Critical care is a one of the most technology-dependent, data-rich environments in the hospital. High-fidelity data in this setting is crucial in enabling early detection of deterioration and prompt clinical decision-making. With up to 2.2 million data elements1 and 770 alarms2 generated, per ICU bed, per day it’s easy to see that monitoring these variables and alarms can take a toll. Compounding this problem is the fact that clinicians aren’t always getting the data they need at the bedside, further impacting their decision-making and patient outcomes.
Capsule’s solutions gives each caregiver the precise and timely data they need to act. Our solutions aggregate and tailor data, including waveforms, to support the unique needs of downstream systems like alarm management, helping clinicians intelligently prioritize and escalate care.
Our offering takes device data management to a new level. Enabling health systems to select any or all of the rich device data collected, allowing the customization of sampling rate and format required by receiving systems. Our solution connects and tailors data for leading systems.
We simplify the process of acquiring and using data-driven insights to drive positive health outcomes.
A mobile clinical computer features built-in connectivity ports and the ability to manage data and connectivity status from multiple devices on a single display.
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A single-, four- or eight-port serial to network bridge providing robust connectivity to the EMR in crowded care areas like the ICU.
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Find out more about data management solutions from Capsule, and how they can transform mountains of device data into highly contextual clinical insight.
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Broad medical device integration allows clinicians to leverage the potential benefits of medical data, so that they can focus their efforts and attention on the patient, and not the technology.
Over the last 20+ years, industry organizations and various agencies have promoted standards and specifications to support interoperability and the secure integration, transfer and sharing of medical data between disparate devices and systems.