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Clinician

The Ascom Healthcare Platform has clinicians’ insights built into its very DNA. Each of its seven solutions has been designed in close cooperation with frontline caregivers. And to keep the solutions optimized, we’re continuously gathering clinicians’ feedback. Using it to refine the solutions, as well as our worldwide training and support programs.

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Workplace and staff safety Care coordination Response teams management Smart nurse call systems Clinical monitoring and alarm management Silent medical alarms Clinical decision support system
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38%
reduction in pneumonia mortality achieved in hospitals with help of a Clinical Decision Support System (12)

The Ascom clinical decision support system (CDSS) is a rules-based engine. It continuously receives data from multiple devices and departments. And when pre-defined criteria are met, it transmits alerts—together with near-real time clinical data—to clinicians’ handsets and/or dashboards.

$717,538
the annual saving achieved by a Clinical Decision Support System at a pediatric cardiovascular ICU (13)

The Ascom CDSS warns clinicians of possible patient deterioration—enabling prompt intervention, with long-term cost and outcome benefits. 

Harness data to help reduce LOS and adverse events

The early interventions made possible by a CDSS solution can help reduce the length-of-stay of some patients, as well as the frequency and severity of adverse events. That’s obviously good for patients and clinicians—and great if you’re looking to control costs while simultaneously striving for better outcomes.

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Data from multiple sources. Displayed on multiple platforms

Alerts and their associated clinical data can be displayed on smartphones, tablets, wall-mounted dashboards or on PC monitors. So wherever they are in a facility, assigned caregivers always have the data they need to make evidence-based interventions.

Sant Joan de Déu Children’s Hospital

See how an Ascom solution helps clinicians at Barcelona’s Sant Joan de Déu Children’s Hospital monitor and proactively care for patients.

Medical device integration

Ascom clinical communication and collaboration systems are interoperable with infusion pumps, ventilators and other medical devices. And as our solutions are modular, it’s easy to scale them for every size of facility from specialist clinics to entire health systems.

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Crucially, the technology development work was done by 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.
Natalie Forrest
Chief Executive Officer and Chief Nursing Officer, Chase Farm Hospital, UK

Interoperable. And always will be

Ascom solutions are interoperable and vendor-neutral—and always will be. This means your Ascom solution will work with your existing and/or planned medical devices and clinical IT systems.

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Maximize your solution’s return. By using the people who built it

All Ascom clinical communication and collaboration solutions are backed by worldwide post-installation services. These include remote monitoring, on-site support, express device replacement, and customized live and/or online training—services that protect your investment and help maximize solution uptime.

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What customers say

Sengkang Hospitals, Singapore

Why Singapore's Sengkang Hospitals chose Ascom Telligence, and moved beyond traditional nurse care to achieve a true patient response system.

Hospital
Tyks Lighthouse hospital, Finland

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.

Hospital
Slingeland Hospital, Netherlands

Agile solutions in a healthcare crisis: learn how Ascom worked with a hospital to devise a patient-monitoring system for EWS calculation.

Hospital
See all customer stories

Related pages

Mobile devices
Nurse call and monitoring systems
Software

Support and training

Consulting services
Implementation and training
Support and maintenance

https://www.nursingtimes.net/news/coronavirus/global-increase-in-violence-against-nurses-since-pandemic-21-07-2022/

Journal of healthcare protection management: publication of the International Association for Hospital Security 26(1):81-99  DOI:10.1097/NNA.0b013e3181ae97db 

https://www.who.int/activities/preventing-violence-against-health-workers

Joint Commission Center for Transforming Healthcare Releases Targeted Solutions Tool for Hand-Off Communications. Joint Commission Perspectives. August 2012, Volume 32, Issue 8.

https://www.healthitoutcomes.com/doc/healthcare-miscommunication-costs-lives-and-billion-0001

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

Noise in hospital rooms and sleep disturbance in hospitalized medical patients. Park, Marn Joon; Yoo, Jee Hee; Cho, Byung Wook; Kim, Ki Tae; Jeong, Woo-Chul; Ha, Mina. Environmental health and toxicology. Eht, 2014, Vol.29 (29), p.6.1-6.6

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 

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