AI for Clinical Documentation Integrity Specialists Quiz

Answers and explanations appear as you take the quiz.

1. How does an AI-prioritized CDI worklist differ from reviewing charts in admission order?
   • It skips every patient over age 65
   • It scores each open case by its likely documentation opportunity and quality impact
   • It only includes discharged patients
   • It sorts charts by physician seniority
2. Which element should a compliant AI-drafted CDI query leave out?
   • Lab values with dates
   • Any mention of financial or quality impact
   • A question about the patient's condition
   • Clinical indicators from nursing notes
3. A multiple-choice query about heart failure type should include which kind of options?
   • Only the option that raises the DRG
   • Options from other patients' charts
   • Clinically reasonable options supported by the record, plus choices like 'other' and 'clinically undetermined'
   • Exactly two options, yes and no
4. Under current query guidance, when should a yes/no query not be used?
   • To get a new diagnosis that is not already documented
   • To confirm present-on-admission status
   • To resolve conflicting documentation
   • For any inpatient stay
5. Why is negation and context detection important in CDI AI?
   • It speeds up printing queries
   • It translates notes into other languages
   • It removes lab data from the chart
   • Phrases like 'rule out sepsis' or a family history should not count as evidence the patient has the condition
6. The guide lists a creatinine rise from 0.9 to 2.1 mg/dL within 48 hours. How should the AI draft use this finding?
   • Write acute kidney injury into the chart itself
   • Leave it out because labs cannot be cited
   • Cite the lab values and dates in a query without naming the diagnosis in advance
   • Send it to the payer
7. What problem does the guide link to generating too many low-value queries?
   • Query fatigue that wears down provider trust and response quality
   • Higher case-mix index automatically
   • Faster discharge times
   • Lower coding costs
8. Which metric most directly shows whether providers find AI-generated queries clinically sound?
   • Number of charts scanned per hour
   • Server uptime
   • Total word count of queries
   • Provider agreement rate on queries