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
Sign In
Advertise with Us

Download Mobile App




ML Tool Alerts Doctors to Patients’ Deteriorating Condition 2-8 Hours in Advance

By HospiMedica International staff writers
Posted on 02 Sep 2022
Print article
Image: Early warning deterioration alerts can be set to monitor patients two to eight hours before they are triggered by current clinical criteria (Photo courtesy of Pexels)
Image: Early warning deterioration alerts can be set to monitor patients two to eight hours before they are triggered by current clinical criteria (Photo courtesy of Pexels)

With the massive amount of data in electronic medical records (EMRs) comes the potential for better patient care. For example, the information from the data can be used to help medical staff make decisions that can prevent a patient’s deterioration from adverse events and acute illness. Up until recently, and still in some hospitals, patient data was not available electronically, restricting the capacity to develop digital tools to benefit from it. Now, a study to develop a machine learning tool which provides an early warning to medical professionals of a patient’s deteriorating condition has shown that the early warning deterioration alerts can be set to monitor patients two to eight hours before they are triggered by current clinical criteria.

The machine learning tool developed by scientists from the Commonwealth Scientific and Industrial Research Organization (CSIRO, Canberra, Australia), Australia's national science agency, will allow medical professionals to now use the data contained in EMRs to predict when a patient’s vital signs such as blood pressure or temperature are likely to reach a danger zone, triggering patient decline. The CSIRO scientists are now in discussion with partners for a clinical trial to explore how the alerts work and how they can be best implemented into clinical workflows.

“Until now there hasn’t been a way to harness all the data in the EMR to predict patient health. This new tool has the potential to transform the day-to-day functioning of health systems,” said CSIRO scientist Dr. Sankalp Khanna. “When applied to a test cohort of 18,648 patient records, the tool achieved 100% for prediction windows two to eight hours in advance for patients that were identified at 95%, 85% and 70% risk of deterioration.”

“Our scientists hold expertise in transforming data into useable information to help guide clinical choices. The new tool also sets out the reasons for the warning, which can guide the choice of intervention,” added Dr. Khanna “The alerts warn medical staff when a patient is at risk of deterioration leading to possible death, cardiac arrest, or unplanned admission to ICU. The tool can notify of the need for clinical intervention. Clinical decision support tools such as these are a pre-emptive solution that can provide medical staff with an opportunity to intervene earlier to prevent adverse patient outcomes.”

Related Links:
CSIRO 

Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
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)
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Digital Radiography Generator
meX+20BT lite

Print article

Channels

Surgical Techniques

view channel
Image: NTT and Olympus have begun the world\'s first joint demonstration experiment of a cloud endoscopy system (Photo courtesy of Olympus)

Cloud Endoscopy System Enables Real-Time Image Processing on the Cloud

Endoscopes, which are flexible tubes inserted into the body's natural openings for internal examination and biopsy collection, are becoming increasingly vital in medical diagnostics. Their minimal invasiveness... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... 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 PATHFAST hs-cTnI-II high-sensitivity troponin assay has been developed for the PATHFAST Biomarker Analyzer (Photo courtesy of Polymedco)

POC Myocardial Infarction Test Delivers Results in 17 Minutes

Chest pain is the second leading cause of emergency department (ED) visits by adults in the United States, generating over 7 million visits annually. In the event of a suspected heart attack, physicians... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.