College of Veterinary Medicine


Interpretation of Laboratory Data (Professional Development)

Contact Information

Instructor: Anne Barger, Clinical Professor

Course Description

A case-based approach to clinical laboratory data. Students are required to critically evaluate clinical case data, and write a summary of the case to include description of abnormalities and pathophysiology causing the changes, differential diagnoses and additional testing. A review of each case will be presented once you submit your write up. You are expected to work 4-6 hours per day for 5 days and finish this course in one week.

This course is 100% online.

Course Philosophy

Veterinarians interpret laboratory results almost daily in clinical practice. Evaluation of the testing incorporated in the minimum database is critical to many cases in veterinary practice. This week of professional development with allow each student to become more comfortable interpreting data and making diagnoses. The objective of this course is to help students learn to interpret clinical pathology data as it applies to actual cases.

Mode of Teaching

This course is fully online using Compass 2g ( supported by Blackboard. The content will be presented as text, videos, and other media. The course covers the same amount of material that would be expected if the class were a traditional campus-based course. Due to the nature of online learning, students must be diligent about their learning,engaging often and actively.

This is an online course, students will be assigned4 cases per day and are expected to invest appropriate time to thoroughly interpret the data. Students should expect to spend 45 minutes to an hour interpreting data and writing up cases and then 1.5-2 hours reviewing the cases interpretation videos.

Course Requirements

Required Textbooks

  • No textbook required.
  • Recommended: Latimer KS: Duncan & Prasse’s Veterinary Laboratory Medicine Clinical Pathology, 5thed., 2011. Text is available online.

Technical Requirements

  • A reliable device.
  • High-speed internet connection: e.g. DSL or Cable.
  • Supported web browser: e.g. a recent version of Google Chrome, Firefox, or Safari.
  • Access Microsoft Office 365 (Net ID and password needed) & have Adobe Acrobat Reader installed.
  • Minimum technical skills: At a minimum, students must possess the ability to navigate Blackboard.  This includes accessing course content, posting to a discussion board, and completing online assignments, quizzes, self-assessments, and exams.