Using AI as a Pharmacy Student or Resident Without Losing the "You" in Your Work

Artificial intelligence (AI) is now standard practice across thousands of professions and educational institutions, and pharmacy is no exception. With that rise has come real debate: if you use AI, is the result still your unique work? My answer is yes—because there are specific, appropriate uses of AI that support pharmacy students and residents without compromising the integrity of their own work.

AI as a Literature Search Tool

When used carefully, AI can be an efficient complement to a literature search, not a replacement for sound methodology. Gone are the days of relying solely on Google or PubMed. AI-assisted search can compress hours of searching into minutes, freeing up time for the part that actually requires your judgment: critically appraising the literature itself. Used this way, AI functions as a time-management tool, not a shortcut around the thinking.

AI as a Structuring Tool

AI is also a strong tool for structuring your work—not writing it for you. This applies to patient case presentations, residency research projects, medication use evaluations for P&T committee presentations, and live research presentations at regional pharmacy conferences. The key distinction is that AI helps with structure and design, not the content or conclusions of the research itself. The clinical thinking stays yours.

The benefit isn't one-sided. Residency program directors can use AI strategically throughout the application and program-management cycle:

• Application review: organizing applicant data into consistent comparison formats, flagging missing materials, and standardizing how criteria are summarized across candidates.
• Requirement grid building: turning American Society of Health-System Pharmacists accreditation standards and program-specific requirements into a clean, trackable grid instead of building one from scratch each cycle.
• Data visualization: generating graphs and charts (eg, match rates, rotation completion, applicant metrics, milestone tracking) that make trends easy to present to committees or accreditation reviewers.
• Rank list prep: structuring interview notes and scoring rubrics into a consistent format that makes side-by-side comparison faster and more objective.

Here too, AI's role is organizational and administrative. It is able to handle structure and formatting so residency program directors can spend their time on the judgment calls that actually require human expertise, such as who is the right fit for the program.

The bottom line is that whether you are a student, a resident, or a residency program director, the line that keeps AI use appropriate is the same: Let it handle structure, formatting, and efficiency, but not the thinking, judgment, or conclusions that make the work yours.