For someone who has been advocating the modeling of exposure
estimation for many years, it is very heartening to see research in this area
taking root and growing.
Twenty-four years ago this spring, a friend and colleague,
Neil Hawkins, suggested that I meet with a young woman who was an IH working
for Dow Corning. Her name was Susan
Arnold and Neil said that she was very bright with a lot of energy and that I should
talk with her about exposure modeling.
I contacted Susan and we went out to dinner at the AIHA Annual Conference
in Salt Lake City in the spring of 1991.
We have been friends and colleagues ever since and Susan has worked as a
modeler ever since. Indeed, she received
her Master’s Degree with a modeling project and will defend her PhD thesis on
modeling at the University of Minnesota later this summer. Suffice it
to say that Neil and I are very proud of Susan and her accomplishments.
At this month’s conference of the American Industrial
Hygiene Association in Salt Lake City, I and many of my colleagues were treated
to some of the excellent work coming out of the University of Minnesota under
the leadership of Dr. Gurumurthy Ramachandran or, as many of us know him,
Ram.
On the 24th
anniversary of our first meeting in Salt Lake City, Susan presented three papers on modeling
which I will mention very briefly here and send her slides to whomever asks for
them.
For many years Susan, Ram, Perry Logan, John Mulhausen and others have been
interested in investigating the nature, power and accuracy of “expert judgement”
within the realm of industrial hygiene.
Indeed, since the beginning of the profession the mantle or cloak of “expert judgment” has been
invoked most times an IH would declare a
particular exposure scenario to be “safe” or in need or further
investigation. The term was so ubiquitous
that it begged to be defined. This was
done in the latest (and I believe earlier editions of) AIHA Exposure “Strategies
Book”. The quote below is from the 3rd
Edition:
“The application and appropriate use of knowledge gained from the formal education, experience, experimentation, inference, and analogy. The capacity of an experience professional to draw correct inferences from incomplete quantitative data, frequently on the basis of observations, analogy and intuition.”
The nature of professional judgment of Industrial Hygienists has been
put to the test by asking them to use their judgment to characterize
well-described exposure scenarios (without monitoring data) by placing them in one of 4 bins; namely, less than 10% of the OEL, 10-50%
of the OEL, 50 – less than 100% of the OEL and greater than or equal to the OEL. When asked to do this without information
provided by modeling they systematically underestimated the true exposure.
Note: Even when you have monitoring data, characterizing or placing the exposure in the correct bin is challenging. If you do not believe me, read a previous blog on the Smart Phone App: IH DIG (http://jayjock-associates.blogspot.com/2014/01/ih-dig-and-pump-monkey.html). Play IH DIG and you will understand.
Susan’s three presentations get into the issue of professional judgment aided by modeling while
putting some of the most popular models through their paces in both the
laboratory and real world. The titles
of the three talks she presented are:
- Evaluating Model Performance under Highly Controlled Conditions
- Evaluating Model Performance under Real World Conditions
- Predicting Construction Related Silica Exposure Using Input from Chamber and Field Studies
Research into exposure assessment modeling is really just
getting started; there is still plenty of room for folks to get involved in
this growing field. Indeed, as Susan
wrote in the last conclusion of one of her talks: “A very young science… there is still much to
learn!
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