By using advanced machine learning techniques, it’s possible to provide more accurate alarm parameters, as well as early warning alerts by patient category, or even individual patient. This information can also be used along with other key data inputs to provide an overall measure of clinician workload. In concert, these tools can be used to reduce (unnecessary) alarms, orchestrate staffing, track employee health, and improve patient outcomes.
An intuitive interface to manage your patients while gaining a better understanding of threshold adjustments to optimize your care.
See real-time analytics of patients, nurses, and alarms by shift, by the individual, and by the bed to understand the health of your staff and their patients.
Advanced analytics take into consideration the myriad of inputs from patient care.
Understand what’s happening across your department today, vs. last shift, vs. last week, or month over month. Plan annual and quarterly reviews to ensure your protocols and performance are dialed in.
Get a real-time sense of your operational maturity across your entire health system. Compare and set benchmarks across each department.
Receiving and interpreting real-time vital sign signals and EMR data, CalmWave helps reduce non-actionable alarms, drives greater fidelity in patient acuity and early warning scoring, and generates an objective measure of staff’s operational health to prevent burnout.
To achieve this, CalmWave deploys technology along with an expert services team that focus on the following:
