Examples of a module for housing unrelated electronic and electromechanical equipment for use during surgery. The module can include a lower section and a tower-like upper section. The lower section can house unrelated electronic and electromechanical equipment. The tower-like upper section can be located on top of the lower section. A water-resistant cowling can enclose at least a portion of the lower section and the tower-like upper section. A cartridge containing one or more ultraviolet-C producing lights can be protectively housed within the tower-like upper section. The cartridge containing one or more ultraviolet-C producing lights can be configured to emerge upward from a top of the tower-like upper section to substantially seat itself on the top of the tower-like upper section when activated allowing the ultraviolet-C light to disinfect the patient and staff-contacting upper surfaces of the equipment in the operating room.

Systems and methods for adjusting bone cut positioning are disclosed that can aid in optimizing implant size selection and positioning relative to bone during, e.g., orthopedic surgical procedures such as knee arthroplasty, hip arthroplasty, etc. In one embodiment, such a surgical method can include performing a first bone cut of a first bone using an at least partially robot-assisted surgical instrument, detecting one or more parameters related to bone hardness, selecting a bone hardness index based on the one or more detected parameters, and adjusting a position of a second bone cut of the first bone based on the selected bone hardness index to optimize implant fit relative to bone. Detecting the one or more parameters related to bone hardness can be performed in a number of manners, including by monitoring energy required to perform the first bone cut.

Provided are systems and methods for location sensor-based branch prediction. In one aspect, the method includes determining a first orientation of an instrument based on first location data generated by a set of one or more location sensors for the instrument and determining a second orientation of the instrument at a second time based on second location data. A distal end of the instrument is located within a first segment of a model at the first time and the second time and the first segment branches into two or more child segments. The method also includes determining data indicative of a difference between the first orientation and the second orientation and determining a prediction that the instrument will advance into a first one of the child segments based on the data indicative of the difference.

A medical workstation mounting apparatus comprises an elongate body with front and rear faces and configured for attachment to a shelf of a medical workstation. The apparatus has a length, a depth, and a thickness which is the distance between the front and rear faces. A plurality of accessory receivers extend from the body. Each receiver comprises a pair of arms with a channel between them configured to receive a hook of an accessory. The maximum thickness of the apparatus is less than its maximum depth to ensure a slim profile and compact shape.

A collection system for collecting outflow from a hysteroscopic surgical procedure includes a plurality of collection vessels each including a flexible body defining an internal volume and transitionable between a collapsed configuration and an expanded configuration. The collection system further includes connection tubing coupling adjacent collection vessels with one another, outflow tubing coupled to at least one of the collection vessels, and a plurality of retention canisters. Each retention canister includes a rigid body. Each collection vessel is configured to engage a corresponding retention canister such that each rigid body at least partially receives one of the flexible bodies therein.

A medical platform is disclosed that can fulfill numerous functional and practical needs of patients and caregivers in a single, simple assembly. The medical platform disclosed herein can replace many of the different medical apparatuses used in a healthcare facility. The combination of features as disclosed herein can permit the medical platform to facilitate patient mobility by combining multiple commonly-used and/or required apparatuses into a single, mobile platform.

A method for integrating a medical device into a medical facility network by equipping the medical device with wireless communication device is disclosed. The medical device is provided into a medical treatment area within wireless range of the medical facility network. The medical facility network is configured to detect the medical device upon entry into the medical treatment area, and then recognize or authenticate the medical device. The medical facility network is configured to thereafter transmit an initialization signal to the medical device. A system for integrating medical devices, a medical device capable of integration, and a medical facility network are also disclosed.

A system and method is described for printing a label with an RFID tag. The system includes an RFID reader that queries a first RFID tag coupled to a first medicinal container that includes a medication. In response, the system receives a first unique identifier and uses the first unique identifier to determine a status of the medication, associate the first medicinal container with a medical provider and print a second label that includes a second RFID tag for a second medicinal container.

A trolley for medical equipment includes a base mounted on a plurality of wheels. A brake device including at least one deformable brake pad is located beneath the trolley base. A release mechanism is provided to move the brake pad between a raised position in which it is spaced above a floor surface on which the trolley wheels rest, and a lowered position in which the brake pad is pressed against the floor surface under the weight of the brake device to a exert a braking force on the trolley.

An intelligent medical material supply robot based on Internet of Things and SLAM technology is disclosed, which realizes localization and mapping through a binocular camera and a lidar. A cloud data center schedules the medical material supply robot in real time according to material usage. The material supply robot receives corresponding scheduling information, and according to localization of the robot and map information, dynamically avoids obstacles by using a path planning algorithm to go to a designated floor for materials delivery.