In a data-rich environment, the most crucial signs may go unnoticed.

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.


Data Coordination is Challenging
74
%
of nurses reported that the coordination of data collected by medical devices is burdensome 3
High Rate of False Positive Alarms
90
%
of all alarms in critical-care monitoring are false positives 4
Patient Experience Affected by Alarms
18
%
of bedside clinicians reported patients experiencing adverse events related to alarms at their institutions 5

CRITICAL CARE IS DATA RICH AND INSIGHT POOR.

  • Dozens of monitoring devices, each generating enormous amounts of siloed data
  • This data is complex and dynamic, requiring a high degree of integration and context to be interpreted effectively
  • Lack of timely, evidence-based decision support and guidance
  • The problem is aggravated by the sheer volume of alarms, which can distract and overwhelm caregivers

The right data at precisely the right time.

  • More relevant and timely clinical insights through aggregation, normalization and visualization of virtually all device data across departments
  • Improved efficiency and reduced data latency by streamlining capture and documentation
  • Smarter alarms through data that is tailored to the unique needs of an alarm management solution

Greater patient knowledge, better patient care.

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.

Axon

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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Neuron

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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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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Insights & Events

Catch up on the latest from Capsule

06 JUN 2019

Capsule Technologies, Inc. Earns MedTech Breakthrough Award

Capsule Technologies Inc. was awarded “Best Overall Medical Data Solution Provider” by MedTech Breakthrough, an independent organization that recognizes top companies, technologies and products in the global health and medical technology market.

30 JAN 2019

Vitals Plus: Flexible, clinical-friendly workflow

An all-in-one solution for monitoring and clinical documentation that combines ease of use and efficiency.

1
Data on file. Capsule 2018.
2
Jones K. Alarm fatigue a top patient safety hazard. CMAJ : Canadian Medical Association Journal. 2014;186(3):178. doi:10.1503/cmaj.109-4696.
3
Westhealth Institute. Miss Connections. A Nurses Survey on Interoperability and Patient Care. March 2015.
4
Imhoff M, Kuhls S, Gather U, et al. Smart alarms from medical devices in the OR and ICU. Best Pract Res Clin Anaesthesiol 2009;23:39–50.
5
Funk M, Clark JT, Bauld TJ, Ott JC, Cross P. Attitudes and Practices Related to Clinical Alarms. Am J Crit Care May 2014 vol. 23 no. 3 e9-e18.