMATIC TUBE SYSTEM IN EFFICIENCY OF EMERGENCY LABORATORY SERVICE OF THE HOSPITAL

2018 ◽  
Vol 19 (3) ◽  
pp. 40-44
Author(s):  
V. M. Teplov ◽  
E. A. Karpova ◽  
Yu. P. Kovalchuk ◽  
I. P. Minnullin ◽  
S. S. Komedev ◽  
...  
Keyword(s):  
Blood Test ◽  
Laboratory Tests ◽  
Limiting Factor ◽  
Test Results ◽  
Tube System ◽  
Laboratory Service ◽  
Pneumatic Tube ◽  
Rate Limiting ◽  
Pneumatic Tube System

Laboratory tests are one of the most commonly ordered tests in the ED and often the rate-limiting  factor in the workup of a patient. The pneumatic tube system (PTS) can use to provide quick specimen  delivery. First aim of this study was to assess PTS by comparing routine chemistry, hematology, coagulation  blood test results and sample integrity indices between duplicate samples transported either manually or  automatically. Also we tried to assess the contribution of PTS to reduction in lab turnaround times.

Comparison of pneumatic tube system with manual transport for routine chemistry, hematology, coagulation and blood gas tests

2017 ◽  
Vol 55 (10) ◽  
Author(s):  
Alex Pupek ◽  
Beverly Matthewson ◽  
Erin Whitman ◽  
Rachel Fullarton ◽  
Yu Chen
Keyword(s):  
Laboratory Tests ◽  
Capillary Tube ◽  
Statistical Significance ◽  
Test Results ◽  
Blood Gas ◽  
Tube System ◽  
Pneumatic Tube ◽  
Clinically Significant ◽  
Pneumatic Tube System ◽  
Tube Study

AbstractBackground:The pneumatic tube system (PTS) is commonly used in modern clinical laboratories to provide quick specimen delivery. However, its impact on sample integrity and laboratory testing results are still debatable. In addition, each PTS installation and configuration is unique to its institution. We sought to validate our Swisslog PTS by comparing routine chemistry, hematology, coagulation and blood gas test results and sample integrity indices between duplicate samples transported either manually or by PTS.Methods:Duplicate samples were delivered to the core laboratory manually by human courier or via the Swisslog PTS. Head-to-head comparisons of 48 routine chemistry, hematology, coagulation and blood gas laboratory tests, and three sample integrity indices were conducted on 41 healthy volunteers and 61 adult patients.Results:The PTS showed no impact on sample hemolysis, lipemia, or icterus indices (all p<0.05). Although alkaline phosphatase, total bilirubin and hemoglobin reached statistical significance (p=0.009, 0.027 and 0.012, respectively), all had very low average bias which ranged from 0.01% to 2%. Potassium, total hemoglobin and percent deoxyhemoglobin were statistically significant for the neonatal capillary tube study (p=0.011, 0.033 and 0.041, respectively) but no biases greater than ±4% were identified for these parameters. All observed differences of these 48 laboratory tests were not clinically significant.Conclusions:The modern PTS investigated in this study is acceptable for reliable sample delivery for routine chemistry, hematology, coagulation and blood gas (in syringe and capillary tube) laboratory tests.

scholarly journals PNEUMATIC TUBE TERHADAP DARAH RUTIN DAN LAKTAT DEHIDROGENASE

2018 ◽  
Vol 21 (2) ◽  
pp. 111
Author(s):  
Liong Boy Kurniawan ◽  
Asvin Nurulita ◽  
Uleng Bahrun
Keyword(s):  
Cross Sectional Study ◽  
Test Results ◽  
Tube System ◽  
Cross Sectional ◽  
Pneumatic Tube ◽  
Routine Blood ◽  
Paired Samples ◽  
Significant Difference ◽  
Velocity Changes ◽  
Pneumatic Tube System

The transportation of laboratorial samples with pneumatic tube system spends less time than when were handled by courier.Pneumatic tube system produces minor vibrations on sample due to the velocity changes during transportation and may cause changeson the blood cells and haemolysis. The aim of this study is to know the effect of sample transportation with pneumatic tube on bloodcells and its effect on hemolysis. A cross sectional study was performed at Dr. Wahidin Sudirohusodo Hospital, Makassar in July 2013.Routine blood, electrolyte and LDH were tested in 12 out-patients. The researchers collected two (2) samples, for each EDTA tube (routineblood tests) and serum (electrolyte and LDH). The samples were transported using pneumatic tube and the paired samples were sentby courier. The result then were analyzed with Paired T-Test. There were no significant difference of routine blood test results betweensamples sent by pneumatic tube and courier except RDW. RDW were higher in samples which were sent by pneumatic tube comparedto those brought by the courier (18.72±2.70% vs 17.83±2.36%, p=0.007). The electrolyte levels sent by both methods there were nosignificant difference, but the LDH levels were higher in samples sent by pneumatic tube (472.08±100.44 U/L vs 331.25±94.19 U/L,p=0.000). Based on this study, in common can be concluded that the pneumatic tube system does not effect on the routine blood testresults, except on RDW and does not cause changes due to haemolysis (on electrolyte) except the LDH levels elevates. So based on thisstudy, it is recommended to send samples for LDH test only by courier.

Pneumatic tube system for transport of laboratory samples: preanalytical aspects

2014 ◽  
Vol 155 (28) ◽  
pp. 1113-1120 ◽  
Author(s):  
Judit Tóth ◽  
Ágota Lenkey ◽  
Anna V. Oláh ◽  
Julianna Köteles ◽  
Valéria Kissné Sziráki ◽  
...  
Keyword(s):  
Clinical Laboratory ◽  
Turnaround Time ◽  
Considerable Proportion ◽  
Laboratory Diagnostics ◽  
Tube System ◽  
Serum Samples ◽  
Laboratory Service ◽  
Laboratory Errors ◽  
Pneumatic Tube ◽  
Pneumatic Tube System

Introduction: A considerable proportion of laboratory errors occurs in the preanalytical phase. Aim: The aims of the authors were to study preanalytical errors in routine and emergency laboratory diagnostics in a regional clinical laboratory and evaluate the effect of the pneumatic tube system on turnaround time and laboratory results. Method: The ratio of preanalytical errors and reasons of test rejection were analysed. In addition, the effects of pneumatic tube and manual transport on the occurrence of hemolysis and platelet activation were compared. Results: Using the pneumatic tube transport system, preanalytical error was below 1%. The main causes of test rejection were haemolysis in case of serum samples, and clot formation and citrate excess in anticoagulated samples. The pneumatic tube transport resulted in significantly faster sample transport, more equalized sample arrival and processing, hence the turnaround time became shorter both for routine and emergency tests. Conclusions: Autovalidation and proper control of preanalytical errors are essential for rapid and reliable laboratory service supported by the pneumatic tube system for sample transport. Orv. Hetil., 2014, 155(28), 1113–1120.

Requiem for the STAT Test: Automation and Point of Care Testing

2019 ◽  
Author(s):  
Gurmukh Singh ◽  
Natasha M Savage ◽  
Brandy Gunsolus ◽  
Kellie A Foss
Keyword(s):  
Point Of Care ◽  
Turnaround Time ◽  
Test Automation ◽  
Test Results ◽  
Point Of Care Testing ◽  
Tube System ◽  
Front End ◽  
Laboratory Test Results ◽  
Batch Testing ◽  
Pneumatic Tube System

Abstract Objective Quick turnaround of laboratory test results is needed for medical and administrative reasons. Historically, laboratory tests have been requested as routine or STAT. With a few exceptions, a total turnaround time of 90 minutes has been the usually acceptable turnaround time for STAT tests. Methods We implemented front-end automation and autoverification and eliminated batch testing for routine tests. We instituted on-site intraoperative testing for selected analytes and employed point of care (POC) testing judiciously. The pneumatic tube system for specimen transport was expanded. Results The in-laboratory turnaround time was reduced to 45 minutes for more than 90% of tests that could reasonably be ordered STAT. With rare exceptions, the laboratory no longer differentiates between routine and STAT testing. Having a single queue for all tests has improved the efficiency of the laboratory. Conclusion It has been recognized in manufacturing that batch processing and having multiple queues for products are inefficient. The same principles were applied to laboratory testing, which resulted in improvement in operational efficiency and elimination of STAT tests. We propose that the target for in-laboratory turnaround time for STAT tests, if not all tests, be 45 minutes or less for more than 90% of specimens.

Predicting abnormal laboratory blood test results in the intensive care unit using novel features based on information theory and historical conditional probability (Preprint)

2021 ◽  
Author(s):  
Camilo E. Valderrama ◽  
Daniel J. Niven ◽  
Henry T. Stelfox ◽  
Joon Lee
Keyword(s):  
Machine Learning ◽  
Intensive Care ◽  
Conditional Probability ◽  
Blood Test ◽  
Laboratory Tests ◽  
Conditional Entropy ◽  
Admission Diagnosis ◽  
Test Results ◽  
Abnormal Laboratory ◽  
Blood Tests

BACKGROUND Redundancy in laboratory blood tests is common in intensive care units (ICU), affecting patients' health and increasing healthcare expenses. Medical communities have made recommendations to order laboratory tests more judiciously. Wise selection can rely on modern data-driven approaches that have been shown to help identify redundant laboratory blood tests in ICUs. However, most of these works have been developed for highly selected clinical conditions such as gastrointestinal bleeding. Moreover, features based on conditional entropy and conditional probability distribution have not been used to inform the need for performing a new test. OBJECTIVE We aimed to address the limitations of previous works by adapting conditional entropy and conditional probability to extract features to predict abnormal laboratory blood test results. METHODS We used an ICU dataset collected across Alberta, Canada which included 55,689 ICU admissions from 48,672 patients with different diagnoses. We investigated conditional entropy and conditional probability-based features by comparing the performances of two machine learning approaches to predict normal and abnormal results for 18 blood laboratory tests. Approach 1 used patients' vitals, age, sex, admission diagnosis, and other laboratory blood test results as features. Approach 2 used the same features plus the new conditional entropy and conditional probability-based features. RESULTS Across the 18 blood laboratory tests, both Approach 1 and Approach 2 achieved a median F1-score, AUC, precision-recall AUC, and Gmean above 80%. We found that the inclusion of the new features statistically significantly improved the capacity to predict abnormal laboratory blood test results in between ten and fifteen laboratory blood tests depending on the machine learning model. CONCLUSIONS Our novel approach with promising prediction results can help reduce over-testing in ICUs, as well as risks for patients and healthcare systems. CLINICALTRIAL N/A

Impact of pneumatic tube system transport for the monitoring of heparin therapy

2017 ◽  
Vol 158 ◽  
pp. 35-37
Author(s):  
Aurélien Lebreton ◽  
Alessandro Casini ◽  
Oana Bulla ◽  
Pierre Fontana
Keyword(s):  
Heparin Therapy ◽  
Tube System ◽  
Pneumatic Tube ◽  
Pneumatic Tube System
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