Mebot System: Intelligent Operation Theater Management

System Overview The "Mebot System" serves as an intelligent knowledge store designed for managing operation theater workflows. It leverages behavioral, contextual, and Retrieval-Augmented Generation (RAG)-enabled data to respond intelligently and logically to various user inputs. The system integrates advanced analytics to enhance operation execution, scheduling, and post-operation insights, offering a comprehensive experience through text, audio, and video avatar interactions. Key Features Operation Theater Management: Booking System: Efficient scheduling for operation theaters, managing availability and priorities. Appointment Allocation: Streamlined scheduling for surgeons, anesthetists, and support staff. Timetable Management: Automated generation of operation schedules. Checklist Management: Predefined checklists for operation preparation, execution, and follow-up. Real-Time Analytics and Reporting: Operation Summary: Detailed reports summarizing operation details and outcomes. Patient Movement Tracking: Tracks patient journey from the operation theater to the general ward. Post-Operation Treatment Management: Recommendations for recovery and follow-up care. Interactive Query Handling: Input Methods: Text and voice-based queries for system interaction. Output Modes: Responses via text, voice, or through a connected video avatar. Example Use Cases Patient: John Doe (Appendectomy) Profile: Male, 32 years, no prior health complications. Operation Workflow: Theater Booking: Booked for OT-2 on Nov 18, 2024, 9:00 AM. Staff Allocation: Surgeon: Dr. Smith; Anesthetist: Dr. Lee. Execution Summary: Procedure took 1 hour, no complications. Patient transferred to the general ward at 11:00 AM. Post-Op Treatment: Prescribed antibiotics and a 3-day follow-up. Patient: Sarah Johnson (Hip Replacement Surgery) Profile: Female, 65 years, diabetes and hypertension. Operation Workflow: Theater Booking: Scheduled for OT-3 on Nov 20, 2024, 11:00 AM. Staff Allocation: Surgeon: Dr. Brown; Anesthetist: Dr. Taylor. Execution Summary: 2.5-hour procedure, managed sugar levels during surgery. Transferred to the recovery room by 2:30 PM. Post-Op Treatment: Pain management and physiotherapy advised. Patient: Michael Lee (Coronary Bypass Surgery) Profile: Male, 54 years, history of heart disease. Operation Workflow: Theater Booking: Reserved for OT-1 on Nov 15, 2024, 8:00 AM. Staff Allocation: Surgeon: Dr. Green; Anesthetist: Dr. Patel. Execution Summary: 4-hour surgery, successful grafts applied. ICU observation for 24 hours before general ward transfer. Post-Op Treatment: Cardiac rehabilitation and dietary modifications. Patient: Emma Clark (Cesarean Section) Profile: Female, 28 years, high-risk pregnancy. Operation Workflow: Theater Booking: Scheduled for OT-4 on Nov 22, 2024, 6:00 AM. Staff Allocation: Surgeon: Dr. Wilson; Anesthetist: Dr. Chen. Execution Summary: 90-minute operation, healthy baby delivered. Mother and child moved to maternity ward. Post-Op Treatment: Lactation counseling and wound care. Operational Flow Example Query Handling: User: “When is the next available slot for Dr. Smith?” System: “Dr. Smith is available in OT-2 at 3:00 PM on Nov 21, 2024.” Report Generation: User: “Summarize the last operation performed in OT-1.” System: “The last operation in OT-1 was a Coronary Bypass Surgery for Michael Lee. Duration: 4 hours. Outcome: Successful. The patient is now in the general ward.” Behavioral Insights: User: “What is the most common issue during hip replacements?” System: “Data indicates post-operative infection rates as the most common issue in hip replacements. Implementing enhanced sterilization protocols is advised.”