Bedside vital signs equipment and other medical devices are critical tools for clinicians, but generate a lot of unnecessary noise in the ICU. These devices are often a one-size-fits-all solution, rather than tailored to a patient’s specific needs. CalmWave determines optimized alarm settings, using each patient’s unique physiological information and advanced Transparent AI mathematical algorithms, which reduces non-actionable alarms.
Operations Health™ is an objective measurement of workload events that you can define, capture, and analyze in order to streamline your clinical operations.
Applied to Healthcare, CalmWave’s Operations Health artificial intelligence platform captures, analyzes, and synthesizes real-time data from dozens of different medical devices in order to empower hospitals with the intelligence critical to improving patient outcomes, optimizing operations, and retaining staff.
Explore how CalmWave can positively impact your team by clicking on one of the use-cases below.
An intuitive dashboard to manage your patients while gaining a better understanding of setting adjustments to optimize patient care.
See real-time analytics of patients, nurses, and alarm data. Managers will be able to view specific data per shift, per nurse, per diagnosis, seeing overall trends. This information allows the manager to support his/her staff proactively.
View at-a-glance what’s happening across your unit in-real time. Then, have the ability to compare and contrast today vs. the last shift, vs. the last week, or month-by-month. Plan annual reviews to evaluate your staff’s performance and progress. Also, have just-in-time information on your staff’s current workload, giving you the ability to support them without stress escalating.
Get a real-time sense of operational maturity across your entire health system. Compare, monitor, and set benchmarks across each department.
Advanced analytics take into consideration the myriad of inputs from patient care, leaving out no variables and you more time to focus on your patients.
By using advanced machine learning techniques, it’s possible to determine more optimal alarm parameters. This information can also be used along with other key data inputs to provide an overall measure of clinician workload.
CalmWave also uses these tools to reduce unnecessary alarms, track employee health, and improve patient outcomes.
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