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Clinical Surveillance

May 19, 2022

How Surveillance-Level Data Monitoring Supports Safer Care in Hospitals Despite Staffing Challenges

by John R. Zaleski

Having access to live, streaming, surveillance-level data better prepares medical response teams to deliver care and possibly prevent emergencies in the first place.

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March 16, 2022

Patient Monitoring vs. Clinical Surveillance: There are Differences

by John R. Zaleski

Patient monitoring and clinical surveillance, though related, are different. Clinical surveillance uses the results of monitoring to recognize changes in the patient’s clinical status, interpret the potential clinical implications of these changes, and to help clinicians decide if further actions are required.

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September 15, 2021

Lessons Learned from a Fully Remote Services Model

by Peter Bjornholm, Rebecca Dalton and Edith Gillet

Capsule technical and clinical consultants continually optimize remote service delivery to support healthcare providers in deploying, implementing, and maintaining integration and data solutions.

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Ventilated COVID-19 Patients
June 24, 2021

Observations of High-pressure and Rapid Shallow Breathing in Mechanically Ventilated COVID-19 Patients: An Interim Assessment

by Jessica Serrao and John Zaleski

An ongoing study shows that combination smart alerts derived from medical device data can help to identify clinically actionable events.

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Smart-Alerts
May 11, 2021

Smart Alert: A Harbinger of Adverse Events in Critical Care Settings

by Jessica Serrao

Contextualized surveillance smart alerts support patient safety and clinician satisfaction by helping identify emergent clinically actionable events and reducing alarm fatigue.

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Patient Transport
May 6, 2021

Adverse Events Can Happen Anywhere, Anytime, Including Patient Transport

by Halley Herndon and Cathleen Olguin

Healthcare organizations efficiently harness valuable waveform data for clinical research, utilizing advanced integration technology to capture waveforms from medical devices and tailor the data to the requirements of downstream systems such as analytics applications and research databases.

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