Complete and Submit the Differential Diagnoses Table for
Module 1 using information from Stern, S., Cifu, A., and Altkorn, D., (2015).
Symptom to Diagnosis. 3rd edition to complete the table.
Read pages 179-183,
341-342, and Chapters 18 (Fatigue) and
32 (Unintentional Weight Loss). Chapters 18 and 32 can be associated with
generalized symptoms i.e. Fever.
This assignment is designed to assist you in the development
of differential diagnoses based on the signs/symptoms,and physical findings of
specific disease entities. You will also begin examining the commonly used
laboratory, radiological and other diagnostic studies to identify the diagnosis
(rule in) and/or exclude the diagnosis (rule out).
Within the table there are identified diagnoses listed that
may be associated with a chief complaint. You are to complete each column for
each disease entity.
The Epidemiology Data includes the population you would see
this diagnosis occur i.e. pediatrics, adult females/males, elderly, etc.
Condense this information as you would in the “Illness Script”
described in the Medical Media software.
List the subjective
data: that is what a patient may tell
you. Also, list the physical findings of that disorder. This is the objective
data that you would discover on exam. Then list 3 other differential diagnosis
that may present with the same chief complaint to begin grouping pattern
recognition.
USE BULLET POINTS. This is not a narrative
Finally, list any diagnostic testing you would use to
finalize the diagnosis and the references used to complete the table. All
citations should be in APA format. References should be listed at the bottom of
the table. For Module 3 Use ONLY peer
review articles for references as Stern does not cover Mental Health in his
textbook.
You are to submit the table within CANVAS for each module.
This table is to be used as a collective tool throughout the course and may be
used to help study for your credentialing exam.
MSN 610 Differential Diagnoses Table 3.docxPreview the
document
Grading Rubric: Each diagnosis is worth 1.0 point. Each
column is worth 0.20 points.