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Clinical decision support system

The Ascom CDSS solution is a rule-based engine that gives clinicians up-to-date data they need in order to make early interventions or other actions. Once a patient’s vitals exceed pre-set values, the CDSS alerts relevant clinicians of possible patient deterioration. Clinicians can then forward the alert to colleagues and initiate and manage emergency responses. The CDSS also supports various rule-based scoring: Early Warning Scores, Aldrete scoring, etc.

Clinician IT professional Hospital manager
Manned nurse station with patient in the background.
38%
reduction in pneumonia mortality achieved in hospitals with help of a Clinical Decision Support System (14)

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.

Two doctors discussing in the foreground with three doctors having a discussion in blurred background

From reactive to proactive care

Early detection of patient deterioration can lead to earlier intervention. Ascom’s clinical decision support system aggregates multiple data streams and collects the right information to alert you at the right time. As well as giving you an easy-to-use interface to help tailor best practice rules to fit at-risk patient needs—and then notify the right individuals and care teams via dashboards and mobiles to help them act promptly. 

A male nurse with a patient in the background

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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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.

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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.

Blurred detail of patient resting in bed with vitals monitor in the foreground

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 the facility from specialist clinics to entire health systems.

Ascom Healthcare Platform highlights

Interoperable

Vendor-neutral, interoperable with existing and planned medical devices and communication system

Empower clinicians

Clinicians get the context-rich, near-real time data they need to make the better care decisions.

Patient outcomes

Fast, targeted, informed responses by the right people at the right time can have a significant positive impact on patient satisfaction and recovery. 

Quieter workplaces

Filtered alerting and messaging helps improve productivity and staff morale. Calmer environments can enhance staff satisfaction.

Scalable

Adapts to meet changing needs. Scalable from an on-site system for a single department/ward, up to mult-site, multi-organization solutions.

Worldwide support

From initial planning with Ascom clinical consultants to installation and solution lifecycle support and training.

Want to learn more about the Ascom Healthcare Platform?

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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
Natalie Forrest
Chief Executive Office and Chief Nursing Officer, Chase Farm Hospital, UK

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 multi-professional 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
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Clinical decision support system
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Implementation and training
Support and maintenance

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https://www.ascom.com/customer-stories/chase-farm-customer-story/

https://www.ascom.com/customer-stories/chase-farm-customer-story/

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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