WeSpot SecNurse: Intelligent Care sensor

Secumatic offers the WeSpot SecNurse, an innovative and new product for applications in care homes, nursing homes and hospitals. With the WeSpot SecNurse, the staff has the ability to monitor safe and reliable whether patients return to their beds within a specified time, without infringing the patients privacy.

The SecNurse sends an alarm to the existing nurse call system when the sensor detects that someone has left the bed, caused for example, by a fall or wandering. However, the SecNurse also can send this alarm after a specified time. For instance, if the patient has not returned to bed within 10 minutes. The time interval can be set according to the level of care required for each individual patient.

SecNurseThe SecNurse is easy to install, can be placed everywhere (both permanent as ambulant), is easy to integrate in each nurse call system, maintenance free, hygienic and does not need physical contact with the patient.

The camera technique used in the SecNurse is used for monitoring and interpretation within the sensor itself. No video images are provided. The only output contacts are two simple relays. The SecNurse reduces false alarms and is also a cost-efficient alternative, which offers a lot of short-term advantages for the care organisation and a positive balance on the budget at the mid-term.

For further information, please visit:
www.secumatic.nl

About Secumatic
Secumatic is a company active as a supplier to the automatic door, gate and elevator market. It brings technical excellence and innovation together in a company that is pro active, efficient and people friendly. The SecNurse is an innovative and new Secumatic product for applications in care homes, nursing homes and hospitals.

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...