We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Continuous Monitoring Wearable Device Enables Early Detection of Patient Deterioration

By HospiMedica International staff writers
Posted on 02 Dec 2024
Print article
Image: The BioButton multi-patient wearable and biodashboard system for continuous patient monitoring has received FDA clearance (Photo courtesy of BioIntelliSense)
Image: The BioButton multi-patient wearable and biodashboard system for continuous patient monitoring has received FDA clearance (Photo courtesy of BioIntelliSense)

A continuous patient monitoring system provides a rechargeable, reusable solution for automating the collection of vital signs across various medical settings, including surgical units, specialty care areas, emergency departments, and even hospital-level care at home.

BioIntelliSense’s (Denver, CO, USA) rechargeable and reusable FDA-cleared BioButton Multi-Patient wearable along with BioDashboard clinical intelligence system empowers clinicians to detect significant changes in physiologic trends, enabling earlier interventions and improved patient outcomes. The BioButton is a multi-parameter monitoring device placed on a patient’s upper left chest upon hospital admission. This device’s extensive set of leading indicators helps identify adverse trends early, improving safety and effectiveness in patient monitoring, from the hospital to home care. The BioDashboard system uses data-driven exception management to provide automated, personalized notifications, allowing a single clinician to monitor hundreds of patients simultaneously via a configurable dashboard view, thus enabling proactive clinical decision-making.

The BioIntelliSense inpatient monitoring solution combines the BioButton wearables, charging stations, BioHub Wi-Fi gateways, BioCloud data analytics, and the BioDashboard system. This integrated approach offers a scalable model for continuous care, enhancing patient safety and improving clinical workflow by reducing the time spent on manual tasks like spot-checking vital sign measurements and documentation. This time-saving allows healthcare resources to be more effectively allocated to patients needing hands-on care. Furthermore, BioDashboard’s exception management system ensures minimal notification rates (<1 per patient per day) while maintaining high clinician engagement (99.71%), improving response times, minimizing alert fatigue, and ultimately enhancing overall patient care.

A recent large-scale study involving nearly 12,000 hospitalized patients showed that continuous, multi-parameter vital sign monitoring with the BioIntelliSense BioButton significantly improved patient outcomes. Published in the Journal of Clinical Medicine, the study, conducted over 15 months in U.S. medical-surgical units, found that the BioButton tracked vital signs like heart rate, respiratory rate, skin temperature, and activity levels, collecting up to 1,440 measurements per patient each day. In total, more than 651,000 patient-hours of data were captured, far surpassing the data obtained with traditional manual spot-checking methods. The data was securely transmitted via a BioHub Wi-Fi gateway to the BioCloud for analysis, where algorithms and rule-based notifications alerted healthcare providers to adverse vital sign trends and early signs of deterioration, on average 14.8 hours before the onset of noticeable symptoms. The results demonstrated a reduction in patient length of stay, lower alert notification rates, early clinical intervention in deterioration events, and the transformative potential of wearable medical monitoring and algorithmic analytics to enhance patient care.

“The study underscores the value of implementing continuous monitoring wearable technology, combined with algorithmic-based data analytics, in general care areas of the hospital to automate vital sign collection and to deliver clinical intelligence for actionable decision making,” said James Mault, MD, CEO and Founder of BioIntelliSense. “The BioButton system's ability to deliver timely and accurate notifications enables earlier detection of clinical deterioration and plays a critical role in proactively managing a patient’s health outcomes.”

Related Links:
BioIntelliSense

Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
New
LED Examination Lamp
Clarity 50 LED
New
Documentation System For Blood Banks
HettInfo II

Print article

Channels

Surgical Techniques

view channel
Image: The Toumai system has successfully completed over 200 human robotic telesurgery cases globally (Photo courtesy of MicroPort Medbot)

Surgical Robot System with Telesurgery Capability to Revolutionize Healthcare Delivery

Robotic telesurgery, or remote surgery, is a technique where a surgeon operates on a patient from a distance using a robot and telecommunication networks. This approach allows surgeons to conduct procedures... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.