AI and a medication reconciliation checklist

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creators-healthcare-AI-and-medication-reconciliation-checklist-r10a3-adults

1. A pharmacist receives an AI-generated comparison table showing a patient's home medication as 'Lisinopril 10mg daily' and the inpatient medication as 'Lisinopril 20mg daily.' What should the pharmacist do with this information?

   1. Prescribe the lower dose to match the home medication
   2. Confirm the dose change with the patient and determine if it was intentional
   3. Update the medical record to match the AI output automatically
   4. Ignore the discrepancy since AI flagged it as a change

2. An AI system is given a patient's home medication list and the inpatient list. Which task is the AI MOST equipped to perform reliably?

   1. Assessing whether a drug interaction is clinically significant
   2. Determining whether a missing medication was intentionally discontinued
   3. Comparing two lists side-by-side and highlighting differences
   4. Deciding which medications require physician consultation

3. A patient takes 'Metoprolol Tartrate' at home, and the inpatient list shows 'Metoprolol Succinate.' The AI output treats these as the same drug. What is the most likely issue?

   1. The hospital uses a different EHR system
   2. The AI correctly identified equivalent formulations
   3. The patient provided incorrect home medication information
   4. These are different drug salts with different release properties

4. To get AI to recognize that 'Zocor' and 'Simvastatin' refer to the same drug, what must be provided?

   1. A list of all FDA-approved medications
   2. A list of drug interactions
   3. Nothing—the AI automatically knows all brand names
   4. A brand-generic key or mapping table

5. A pharmacist reviews an AI-generated med rec table and sees a row marked 'Needs pharmacist review: N.' What should the pharmacist do?

   1. Delete that row from the comparison
   2. Accept the AI determination and skip reviewing that row
   3. Flag the AI system for incorrect classification
   4. Still review the entry because AI output requires pharmacist validation

6. What type of information should NOT be treated as final when reviewing AI medication reconciliation output?

   1. Any discrepancy flagged by the AI
   2. The AI-generated comparison table
   3. The patient's stated home medication list
   4. Drug interaction warnings from the pharmacy system

7. A home medication list contains 'Amoxicillan' (misspelled). How will the AI handle this when comparing to the inpatient list?

   1. Automatically correct it to 'Amoxicillin'
   2. Flag the spelling error for correction
   3. Ignore the misspelled entry entirely
   4. Fail to match it against 'Amoxicillin' and treat it as a different drug

8. Which change type would AI most reliably categorize when comparing medication lists?

   1. Drug discontinued due to side effects
   2. Medication stopped due to allergy
   3. Therapy changed for insurance reasons
   4. Dose changed from 10mg to 20mg

9. An AI system outputs a table with the column 'Change type' showing 'Added' for a medication on the inpatient list not on the home list. What can AI definitively confirm?

   1. The medication is clinically appropriate for the patient
   2. The medication was intentionally added by the prescriber
   3. The medication was not on the patient's home list
   4. The medication was newly prescribed during hospitalization

10. In the medication reconciliation workflow described in this lesson, who ultimately owns the clinical decision about medication changes?

    1. The patient
    2. The pharmacist
    3. The prescribing physician only
    4. The AI system

11. A patient takes 'Tylenol' at home, and the inpatient list shows 'Acetaminophen 650mg.' The AI output correctly matches these. What enabled this matching?

    1. The pharmacist manually corrected the match
    2. The EHR automatically standardized drug names
    3. A brand-generic key was provided to the AI
    4. The AI inherently knows all brand names

12. A patient has 'Metformin 500mg BID' on the home list and 'Metformin 500mg twice daily' on the inpatient list. How will the AI likely categorize this?

    1. As a dose change requiring pharmacist review
    2. As two different medications due to different frequency formats
    3. As a new medication that was added
    4. As an unchanged medication since dose and frequency are equivalent

13. What is a fundamental limitation of AI in medication reconciliation that affects its reliability?

    1. AI cannot read scanned documents
    2. AI cannot determine whether a discrepancy represents an error or intentional change
    3. AI cannot access the patient's full medical history
    4. AI cannot process more than 50 medications at once

14. A hospital implements AI medication reconciliation. The pharmacist receives a table with 15 discrepancies. What is the appropriate next step?

    1. Accept only discrepancies marked 'Needs review: Y'
    2. Review each discrepancy and verify with clinical sources
    3. Send the table back to IT for validation
    4. Approve all discrepancies since AI already reviewed them

15. When entering medication lists into an AI system for reconciliation, why is accurate spelling critical?

    1. AI will not process entries with typos
    2. AI will auto-correct all spelling errors
    3. Typos cause AI to fail to match or incorrectly match medications
    4. Spelling only matters for brand names, not generics