Philips Strengthens Sleep Diagnostic Portfolio through the Acquisition of Auto-Scoring Business

Royal Philips ElectronicsRoyal Philips Electronics (AEX: PHI, NYSE: PHG) has acquired the Somnolyzer 24 x 7 automated scoring solutions business of the Siesta Group in Vienna. This FDA-cleared solution will help improve the productivity of sleep centers and is based on the most advanced and clinically validated automated-scoring technology on the market. The Siesta Group is a research and clinical software company specializing in polysomnography scoring* solutions for sleep centers. The acquired business will become part of the sleep diagnostics business within Philips Home Healthcare Solutions. Financial details of the agreement were not disclosed.

"With increasing demand for sleep disorder tests, sleep centers, physicians and technicians need tools and services that offer improved scoring consistency and efficiency; enabling them to focus on those parts of the sleep study and other activities that require their professional expertise," said Don Spence, CEO of Philips Home Healthcare Solutions. "The Somnolyzer 24 x 7 solution is a strategically valuable addition to Philips' sleep diagnostic portfolio which will enable us to offer improved sleep lab productivity and further drive growth of sleep diagnostics for our customers and our business."

Sleep diagnostic testing is expected to continue to grow in the next few years with increasing global awareness of sleep disorders such as Obstructive Sleep Apnea (OSA). In developed markets, automated scoring technology represents an opportunity to improve the productivity of sleep centers. This automated scoring technology can also enable sleep centers in emerging markets to cope with the challenges of increasing demand for sleep diagnostic testing and the scarcity of sleep specialists.

The acquisition of the auto-scoring business of the Siesta Group will further reinforce Philips' leadership in the strategic growth area of home healthcare, sustaining Philips' expansion in the sleep diagnostics and OSA therapy markets globally.

The research and clinical trial services business, which are not part of the acquisition, will be retained and continue under the Siesta Group based in Vienna.

Related news articles:

About Royal Philips Electronics
Royal Philips Electronics of the Netherlands (NYSE: PHG, AEX: PHI) is a diversified Health and Well-being company, focused on improving people's lives through timely innovations. As a world leader in healthcare, lifestyle and lighting, Philips integrates technologies and design into people-centric solutions, based on fundamental customer insights and the brand promise of "sense and simplicity". Headquartered in the Netherlands, Philips employs approximately 116,000 employees in more than 60 countries worldwide. With sales of EUR 23 billion in 2009, the company is a market leader in cardiac care, acute care and home healthcare, energy efficient lighting solutions and new lighting applications, as well as lifestyle products for personal well-being and pleasure with strong leadership positions in flat TV, male shaving and grooming, portable entertainment and oral healthcare. News from Philips is located at www.philips.com/newscenter.

* Polysomnography (PSG), also known as a sleep study, is a comprehensive recording of brain waves, eye movements, muscle activity, heart rhythm and breathing during sleep, used as a diagnostic tool in sleep medicine.

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...