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Reimagining Recovery: How Extended Ambulatory Models and Patient Hotels are Changing the Outpatient Surgical Paradigm
Kara M Barnett1, Sonia Pyne2, Hanae Tokita3
1Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, Middletown, NJ, USA.
Ambulatory extended recovery facilities offer a safe alternative care setting for complex procedures. Structured recovery pathways are key to rapid patient healing and program success.
Area of Science:
- Healthcare Management
- Surgical Care Innovation
- Patient Recovery Models
Background:
- Ambulatory extended recovery facilities provide an alternative care setting for complex patients and procedures, accommodating 1-night stays.
- These facilities offer a step-up in care compared to traditional same-day surgery centers.
- Structured extended recovery after surgery (ERAS) pathways are central to ensuring rapid and safe patient recovery.
Purpose of the Study:
- To outline the critical components and considerations for establishing and operating ambulatory extended recovery facilities.
- To explore the patient hotel model as an emerging alternative for fostering patient independence during recovery.
- To identify future directions for optimizing these innovative care models through technology integration.
Main Methods:
- Review of key considerations for patient and procedure selection.
- Assessment of necessary on-site resources and emergency preparedness protocols.
- Examination of quality monitoring, improvement strategies, and regulatory compliance.
Main Results:
- Successful implementation requires careful patient/procedure selection, robust on-site resources, and emergency readiness.
- Continuous quality monitoring and adherence to regulations are crucial for safe and effective care.
- The patient hotel model emerges as a viable option promoting patient autonomy in recovery.
Conclusions:
- Ambulatory extended recovery facilities represent a significant advancement in post-operative care settings.
- Structured recovery pathways, alongside careful planning and resource allocation, are essential for success.
- Future integration of AI and machine learning holds promise for further optimizing these innovative recovery models.
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