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Articles by C. Schuerch
Showing articles by "C. Schuerch"
Article
June 2005
Hemoglobin and its measurement
Methods for the measurement of hemoglobin (Hb) were first
developed well over a century ago, so that hemoglobin was among the
first diagnostic blood tests available to clinicians during the
first decades of the 20th century when laboratory medicine was in
its infancy.
Today it is the most frequently requested blood...
Preanalytical phase
Article
June 2005
Activity-based costing: selecting the right equipment for POC
As point-of-care testing (POCT) becomes more popular in
healthcare institutions because of its ability to deliver
high-quality results at the bedside, point-of-care coordinators
(POCCs) are becoming increasingly tasked with controlling costs.
To
deal with this responsibility, POCCs often turn to equipment to
solve...
Point-of-care testing
Article
May 2005
Patient safety: Find the error behind the error
Lately, everybody seems to be talking about reducing
testing errors and improving patient safety. But where do you
begin?
The answer may be to look beyond the error itself and
instead focus on what is causing it. Michael Astion, Associate
Professor, Director of the University of Washington’s Reference
Laboratory...
Information management
Point-of-care testing
Process optimization
Article
April 2005
Transcutaneous monitoring in continuous use
The University College London Hospitals (UCLH) is one of the largest NHS trusts in England. The Elizabeth Garrett Anderson and Obstetric Hospital houses the Trust's gynecology, obstetric and neonatal services.
At the neonatal unit, blood gas monitoring has historically been done by a combination of blood gas...
Neonatology
Article
April 2005
POCT data mining – an introduction
Point-of-care testing (POCT) results, like other forms
of laboratory data, hold potential hidden information that can be
utilized to improve patient care.
The technique of extracting
useful information from vast amounts of data is termed “data
mining”. Technological solutions are now available to meet the
challenges ...
Point-of-care testing
Information management
Preanalytical phase
Process optimization
Glucose
Creatinine/urea
Hemoglobins
Article
March 2005
POCT data mining – a practical approach
Simple data-mining algorithms can be applied to
point-of-care testing (POCT) data to document compliance of quality
control, operator training and to identify potential preanalytical
errors.
Data can be manipulated to automate manual review and other
laborious processes for identifying data trends, verifying...
Point-of-care testing
Information management
Preanalytical phase
Process optimization
Creatinine/urea
Glucose
Article
January 2005
Pneumatic tube transport of samples for blood gas analysis
The significance of good practice during the pretesting
phase of clinical laboratory investigation cannot be
overemphasized. The production of high-quality, accurate results,
which are clinically useful, depends as much on practice before the
patient’s sample reaches the laboratory as it does on the
analytical phase...
Blood gases/acid-base
Process optimization
Preanalytical phase
Lactate
Article
January 2005
Biological variation and reference (normal) values
Test results are commonly interpreted against
population-based reference (normal) intervals, which should be
provided on every laboratory report, irrespective of whether
the test has been done as point-of-care testing or in a
clinical laboratory.
Reference intervals are difficult to
generate properly if international ...
Quality assurance
Creatinine/urea
Hemoglobins
Article
October 2004
Overcoming the limitations of barcode technology
The introduction of armband barcode scanning
capabilities to point-of-care glucose testing devices has been
shown to greatly reduce patient identification errors. Barcodes
may be scanned to identify operators, patient identification
and reagents. Barcode scanning, however, does not eliminate all
errors, and in some...
Information management
Glucose
Preanalytical phase
Process optimization
Article
September 2004
Biological variation - what’s it all about?
Biochemical and hematological analyses are done in laboratories, clinics, general practices and in point-of-care settings such as ITU. Generally, numerical test results are generated.
Test results vary in individuals over time due to preanalytical variation, analytical imprecision and biological variation. The...
Quality assurance
Hemoglobins
Glucose
