Technology | Analytics Software | January 04, 2017

Philips Introduces PerformanceBridge Operational Performance Improvement Software for Radiology Departments

January 4, 2017 — Philips introduced at RSNA 2016 PerformanceBridge, a new suite of performance management software and services to assist radiology departments in enhancing productivity, improving the patient experience and delivering better value-based care. PerformanceBridge supports radiology department administrators in prioritizing operational improvements in asset management, equipment uptime and utilization, peer-to-peer collaboration, accreditation compliance and practice management. 
 
Designed as a secure, cloud-based or on-premise software solution, Philips’ PerformanceBridge gives healthcare professionals access to near real-time data on departmental performance through an easy-to-use interactive dashboard. Vendor agnostic, PerformanceBridge unifies information across different imaging modalities and existing information systems. To further support continuous improvement management, Philips offers a dedicated team of application specialists to help PerformanceBridge users leverage its tools and implement performance improvement strategies based on meaningful insights provided by PerformanceBridge.
 
Lahey Hospital and Medical Center based in Burlington, Mass., is a co-development site and early adopter of one of the services of Philips’ PerformanceBridge, namely PerformanceBridge Practice.
 
“PerformanceBridge Practice has incredible promise for data-driven practice management, including exciting things such as a real local market referral pattern analysis, as well as asset and technologist utilization insights,” said Christoph Wald, M.D., Ph.D, MBA, FACR, chairman, Department of Radiology at Lahey Hospital and Medical Center and Professor of Radiology at Tufts University Medical School. “It gives us the intelligence we need to be a data-driven enterprise.”
 
The PerformanceBridge suite includes intelligent tools and personalized service options to enable health systems to drive the value of imaging: 
 
Understanding and improving imaging performance – PerformanceBridge Practice offers vendor-agnostic, deep, data-backed insights to identify opportunities and gaps within a health system. Following this assessment, Philips acts as a partner in on-going continuous improvement, providing detailed benchmarking and insights to help achieve productivity gains.

Managing radiation dose – Philips’ dose management software platform, DoseWise Portal, enables healthcare providers to record, track and analyze the radiation exposure of patients and clinicians. Imaging managers have access to information about patient radiation exposure to make data-informed decisions to ensure safe optimized levels and adherence to industry regulations. 

Participating in knowledge sharing – Through Philips’ NetForum community, clinicians have access to a cloud-based peer-to-peer network, where members can access benchmarking data, case studies and educational information to aid in knowledge sharing and facilitate learning. 

Proactively addressing equipment issues – PerformanceBridge’s services analytics infrastructure integrates input from 24 different data sources into one consolidated database with more than 40 proactive data analytics algorithms, which analyze system log files on a daily basis to recognize patterns that identify the need for proactive equipment maintenance.
 
Philips said PerformanceBridge builds on the company’s existing expertise in imaging, clinical informatics, healthcare consulting services, remote services, dose management services and education services. It complements Philips’ Rightfit suite of maintenance services and its SmartPath suite of upgrade services. Philips has an installed base of over 300,000 imaging systems in more than 100 countries, and 7,000 field service engineers to support Philips customers. 
 
For more information: www.philips.com/newscenter

Related Content

IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017.

IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology.

Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev
Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly diagnosed cancer...
Advances in long-length digital radiography are creating opportunities for visualization during spinal surgery, as well as pre- and post-operatively. Image courtesy of Fujifilm Medical Systems

Advances in long-length digital radiography are creating opportunities for visualization during spinal surgery, as well as pre- and post-operatively. Image courtesy of Fujifilm Medical Systems

Feature | Digital Radiography (DR) | July 19, 2019 | By Greg Freiherr
Recent advances in...
Johns Hopkins Named Qualified Provider-led Entity to Develop Criteria for Diagnostic Imaging
News | Clinical Decision Support | July 18, 2019
On June 30, 2019, the Centers for Medicare & Medicaid Services (CMS) announced the Johns Hopkins University School...
Anatomage Releases Anatomage Cloud Platform
News | Remote Viewing Systems | July 16, 2019
Anatomage Inc. released an update to the Anatomage Cloud platform that allows medical and dental professionals to...
Graphic courtesy Pixabay

Graphic courtesy Pixabay

Feature | Artificial Intelligence | July 15, 2019 | By Greg Freiherr
Siemens has long focused on automation as a way to make diagnostic equipment faster and more efficient.
Videos | Artificial Intelligence | July 12, 2019
Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by...
Videos | Enterprise Imaging | July 09, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison
Videos | Enterprise Imaging | July 08, 2019
ITN Associate Editor Jeff Zagoudis speaks with Don Dennison
Infervision Releases InferTEST Program at SIIM 2019
News | Artificial Intelligence | July 08, 2019
Infervision announced their InferTEST program at the recent Society for Imaging Informatics in Medicine (SIIM)...