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.