Internet of Things and New Technologies for Tracking Perioperative Patients With an Innovative Model for Operating...

Area of Science:

• Health Informatics
• Operations Research
• Surgical Management

Background:

• Operating room management is crucial for hospital efficiency and cost control.
• Effective resource planning is vital for reducing patient wait times and improving care.
• Surgical departments represent a significant financial investment for healthcare organizations.

Purpose of the Study:

• To develop an integrated technological-organizational model for optimizing operating block resources.
• To automatically collect data from a real surgical environment for resource management.
• To enhance the efficiency of surgical departments through data-driven insights.

Main Methods:

• Real-time patient tracking using bracelet sensors with unique identifiers.
• Software architecture to collect time spent at each stage within the surgical block.
• Ensuring patient privacy through anonymous identification after informed consent.

Main Results:

• Automated time recording is more precise than manual methods.
• Machine learning models can predict surgery duration based on patient profiles.
• Simulation tools can evaluate performance and identify efficiency improvements.

Conclusions:

• The approach enhances both short- and long-term surgical planning.
• Optimizes resource management and facilitates professional collaboration.
• Guarantees high patient care standards within an efficient healthcare system.