AI Use Case Submission

Contest: What problem, task, or goal was addressed?

HCMT 2400 Pathophysiology had been taught in the Healthcare Management Program with a clinical focus for many years, ending Fall 2025. Medical Coders utilize knowledge regarding diseases and conditions to properly select ICD-10-CM, CPT, and HCPCS codes. Knowledge of the codes must be structured to guide students to learn and retain specific information about diseases and conditions beyond what is learned through memorization for a test.

Using Bloom’s Taxonomy at higher levels than memorizing through analyzing, comparing, and determining whether information from one source matches information gleaned from another source allows students to learn Pathophysiology at a much higher level, increasing understanding and retention.

Application: How AI was used

Pathophysiology course was designed to require students to learn pathophysiology concepts through the following processes:

PROMPT Development

The prompt includes the following information:

• From which perspective to operate, such as acting as a beginning pathophysiology student in a community college.
• Information to include about each disease or condition.
• Where to find information regarding diagnoses and conditions appropriate for the body system discussed in the current chapter of the textbook.
• Display the information found in Excel spreadsheet format with the following columns:
  • Column A: Disease/condition
  • Column B: Description of disease/condition in Column A
  • Column C: Signs and symptoms of disease/condition in Column A
  • Column D: Diagnostic tests for disease/condition in Column A
  • Column E: Medications used for disease/condition in Column A
  • Column F: Therapeutic procedures for disease/condition in Column A
  • Column G: Reference to CMS Official Coding Guidelines regarding disease/condition in Column A
  • Column H: Coding considerations regarding disease/condition in Column A

ChatGPT Retrieval of Information

• The prompt should be copied and pasted into ChatGPT.

Excel Spreadsheet

• Copy and paste information returned by ChatGPT into an Excel spreadsheet.
• Convert each sheet in the spreadsheet into a table so information can be sorted and found conveniently.
• Sort by diseases/conditions in Column A.
• Format the spreadsheet to display information clearly.

Textbook Review and Verification

• Read the textbook chapter and identify diseases/conditions included in the textbook in Column A by highlighting the cell containing the name of the disease/condition in yellow.
• Add the disease/condition in Column A if it does not appear in the spreadsheet. Do not highlight Column A yellow, but highlight the information in that row yellow.
• Search for diseases/conditions not highlighted in Google.
• Verify information regarding diseases/conditions by columns, including:
  • Description: Column B
  • Signs and symptoms: Column C
  • Diagnostic tests: Column D
  • Medications: Column E
  • Therapeutic procedures: Column F
  • Official CMS Coding Guidelines: Column G
  • Coding considerations: Column H
• Use Google Gemini or another external source in Google Search, such as Mayo Clinic, Cleveland Clinic, NIH, or another reputable source.
• Highlight verified textbook information in yellow.
• Highlight verified Google-source information in blue.
• Strike through information that cannot be verified in the textbook or Google.
• Type added information in red print.
• All cells in each row and column must be marked as yellow, blue, struck through, or red.

Outcomes: Results, impact, or lessons learned

• This process requires students to understand how to use AI to collect large amounts of data, sort and display information, and ensure that the required information is collected.
• This Excel spreadsheet may be used in medical coding classes, to study for the CPC Exam, in HCMT 2365 Coding Capstone, Practicode, and in the workplace as a medical coder. This data should be updated regularly.
• Students will learn Pathophysiology based on a higher Bloom’s Taxonomy learning scale.
• Instead of memorizing diseases and conditions common for each chapter of the textbook, students will use AI to gather large amounts of data, verify information collected by AI, compare sources, and determine whether the meanings in the chapter match the information listed in the spreadsheet.
• This changes the process from the lowest level of Bloom’s Taxonomy to the highest level to increase understanding and retention.
• More than 40 hours of Zoom meetings were held to explain the process clearly to students. Therefore, AV materials must be included to enhance student understanding. Those materials are being designed over Summer 2026.