CHF: AI Nurse holds the key to patients’ hearts (and your CFO)

Example Protocols

Protocol: Pre/Post Surgery (Hospital Managed)

• 90-day monitoring with focus on Symptom Checker: every 4 days for 60 days, then every 8 days.
• 90-day monitoring how patients are feeling relative to last few days; every 4 days for 60 days, then every 8 days.
• 1 lifestyle advice every 4 days (less salt, smoking, etc)

→ Outcome: 66% reduction in re-admissions, shorter Length of Stay, strong patient feedback, reduced depression, and anxiety[7]

Protocol: Simple Monitoring in Primary Care

• Send in weight daily with thresholds notification to nurse
• Reminders if no report within 2 hours
• Request to check Symptom Checker if weight movement
• If Symptom Checker = Red, Request patient to call Primary Care + Primary Care alerted

→ Outcome: Increased patient self-management, fewer face-to-face appointments needed, high patient satisfaction[8]

Protocol: Comprehensive Monitoring in Primary Care

• As above
• Send in Daily BP, Heart Rate, and Fluid Intake
• Comprehensive Reminders

→ Outcome: Increased patient self-management, sustained weight loss, sustained feeling of connection to care[9]

Automated Connection = Time and Money Saved.

Enrolling patients is easy. Florence eases the load on clinicians by being that “somebody there” for patients, providing vital support, monitoring medication adherence, symptoms, and vital signs, reassuring with feedback, alerting clinicians when necessary.

Increased patient engagement with Florence means fewer re-admissions; in that critical 30-day post discharge period, that is 70% fewer emergency readmissions than usual care,[10] substantial savings when readmission costs vary fivefold with comorbidity and can reach $25,879 if readmission is to a different hospital.[11]

It means improved patient wellbeing scores, enhancing health ownership and reducing reliance on face-to-face appointments, with time and cost benefits of self-efficacy extending beyond the end of protocols reflected in 42% lower hospital readmission at 6 months, and patients in primary care maintaining healthy weights.

Next Gen AI Informed by Lessons Learned

Patient feedback and lessons learned have been valuable in developing our next generation AI further enhancing our AI Nurse’s management of CHF patients.

• We have incorporated a simple mood score and more wellbeing resources to enhance focus on psychological wellbeing.
• Flo AI has facilitated even more human-like clinical conversations with patients with Florence able to interpret more patient responses and tap into a configurable Knowledge Base when patients request access to further information.
• Reminders have been incorporated into all protocols reflecting the value they represent.
• We have built in medication side effects reporting to reflect the greater focus on the effects of medication.  
• However, while patients requested more flexibility in timings and symptom reporting we have yet to change Florence in this regard as good routine is important. On our roadmap, we are looking to enable Florence to cater for further patient preferences while ensuring consistency of data and highest clinical guidelines. 

The future of CHF Care Management: AI reduces readmissions and saves staff time 

The future may be closer than you think.  With Florence you have effective Automated Care Management offering 24/7 support that reduces readmissions, and staff workload and improves quality metrics all at a fraction of the cost of human care. Easy for clinicians to implement, simple and accessible for CHF patients to use; one 90-year-old patient pleaded with his clinician “Please don’t take this away from me,” Florence does indeed hold the key.

See how you too can improve life quality for your CHF patients and reduce ACSC hospitalizations.