An advanced nurse call solution that is interoperable with your existing systems and infrastructure. It features a platform of smartphones, feature phones, bedside devices and software. Ascom’s smart nurse call system integrates with EPRs, RTLS and third-party systems. Highly scalable, the solution is used and trusted in countless hospitals worldwide.
Vendor-neutral, interoperable with existing and planned medical devices and communication systems.
Clinicians get context-rich, near-real-time data that is needed to make better care decisions.
Fast, targeted and informed responses by the right people at the right time can have a significant positive impact on patient satisfaction and recovery.
Filtered alerting and messaging helps improve productivity and staff morale. Calmer environments can also enhance staff satisfaction.
Our solutions adapt to meet changing needs. They are scalable from an on-site system for a single department/ward, through to a multi-site hospital.
From initial planning with Ascom Clinical Consultants through to installation, solution lifecycle support and training.
Crucially, the technology development work was done by clinicians instead of to clinicians. It meant we had genuine engagement with nurses and other stakeholders as we carefully planned the hospital from the start – taking in the views of estates, IT, domestic staff, porters, admin, allied health and medical staff
Why Singapore's Sengkang Hospitals chose Ascom Telligence, and moved beyond traditional nurse care to achieve a true patient response system.
The new Tyks Lighthouse Hospital in Turku, Finland, will receive its first patients at the start of 2022. Focus on patients is one of the principal values of the hospital and its translation into practice is ensured through functional planning and multiprofessional collaboration.
Journal of healthcare protection management: publication of the International Association for Hospital Security 26(1):81-99 DOI:10.1097/NNA.0b013e3181ae97db
Joint Commission Center for Transforming Healthcare Releases Targeted Solutions Tool for Hand-Off Communications. Joint Commission Perspectives. August 2012, Volume 32, Issue 8.
Factors associated with delayed rapid response team activation.Reardon, Peter M; Fernando, Shannon M; Murphy, Kyle; Rosenberg, Erin; Kyeremanteng, Kwadwo. Journal of critical care, 2018-08, Vol.46, p.73-78
Standards of Obstetric-Gynaecologic Services. 7th ed. Washington, DC: ACOG; 1989. American College of Obstetricians and Gynaecologist; p. 39.
Colliver, Victoria; Kaul, Greta; Allday, Erin. Medical equipment generates millions of alerts, 'alarm fatigue.' SFGate,12 November 2014.
Hospital Inpatient Falls across Clinical Departments. Mikos, Marcin; Banas, Tomasz; Czerw, Aleksandra; Banas, Bartłomiej; Strzępek, Łukasz; Curyło, Mateusz. International journal of environmental research and public health, 2021-08-02, Vol.18 (15), p.8167
WHO noise levels: Falk SA, Woods N. Hospital noise: levels and potential health hazards. The New England Journal of Medicine. 1973;289:774–81.
Ryherd EE, Waye KP, Ljungkvist L. Characterizing noise and perceived work environment in a neurological intensive care unit. J Acoust Soc Am. 2008;123(2):747-756.
A Pragmatic, Stepped-Wedge, Cluster-controlled Clinical Trial of Real-Time Pneumonia Clinical Decision Support, Nathan C. Dean, Caroline G. Vines, Jason R. Carr, Jenna G. Rubin, Brandon J. Webb, Jason R. Jacobs, Allison M. Butler, Jaehoon Lee, Al R. Jephson, Nathan Jenson , Missy Walker, Samuel M. Brown, Jeremy A. Irvin, Matthew P. Lungren, Todd L. Allen. American Journal of Respiratory and Critical Care Medicine, https://doi.org/10.1164/rccm.202109-2092OC
An overview of clinical decision support systems: benefits, risks, and strategies for success. Reed T. Sutton, David Pincock, Daniel C. Baumgart, Daniel C. Sadowski, Richard N. Fedorak and Karen I. Kroeker. npj Digital Medicine (2020) 3:17; https://doi.org/10.1038/s41746-020-0221-y
National Library of Medicine (2013) An investigation of sound levels on intensive care units with reference to the WHO guidelines. [online] Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4056361/#:~:text=Patients%20in%20intensive%20care%20units%20%28ICUs%29%20suffer%20from,dB%20with%20a%20maximum%20of%2040%20dB%20overnight