Radiology workspace

Unlock the power of data to support operational efficiency

Data plays a crucial role in delivering healthcare by helping support clinical decisions and operational efficiency. Just over half (51%) of healthcare leaders say that data silos hinder their ability to utilize data effectively. Additionally, 20% report difficulties managing a high volume of data and 19% have difficulties obtaining data.¹Managing complex radiology workflows to drive efficiency requires a partner who can integrate clinical imaging and reporting into an enterprise-wide infrastructure, enhancing productivity through streamlined processes.

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One partner, one solution, to unify radiology workflow

Operational and clinical workflows with high-speed and secure remote access for diagnostic reading, integrated reporting and AI-enabled workflow orchestration

Seamless and secure information sharing throughout the hospital network for a clear view of every patient’s care pathway

Unified imaging ecosystem for a better control of your data – from workflow management to the clinical repository, diagnostics, image sharing and more

Collaboration from virtually anywhere without compromising business and patient care

Demonstrated results

Intelligent algorithms for workflow prediction engine for data pre-processing 90% specificity³, 5 hours saved per week, $85K saved per year⁴

Up to $8.7K saved per HCC patient using qEASL, a novel analysis of 3D MR/CT, which shortens the time needed to assess the efficacy of TACE & reduce ineffective treatment ⁵

Up to 17% Increase of procedures, with same resources available in the practice⁶

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CIO and IT professional hallway discussion

Choose the right data migration partner

An experienced data migration vendor can deliver a success rate above 99.8%. Choosing the right vendor can help you complete the project quickly and with little interruption to your current workflows. Discover 10 critical questions to ask before migrating your medical data.

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Optimize workflows and data security for remote radiologists

One challenge all health systems face is protecting patient data. 84% of the new generation of radiologists rate remote work as very important, according to a recent nationwide poll.²Working remotely requires an extra layer of security between the radiologist and the server.

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“Improve the patient experience and to start using radiology AI and machine learning algorithms to support clinical diagnoses in the future.”

Dr Sanji de Silva

Vice President of Clinical Engagement and Informatics

Abu Dhabi Health Data Services (Malaffi)

Abu Dhabi, United Arab Emirates
“At the beginning, I was afraid that the migration process would take forever, and we could lose a bunch of studies. But the migration went surprisingly good and smooth. You can’t wish for more.”

Dr Volker Kunze

Radiologist and IT Specialist

Radiologie Oldenburg

Oldenburg, Germany
"As head of operations, having a cloud solution reduced my teams’ headaches dramatically.”

Marco Venditti

Head of IT Operations

Campus Bio-Medico University Hospital

Rome
“Philips AI solutions, such as the AI Manager, will help implementing AI and improving hospital operations and patient care.”

Mark van Buchem, MD, PhD

Chairman, Department of Radiology

Leiden University Medical Center (LUMC)
"Thanks to the integration in one Advanced Visualization Workspace, reviewing images has become easier and quicker, enabling faster reporting of results. Adding AI could potentially save more time."

Professor Philippe Douek

Professor of radiology, Hôpital Cardiologique Louis Pradel Lyon,

France

Radiology informatics

Streamline your radiology workflow with a unified strategy for all your imaging needs from order management through report distribution.

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Radiologist full face with Diagnostic Viewer on screen

AI Manager

Enable your radiologists to leverage AI applications for more comprehensive assessment and to gain deep clinical insights into your radiology workflow.

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Advanced Visualization Workspace

Give your physicians the tools to perform advanced analysis and follow up even in complex settings.

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Footnotes

* HealthSuite Imaging may not be available in all regions. Please consult your local Philips representative for more details.

[1] Future Health Index 2022 : philips-future-health-index-2022-report-healthcare-hits-reset-global.pdf

[2] 1 Neitzel E, vanSonnenberg E, Markovich D, Parris D, Tarrant J, Casola G, Mamlouk MD, Simeone JF, The New Normal or a Return to Normal: Nationwide Remote Radiology Reading Practices after Two Years of the COVID-19 Pandemic Journal of the American College of Radiology (2023), doi: doi.org/10.1016/j.jacr.2023.04.014

[3] CAD functionality of Riverain Technologies. ShihChung et al. AJR 2018; 210:480-488.

[4] Specktor B. Preprocessing prediction of advanced algorithms for medical imaging, J Digit Imaging 31:42-50, 2018 – Specificity results related to the heart segmentation and bone removal prediction performance as a function of number of positive training examples

[5] Cost-effectiveness of Imaging Tumor Response criteria in Hepatocellular Cancer after Transarterial Chemoembolization, Journal of American College of Radiology, www.sciencedirect.com/science/article/abs/pii/S154614402031396X

[6] Results are specific to the institution of AU Health in the USA (part of Banner Health) where they were obtained and may not reflect the results achievable at other institutions.

Philips AI Manager is not intended for data interpretation or diagnosis. Availability of third-party algorithms may vary per market.