Pros Rationale Cons Rationale
Avoid complications
that may result in
expensive hospital
readmissions
Our reading tells us that
clinical decision
support systems are
created to analyze large
amounts of data, to
suggest the next steps
to make when treating
the patient.
Alert Fatigue According to our
reading, “alert fatigue
is a common byproduct
of poorly implemented
clinical decision
support features that
overwhelm users with
unimportant
information or
frustrating workflow
freezes that require
extra clicks to
circumvent”
(Chamberlain, 2023).
Ensures Patient
Safety
Allows medication
information to be
combined with patient
information to create
alerts about drug-drug
interactions, drug
allergy
contraindications, and
other important
situations. According to
an article I read, alerts
play a role in keeping
the patient safe. The
article also states,
“Among numerous
examples, a CDSS for
blood glucose
measurement in the
ICU was able to
decrease the number of
hypoglycemia events”
(Sutton et al., 2020).
Clinical Burnout According to our
reading, “clinical
burnout is another
common byproduct of
poorly implemented
clinical decision
support features that
overwhelm users with
unimportant
information or
frustrating workflow
freezes that require
extra clicks to
circumvent”
(Chamberlain, 2023).
Reduces the rate of
misdiagnosis
“More sophisticated
systems look for trends
in values, such as the
rate of fall of the
hematocrit or the rising
weight of an ICU
patient who is
accumulating
extracellular fluid,
where an absolute
number may not be
notable, but an alert to
CDSS can be
expensive to
implement and
maintain
Our readings tell us
“The financial
implications to design
and maintain
informatics
infrastructure is often
costly for any
institution”
(Chamberlain,
2023). Another article I
read states, “CDSSs
can also be very costly
