Radiology workspace, more than just a PACS

     
    One partner, one solution, to unify radiology workflow

    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.1

    Enterprise-wide operational efficiency

    Managing complex radiology workflows to drive efficiency requires a partner who can integrate your PACS, clinical imaging and reporting into an enterprise-wide infrastructure, enhancing productivity through streamlined processes.

    Operational and clinical workflows

    High-speed and secure remote access to your PACS for diagnostic reading, integrated reporting and AI-enabled workflow orchestration

    Data integration and accessibility

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

    Unified imaging ecosystem for better data control

    From workflow management to the clinical repository, diagnostics, image sharing and more.

    Enterprise-wide scalability and efficiency

    Collaboration from virtually anywhere without compromising business and patient care

    Unlock your radiology team's ability to succeed

    Deliver faster access to medical studies and reduces on premises hardware and IT management costs by moving to a secure, cloud-hosted storage platform.

    Two radiologists conferring in front of dual screens

    Streamline study interpretation and reporting

    A seamless AI-enhanced application to enable sophisticated image processing and simplified clinical workflows.

    Radiology workflow in action

    $85K


    saved per year4

    Up to $8.7K


    saved

    Up to 17%


    increase of procedures

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

     
    Up to $8.7Ksavedper HCC patient using qEASL, a novel analysis of 3D MR/CT, which shortens the time needed to assess the efficacy of TACE & reduce ineffective treatment5

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

    We are always interested in engaging with you.

    Let us know how we can help.

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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.

    Disclaimer
     

    *HealthSuite Imaging may not be available in all regions. Please consult your local Philips representative for more details. Philips AI Manager is not intended for data interpretation or diagnosis. Availability of third-party algorithms may vary per market.

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