📌 How Nurses Use the Daily Activity Page to Improve Patient Care

👩‍⚕️ Scenario: Identifying a Decline in Mobility

Patient: John, 78 years old, lives in an assisted living facility. He typically:

• Wakes up around 6:30 AM.
• Spends 6-7 active hours per day walking around his room and common areas..
• Uses the bathroom about 5-6 times per day.

🛠 Day 1: The First Sign of Change

Nurse Emily checks the Daily Activity Page and notices:
⚠️ John has only 2 hours of activity today instead of his usual 6-7.
⚠️ His bathroom visits dropped from 6 to 2.
⚠️ He did not go to the dining area for lunch.

📌 Emily’s Action: She checks on John and finds that he has mild dizziness and reduced appetite. She documents the findings and keeps an eye on his data the next day.

🛠 Day 2: Escalating Concern

The Daily Activity Page now shows:
⚠️ John stayed in bed until 10:30 AM—3 hours later than usual.
⚠️ He did not leave his room all day.
⚠️ Bathroom visits dropped to 1.

📌 Emily’s Action: She flags the issue to the medical team, who runs a health check. John is diagnosed with early dehydration and mild infection, which could have worsened without early intervention.

🚑 Outcome: Early Detection Prevents Hospitalization

Thanks to the Daily Activity Page alerts, John’s care team was able to:
✅ Detect unusual inactivity early.
✅ Compare with past activity data to confirm a real change.
✅ Intervene before John’s condition worsened.

📌 Takeaway: The Daily Activity Page is not just for logging movement—it’s a powerful tool that helps prevent serious health declines by identifying subtle changes in a patient’s daily routine.

📌 How a Remote Telehealth Caregiver Uses the Daily Activity Page to Prevent a Crisis

👩‍⚕️ Scenario: A Stuck-in-Bed Alert Triggers a Wellness Check

Client: Martha, 82 years old, lives alone at home and receives remote monitoring through a telehealth service. She typically:

• Wakes up around 7:00 AM.
• Spends 5-6 active hours per day, walking around her house and going outside briefly.
• Has 3-4 bathroom visits per day.
• Goes to the kitchen at least twice per day to prepare meals.

🛠 Day 1: Stuck-in-Bed Alert

At 11:00 AM, a remote caregiver, Daniel, receives an automatic “Stuck-in-Bed” alert from Martha’s monitoring system.

Daily Activity Page Data:
⚠️ Martha has been in bed for 20+ hours straight.
⚠️ No recorded bathroom visits since yesterday.
⚠️ No movement in the kitchen or other areas of the home.

📌 Daniel’s Immediate Action:

• Clicks on Martha’s name in the Daily Activity Page to check her recent trends.
• Sees that yesterday she had low activity but was still getting up periodically.
• Notices that she has not been active at all today.
• Calls Martha to check in.

📞 The Check-In Call & Response

📞 Daniel: “Hi Martha, this is Daniel from your telehealth support team. I noticed you haven’t been out of bed much today—just checking to see if you’re okay.”
😟 Martha’s Response: “Oh, I’ve been feeling weak and lightheaded since yesterday. I didn’t feel like getting up.”

📌 Daniel’s Next Steps:
✅ Asks Martha if she is experiencing any pain, dizziness, or trouble moving.
✅ Reminds her to drink water and try to sit up slowly.
✅ Calls Martha’s emergency contact (her daughter) and alerts her about the situation.
✅ Notes the issue in her Daily Notes for future follow-up.

🚑 Outcome: Early Intervention Prevents a Health Crisis

Because of the Daily Activity Page & Stuck-in-Bed Alert, Daniel was able to:
✅ Identify a problem before it became an emergency.
✅ Ensure Martha received support before dehydration or weakness worsened.
✅ Coordinate with family for a wellness check in person.