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.
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.
The Myco 4 smartphone puts the power of the Ascom Healthcare Platform in the palm of your hand. Helping you connect everyone in your team, coordinate care more effectively and less stressfully. What’s more, it has the latest in personal alarm features so you always feel safe at work.
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.
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.
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.
See how an Ascom solution helps clinicians at Barcelona’s Sant Joan de Déu Children’s Hospital monitor and proactively care for patients.
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.
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.
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.
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