The first part of the presentation will provide an overview of the robots currently being used in Tin Shui Wai Hospital (TSWH), and how the service robots enhance overall operation effectiveness.
Service robots have widely been used in healthcare setting in some countries. They can be used to deliver heavy goods, to clean hospital facilities, or to perform supporting activities. With the assistance from robots, manpower can be redeployed to other duties which are more complicated and skill-intensive.
With supports from the Government and Hospital Authority, TSWH has acquired 4 different types of service robot to handle a spectrum of tasks in hospital support services. To illustrate the practicality, the presentation will introduce the roadmap of automation in linen supply, from linen cart exchange, to ad-hoc linen replenishment request. The robot can run automatically according to the pre-set schedule, or can be activated by specified signals from AI-camera, to exchange linen carts on round the clock basis.
Unsurprisingly, the introduction of service robots in hospitals has become a trend worldwide, and the trial in TSWH demonstrates the feasibility of future service enhancements and opportunities in Hong Kong.
In the second part of the presentation, we will move on to elucidate how interconnectivity and process automation could be brought about by the smart initiatives in the Operating Theatre in TSWH.
Building on the existing cluster-based infrastructures for the Anaesthetic Clinical Information System (ACIS) in NTWC, a variety of electronic platforms have been developed to augment the perioperative experiences of patient, patient family and clinical staff.
In the presentation, we would briefly introduce how each of these systems is communicating with each other, namely AI OT Enquiry System for Patient's Family (Family Link), Specimen Auto-tracking System, Auto-notifications via HA Chat, OT Coordinating Centre and Risk Stratification Programme (RSP).
Hopefully, we could provide our audiences with an insight into our vision in leading Internet of Things to clinical effectiveness.
