BigBearAI.SimServices.Domains.OperatingRooms 1.0.90

SimServices.Domains.OperatingRooms

Overview

This library contains objects for the Operating Rooms modeling domain that can be used to interact with the ProModel.ai API. It provides a specialized set of classes and components for defining and configuring discrete event simulation models focused on operating room scheduling and management.

Purpose

The Operating Rooms domain library enables developers to programmatically create, configure, and manage simulation models for healthcare operating room operations. It serves as the primary interface for building simulation models that can be executed through the ProModel.ai API, allowing for the modeling of complex surgical scheduling systems with cases, operating rooms, surgeons, anesthesiologists, nurses, and various operational constraints.

Key Components

Core Model Components

• Model: The root container that defines baseline constructs and options necessary to model an operating room system from which various scenarios can be simulated. It includes configuration for simulation timing, wait time limits by urgency, bed availability, schedules, and all model components.

• Case: Defines a surgical operation event to be performed on a patient. Cases include patient information, scheduling details, urgency levels, service requirements, surgeon assignments, anesthesia requirements, and post-operative destinations.

• Suite: Defines a collection of operating rooms organized together, typically representing a physical or logical grouping of surgical facilities.

• OpRoom: Defines an individual operating room within a Suite. Operating rooms have roles that determine what types of cases they can accommodate and schedules that define their availability.

• Service: Defines a medical service or specialty that cases belong to, helping organize and categorize surgical procedures.

• Surgeon: Defines a surgeon resource that can be assigned to cases, with schedules and availability constraints.

• Anesthesiologist: Defines an anesthesiologist resource that can be assigned to cases based on anesthesia requirements.

• Nurse: Defines nursing staff resources that can be assigned to cases, with different roles and availability.

• Bay: Defines pre-operative and post-operative bay areas where patients wait before and after surgery.

Supporting Components

• Schedules: Support for daily, weekly, and recurrent schedules that control the availability of operating rooms, surgeons, anesthesiologists, and nurses.

• EmergentCaseDay: Defines special handling for emergent cases on specific days, allowing for different scheduling rules and priorities.

• CommonProcessingElements: Shared processing logic and configurations used across cases.

• Statistics & Output: Comprehensive statistics collection for cases, operating rooms, surgeons, anesthesiologists, nurses, and bays, with configurable output settings.

Target Framework

• .NET Standard 2.0

Usage

This library is designed to be used as a dependency when building operating room simulation models programmatically. Models created using these classes can be serialized and sent to the ProModel.ai API for execution, enabling analysis of surgical scheduling efficiency, resource utilization, wait times, and operational bottlenecks.

Documentation

For detailed documentation on specific components and features, refer to the XML documentation comments in the source code, which are generated as part of the build process.