omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
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9:00 am Wednesday, February 4 Clinical – POC Room C1<br />
Louis Dunka<br />
LifeScan<br />
1000 Gibraltar Drive<br />
Milpitas, Cali<strong>for</strong>nia 95035-6314<br />
ldunka@lfsus.jnj.com<br />
Clinical Outcomes From Point of Care Connectivity<br />
Several studies have been reported which demonstrate the benefits of Point of Care Connectivity in the areas of<br />
workflow, regulatory compliance <strong>and</strong> financail outcomes. Ef<strong>for</strong>ts over the past few years have resulted in st<strong>and</strong>ards<br />
<strong>for</strong> interfaces <strong>for</strong> Point of Care devices. At the same time, multi-analyte vendor nuetral data management systems<br />
have become available. The confluence of these events has resulted in a an opportunity to look at data at both<br />
the data manager level <strong>and</strong> the Lab In<strong>for</strong>mation Sytem level to underst<strong>and</strong> how better patient outcomes can be<br />
achieved. Examples of these ef<strong>for</strong>ts to turn data into actionable in<strong>for</strong>mation include examination of insulin dosing<br />
practices on patients with diabetes at two hospitals, using data from the LIS, resulting in a significant simplifaction<br />
of st<strong>and</strong>ard practices, resulting in better patient care. In another example, data was extracted from the LIS to<br />
compare lab glucose results to results obtained on patients home blood glucose monitors within a 10 minute<br />
period in an outpatient clinic. This allowed an assessment of the comparability of the results <strong>and</strong> a retraining of the<br />
patient or replacement of the blood glucose monitor, where necessary. A third study looked at when glucose tests<br />
had been per<strong>for</strong>med by the lab <strong>and</strong> by fingerstick at the patient’s bedside within 15 minutes of each other. Analysis<br />
of the data allowed a change in st<strong>and</strong>ard practice which allowed the hospital to minimize the number of times a<br />
patient is tested.<br />
9:30 am Wednesday, February 4 Clinical – POC Room C1<br />
Frederick Kiechle<br />
William Beaumont Hospital<br />
3601 W. 13 Mile<br />
Royal Oak, Michigan 48073<br />
fkiechle@beaumont.edu<br />
Compliance, Connectivity, <strong>and</strong> POCT<br />
111<br />
Co-Author(s)<br />
Leana Salka<br />
Recently we implemented POCT connectivity using the Remote Automated <strong>Laboratory</strong> System (RALS Plus),<br />
which linked 61 glucose testing sites, 120 glucose meters, <strong>and</strong> 3,500 operators to a data management system. To<br />
determine the impact of connectivity on the glucose POCT program, software features such as operator lockout,<br />
quality control lockout, <strong>and</strong> the labor cost <strong>for</strong> the POCT coordinator were evaluated <strong>for</strong> a period of 3 months<br />
be<strong>for</strong>e <strong>and</strong> after its implementation. Operator <strong>and</strong> quality control lockout decreased nursing labor costs by $45.44<br />
every 3 months <strong>and</strong> POCT coordinator labor costs by $760.89 every 3 months. RALS Plus software reduced<br />
the labor cost of managing the In<strong>for</strong>m glucose meter database. The POCT coordinator’s labor cost to download<br />
updated data manually from the laptop to the Accu-Data GTS was reduced by $1,043.79. RALS Plus was<br />
interfaced bidirectionally with the hospital in<strong>for</strong>mation system. When the In<strong>for</strong>m database is docked in the base<br />
unit, the results download automatically using an infrared sensor to the hospital in<strong>for</strong>mation system, thus reducing<br />
clerical errors associated with manual result entry <strong>and</strong> labor costs to nursing by $32,627.90 every 3 months <strong>and</strong><br />
to the POCT coordinator by $468.24 every 3 months. In conclusion, POC connectivity reduces error, increases<br />
program compliance, <strong>and</strong> decrease POCT coordinator <strong>and</strong> nursing costs. POC connectivity resulted in a total<br />
annual cost savings of $119,095.00<br />
PODIUM ABSTRACTS