Philips is Only Vendor to Earn Two Prestigious KLAS Awards for Cardiology Technologies

Royal Philips ElectronicsRoyal Philips Electronics (NYSE: PHG, AEX: PHI) was recently recognized in the 2007 Top 20 Year End Best in KLAS Awards report. KLAS, an independent research firm specializing in monitoring and reporting performance of healthcare information technology (HIT) vendors, announced that Philips Xcelera, a cardiovascular image management, analysis and reporting solution, was named the KLAS General Market Software Category Leader for Cardiology Reporting & Documentation. Moreover, for the third consecutive year, Philips Series IV physiomonitoring and information system was recognized as the General Market Software Category Leader for Cardiology Hemodynamics. No other vendor earned two KLAS awards for cardiology technologies.

Philips Series IV is the DNA of the new Philips Xper Information Management catheterization (cath) lab workflow solution that was introduced last year. While naming the Series IV "Category Leader" for three straight years highlights Philips' strength in the cath lab, earning both hemodynamic and reporting awards demonstrates Philips' market leadership throughout the cardiovascular continuum of care.

"This prestigious recognition for Philips cardiology technology is both flattering and affirming," said Bruce Reese, general manager, Interventional Patient Care for Philips Healthcare. "Xcelera helps to solve organization and workflow challenges, as it brings advanced clinical tools from multiple imaging modalities onto one centralized platform to foster clinical collaboration when diagnosing patients. When combined with Xper Information Management's hemodynamic monitoring and cath lab information management features, Philips offers customers proven innovations to meet their evolving cardiovascular IT needs. Plus, we are supporting these solutions with world class customer service."

Philips' KLAS ratings are published in the Top 20: 2007 Year-End Best in KLAS report. This report reflects the summary of HIT software, services and medical equipment performance data as reported by physician offices, clinics, IDNs, inpatient facilities and applicable healthcare agencies. Each product or service is categorized into a market segment where similar products and services are compared and ranked against one another. HIT software and medical equipment scores represent performance data collected over 13 months (October 15, 2006 – November 15, 2007). To learn more about the 2007 Top 20 Year-End Best in KLAS report, visit www.KLASresearch.com.

The KLAS awards will be formally presented at the 2008 Healthcare Information Management Systems Society (HIMSS) annual conference and exhibition in Orlando, Florida, February 25 – February 28.

KLAS publications excerpted here are republished with the permission of the copyright holder.

About Royal Philips Electronics
Royal Philips Electronics of the Netherlands (NYSE: PHG, AEX: PHI) is a global leader in healthcare, lighting and consumer lifestyle, delivering people-centric, innovative products, services and solutions through the brand promise of "sense and simplicity". Headquartered in the Netherlands, Philips employs approximately 123,800 employees in more than 60 countries worldwide. With sales of EUR 27 billion in 2007, the company is a market leader in medical diagnostic imaging and patient monitoring systems, energy efficient lighting solutions, as well as lifestyle solutions for personal wellbeing. News from Philips is located at www.philips.com/newscenter.

Most Popular Now

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...