AI long-term care quarterly care conference prep packet

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-healthcare-ai-long-term-care-care-conference-prep-adults

1. Which combination of information sources does the AI system use to assemble a quarterly care conference packet?

   1. Medication administration records and dietary logs exclusively
   2. MDS sections, recent nursing notes, weight and skin trends, and known family goals
   3. Only the most recent MDS assessment and physician orders
   4. Social work assessments and activity schedules only

2. A long-term care facility wants to use AI to identify residents whose care needs may have changed over the past quarter. Which task is AI specifically identified as doing well in this context?

   1. Trend analysis of weights, skin integrity, and behavioral notes
   2. Making new code status decisions for residents
   3. Deciding whether to recommend a resident for hospice
   4. Speaking with families about advance directive changes

3. After the AI assembles the one-page-per-discipline packet, what additional element is added to conclude each page?

   1. Staff rotation schedules for the coming month
   2. Three discussion questions for the family
   3. A billing summary for the resident's account
   4. A list of scheduled appointments for the next quarter

4. A family member asks the AI system to determine whether their loved one should be referred to hospice. What is the appropriate response based on the lesson?

   1. The AI should make this decision based on the data
   2. The AI cannot decide on hospice referral — this requires clinical judgment
   3. The AI will defer this decision to the physician automatically
   4. The AI can analyze trends that might inform this decision

5. Regarding advance directives, what is the specific limitation of AI in the care conference preparation process?

   1. AI automatically defers to the facility's policies on advance directives
   2. AI generates new advance directives for families
   3. AI can update advance directives based on trends
   4. AI cannot speak for the resident on advance directive changes

6. A nurse manager asks how AI should be positioned in family meetings about goals of care. Which statement best reflects AI's role?

   1. AI makes hospice, code status, and placement decisions automatically
   2. AI prepares the conversation but does not make placement decisions
   3. AI replaces the family conversation about goals of care
   4. AI finalizes care plans without family input

7. When pulling data from the Minimum Data Set (MDS) for the quarterly packet, what is the specified timeframe?

   1. The last 90 days
   2. The last 180 days
   3. The most recent 30 days
   4. The most recent calendar year

8. Which of the following is explicitly identified as something AI cannot do in the care conference preparation process?

   1. Format the packet so each discipline has a one-line update
   2. Surface unmet care plan goals from prior conferences
   3. Trend behavioral notes across the quarter
   4. Replace the family conversation about goals of care

9. What is the primary purpose of generating a one-page-per-discipline packet in the quarterly care conference workflow?

   1. To replace interdisciplinary team meetings entirely
   2. To automate all subsequent care decisions without human input
   3. To eliminate the need for family involvement in care planning
   4. To provide a concise update tailored to each discipline's needs

10. A facility administrator wonders whether AI can handle the hospice decision for an upcoming care conference. Why must this remain a human decision?

    1. Hospice referrals require clinical judgment and family input that AI cannot provide
    2. Hospice decisions are not part of quarterly care conferences
    3. The technology is not sophisticated enough yet
    4. AI lacks access to sufficient clinical data

11. The AI system is being used to analyze skin integrity trends. What specific data source does it pull from the MDS for this analysis?

    1. Wound care medication logs
    2. Surgical intervention records
    3. The skin tracker
    4. Dermatology consultation notes

12. Whose goals and preferences are incorporated into the AI-generated care conference packet?

    1. Only the insurance payer's coverage goals
    2. Only the attending physician's treatment goals
    3. The resident's and family's known goals
    4. Only the facility's operational goals

13. Once the AI has prepared the quarterly care conference packet, what is the expected next step in the process?

    1. The packet is filed and no further discussion occurs
    2. The AI implements care plan changes automatically
    3. The AI schedules follow-up appointments
    4. The family and care team have the conversation about goals of care

14. A new code status discussion is needed for a resident. Based on the lesson, which party should make this determination?

    1. The facility's AI policy guidelines
    2. The nursing staff independently
    3. The AI system based on trend analysis
    4. The family and clinical team together

15. Why is analyzing behavioral notes across the quarter valuable when preparing for a care conference?

    1. To eliminate the need for behavior documentation
    2. To replace behavioral intervention planning
    3. To automatically adjust resident medications
    4. To identify patterns and changes that may indicate unmet needs