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Automation/Computer Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Integra 400 for serum proteins, and Thermo <strong>Scientific</strong> Konelab with DiagAm reagent<br />

for microalbuminuria. Valtec protocol designed by <strong>the</strong> French Society <strong>of</strong> Clinical<br />

Biology was used for comparison analysis.<br />

Results: For within-run precision using QC materials (n=30) all 93 coefficients <strong>of</strong><br />

variation were below 2 %, 68 % being lower than 1 %. For total precision (n=30), CVs<br />

for serum chemistry parameters were below 2.5 % except for CO2 and creatinine.<br />

Urine chemistry parameters showed CVs below 2.5 %, and urine microalbuminuria<br />

CV was below 3.7 %. There was no significant cross-contamination between<br />

samples, and <strong>the</strong> method linearities were consistent with <strong>the</strong> manufacturer’s claims.<br />

Interferences were mainly associated with icterus: above a bilirubin concentration <strong>of</strong><br />

400 μmol/L a decrease <strong>of</strong> recovery was observed for creatinine (Jaffe), total protein<br />

and cholesterol. Grossly haemolysed samples showed decreased bilirubin recovery.<br />

Correlation studies were very satisfactory; some differences were observed with urine<br />

protein results, but this is due to <strong>the</strong> well-known interference <strong>of</strong> some polypeptidebased<br />

plasma expanders. Time for obtaining <strong>the</strong> results <strong>of</strong> 900 tests (9 parameters<br />

on 100 samples) was 36 min. 06 sec., starting from stand-by. Turnaround time (TAT)<br />

for an emergency sample with 7 tests was 11 min. when <strong>the</strong> analyser was in routine<br />

operation.<br />

Conclusion: The analytical features and <strong>the</strong> throughput <strong>of</strong> <strong>the</strong> AU5811analyser make<br />

it suitable for a laboratory dealing with a large number <strong>of</strong> samples and looking for fast<br />

TAT for emergency analysis.<br />

A-90<br />

Throughput Evaluation <strong>of</strong> ACCELERATOR p540 Perianalytical<br />

Sample Processor using Primary and Secondary Aliquot Samples<br />

A. DeFrance 1 , J. Lucio 1 , K. Reed 1 , Y. Smith 1 , D. Overcash 2 . 1 Abbott<br />

Laboratories, Irving, TX, 2 Abbott Laboratories, Abbott Park, IL<br />

Introduction: The ACCELERATOR p540 is a fully automated perianalytical sample<br />

processor that performs sample loading and identification, decapping, aliquoting,<br />

and sorting operations. The p540 consists <strong>of</strong> two managed integrated modules. The<br />

aliquoter module has aliquoting and sorting capabilities and <strong>the</strong> sorter module has <strong>the</strong><br />

capability <strong>of</strong> sorting into preconfigured instrument specific racks. Primary tubes are<br />

pre-loaded into five position racks and introduced to <strong>the</strong> aliquoter. The primary sample<br />

tubes and aliquot samples are sorted to <strong>the</strong> Aliquoter and /or connected Sorter module.<br />

The objective <strong>of</strong> this study was to measure <strong>the</strong> p540’s throughput per hour <strong>of</strong> primary<br />

collection tubes and <strong>of</strong> various aliquot sampling pr<strong>of</strong>iles.<br />

Methodology: The p540 was programmed using an LIS to process an assortment <strong>of</strong><br />

capped primary collection tubes and aliquots. The throughput in terms <strong>of</strong> number <strong>of</strong><br />

tubes processed per hour was measured. Variations were ordered calling for one, two,<br />

or three aliquots from <strong>the</strong> primary tube. In one experiment, sample tubes were sorted<br />

to <strong>the</strong> Sorter Module connected to <strong>the</strong> Aliquoter Module via a bridge connection.<br />

In a second experiment, all tubes were sorted to <strong>the</strong> Aliquoter Module secondary<br />

sorting garage. The p540 can be configured for ei<strong>the</strong>r path or a combination <strong>of</strong> both<br />

for maximum tube throughput.<br />

Results: The table summarizes <strong>the</strong> throughput results for <strong>the</strong> various combinations <strong>of</strong><br />

primary tubes, aliquots, and processor paths.<br />

Tube Throughput Under Various Workload Conditions<br />

1 Primary tube + 1 1 Primary tube +2<br />

Aliquot<br />

Aliquots<br />

All<br />

All Tubes All Tubes All Tubes<br />

Tubes<br />

Sent to Sent to Sent to<br />

Sent to<br />

Secondary Sorter: Secondary<br />

% Aliquots Sorter:<br />

Garage: Total Garage:<br />

Total<br />

Total No. <strong>of</strong> No.<strong>of</strong> Total No. <strong>of</strong><br />

No.<strong>of</strong><br />

tubes/hr tubes/hr tubes/hr<br />

tubes/hr<br />

1 Primary tube + 3<br />

Aliquots<br />

All Tubes<br />

Sent to<br />

Sorter:<br />

Total<br />

No.<strong>of</strong><br />

tubes/hr<br />

All Tubes<br />

Sent to<br />

Secondary<br />

Garage:<br />

Total No. <strong>of</strong><br />

tubes/hr<br />

0 483 490 483 490 483 490<br />

10 529 534 517 558 538 589<br />

20 572 562 543 603 565 691<br />

30 575 565 551 658 536 713<br />

50 592 637 566 756 580 708<br />

70 614 722 578 775 592 694<br />

100 642 862 597 779 611 697<br />

Conclusion: The p540 significantly increases workflow efficiency as a standalone<br />

sample processor as demonstrated by this throughput study. Utilizing a LIS,<br />

approximately 500 primary tubes can be processed with increasing efficiency<br />

as <strong>the</strong> number <strong>of</strong> aliquots increase. This study demonstrates <strong>the</strong> benefit <strong>of</strong> sorting<br />

tubes directly to analyzer specific racks while maintaining satisfactory throughput.<br />

The p540 Aliquoter and Sorter Modules provide sorting capabilities as desired for<br />

optimum efficiency.<br />

A-91<br />

Optimization <strong>of</strong> sample workflow with focus in <strong>the</strong> pre-analytical<br />

phase in a reference laboratory in Brazil<br />

L. G. S. Carvalho 1 , C. Pereira 2 , A. Bertini 2 , F. E. Pereira 1 , G. Ludovico 1 , J.<br />

A. D. Maciel 3 , T. P. Souza 3 . 1 DASA, Cascavel, Brazil, 2 DASA, São Paulo,<br />

Brazil, 3 DASA, Rio de Janeiro, Brazil<br />

Background: The workflow <strong>of</strong> samples within <strong>the</strong> pre-analytical laboratory stage is<br />

already well defined. However, laboratory workloads are constantly growing at <strong>the</strong><br />

same time that laboratories are under pressure to contain or lower costs. In addition to<br />

that, it is not always available sorting automation instruments to meet adequately and<br />

timely <strong>the</strong> distribution process and all <strong>the</strong> variety <strong>of</strong> sample recipients demanded for<br />

sorting. The causes can vary from tubes standardization (difficult to obtain in reference<br />

labs) to demand fluctuation (due to commercial or seasonal reasons), common in<br />

reference labs routine. When <strong>the</strong>se variables are present, sample flow is less efficient,<br />

increasing materials and employees cost, as well as arising potential human errors.<br />

Alvaro laboratory receives around 50.000 tubes a day only for <strong>the</strong> serum work area<br />

tests and provides a very important attribute to its customer: single tube submission <strong>of</strong><br />

<strong>the</strong> tests, what makes <strong>the</strong> sorting process a challenge for <strong>the</strong> lab. The aim <strong>of</strong> this study<br />

is to present <strong>the</strong> tools and processes developed to achieve excellence and efficiency in<br />

<strong>the</strong> pre analytical phase <strong>of</strong> a large and differentiated reference lab.<br />

Methods: New setting rules for sample distribution (sorting) and RSD samples flow<br />

(RSD work cycle tray creation) were proposed within <strong>the</strong> pre analytical system and<br />

was implemented via IT solution, allowing <strong>the</strong> integration between three lab sectors<br />

<strong>of</strong> higher sample volume (Biochemistry, Immunology and Immunochemistry). This<br />

integration was established based in <strong>the</strong> criteria <strong>of</strong> speed, capacity and throughput,<br />

toge<strong>the</strong>r with <strong>the</strong> institution <strong>of</strong> a tube “transfer” flow between <strong>the</strong>se areas. This<br />

new procedure simplified <strong>the</strong> analytical flow and enabled <strong>the</strong> generation <strong>of</strong> fewer<br />

aliquots, giving preference to route <strong>the</strong> single tube. The labor-intensive sorting and<br />

aliquoting practice was dedicated only to manual tests or specific routines, which<br />

lead to standardization <strong>of</strong> manual distribution, compared to those used in automated<br />

distribution (RSD). These rules were customized according to <strong>the</strong> lay out and<br />

instrument design <strong>of</strong> Alvaro Laboratory.<br />

Results: With <strong>the</strong> implementation <strong>of</strong> <strong>the</strong> optimized manual and RSDs sorting process,<br />

we obtained in <strong>the</strong> period <strong>of</strong> June 2011 to June 2012, a saving <strong>of</strong> 112,000 aliquoting<br />

tubes, decreasing <strong>the</strong> overall aliquoting percentage rate from 16.7% to 5.5% and<br />

improving <strong>the</strong> patient / Aliquot rate from 5.96 to 18.34.<br />

Conclusion: This project allowed quantitative and qualitative gains that conducted<br />

<strong>the</strong> lab to improvements in productivity, cost and turnaround time for <strong>the</strong> sorting<br />

process, with positive impact on key performance indicators.<br />

A-92<br />

Overutilization <strong>of</strong> Hemoglobin A1c and Serum protein Electrophoresis<br />

Tests in a Large Tertiary Hospital<br />

M. Fenelus, T. C. Brandler, L. Bilello, L. K. Bjornson. North Shore<br />

University Hospital Laboratory, Manhasset, NY<br />

Introduction: Under <strong>the</strong> new Healthcare Reform Act, laboratory pr<strong>of</strong>essionals are<br />

expected to review ordering patterns for clinical laboratory tests to ensure appropriate<br />

and efficient use <strong>of</strong> laboratory resources. Inappropriate ordering practices contribute<br />

to <strong>the</strong> high cost <strong>of</strong> healthcare. It is incumbent upon members <strong>of</strong> <strong>the</strong> laboratory to work<br />

with <strong>the</strong>ir clinical colleagues to achieve appropriate utilization <strong>of</strong> laboratory tests.<br />

Objective: To review utilization <strong>of</strong> two laboratory tests, Hemoglobin A1c (HbA1c)<br />

and Serum Protein Electrophoresis (SPEP) over a 6 month period.<br />

Methods: A retrospective computerized query <strong>of</strong> our clinical data repository was<br />

performed to document all HbA1c and SPEP tests performed from January to June<br />

2012 for a large tertiary care hospital in central Long Island, NY (North Shore<br />

University Hospital). HbA1c test results totaling 4,736 from 3,940 patients and<br />

SPEP test results totaling 272 from 256 patients were examined. This study examines<br />

utilization <strong>of</strong> HbA1c and SPEP tests, which are usually ordered once per admission. A<br />

second order for <strong>the</strong> SPEP test within 7 days and HbA1c within 30 days is considered<br />

overuse in our study.<br />

Results: Review <strong>of</strong> <strong>the</strong> HbA1c data showed 415 out <strong>of</strong> a total <strong>of</strong> 3,940 patients had<br />

two or more HbA1c ordered within one month which confers a 10.5% overutilization<br />

for this test. Review <strong>of</strong> SPEP data showed more than one SPEP ordered within <strong>the</strong><br />

same week for 9 out <strong>of</strong> 256 patients, which confers a 3.5% overutilization for this test.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A25

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