ACT Health goes live with real-time hospital bed tracking

Bed management and capacity planning is a crucial part of Australia’s preparation for accumulating cases of COVID-19. For this reason, ACT Health has partnered with Australian health informatics company Alcidion to gain real-time visibility of patient flow and bed allocation.

ACT Health will implement Alcidion’s technologies — Miya Precision, Patientrack and Smartpage — at Canberra Hospital and The University of Canberra Hospital, covering more than 600 beds. Using Alcidion’s platform, the hospitals will have a site-wide view of their patient flow to ensure clinicians are aware of the current patient and bed status to optimise care.

Graphic dashboards based on smart technology will support proactive patient management, while coordinated online bed management will contribute to patient flow and align allocations so patients receive optimal care.

Miya Precision will ensure clinicians are aware of the current patient and bed status, improving communication and visibility of patient flow across the health service to streamline patient stays.

“The management of the patient’s journey through digital future-ready technology is a core component of our Digital Health Strategy,” ACT Health CIO Peter O’Halloran said.

Alcidion Managing Director Kate Quirke said, “This is a significant milestone in our longstanding and productive relationship with ACT Health. We are excited to continue our collaborative engagement to improve clinical workflows and patient outcomes, and Miya Precision will further this by providing ACT Health with access to real-time information that will directly contribute to improved patient care.”

Some of the benefits that ACT Health is aiming to realise through the implementation include:

• improved patient experience
• improved platform for real-time staff collaboration
• easier access to current status details during rounding and handover
• expected reduction in average length of stay with proactive discharge management
• reduced number of patient transfers and outliers through digital bed allocation.
   

Image credit: ©stock.adobe.com/au/sudok 1