Enterprise solution

Enterprise Imaging

Unlock the full potential of your imaging data with enterprise medical imaging solutions that are accessible, interoperable and seamlessly integrated into your electronic medical record system

Unite data across the enterprise to enhance patient care

In today’s data-driven healthcare environment, Enterprise Imaging is at the heart of an organization’s digital transformation strategy. Healthcare organizations are increasingly recognizing the value of a unified, scalable solution that consolidates imaging data across departments, improves accessibility and supports data-driven clinical decision-making. At Philips we understand the importance of integrating imaging data into the broader healthcare ecosystem, not just storing images.

Harness imaging data to drive insights and efficiency

Seamlessly connect imaging data to help clinicians gain insight into diagnosis and patient care.
Control risk with a 99.99% uptime guarantee for critical systems and unlimited licenses and modality connections that make it easy to scale or adapt your solution.
Manage costs with a choice of managed service and capital budge approaches, both with full cost transparency and outstanding service.
As healthcare increasingly embraces artificial intelligence, enterprise imaging provides a centralized repository from which AI can draw vast amounts of data.

Vendor-agnostic enterprise medical imaging platform built on broad and deep domain expertise

Holistic patient view: Provide easy access to holistic patient data and advanced clinical tools.
Vendor-agnostic enterprise medical imaging platform: Avoid vendor lock-in and achieve a single source for disparate data.
High-quality data: Deliver fast, remote access and integrated reporting to radiologists anytime and anywhere. Cloud-ready: Implement secure, cloud-based deployment leveraging Amazon Web Services (AWS) to ease IT management.
Certified DIAM experts: Take advantage of our expertise as a Certified Organization for HIMSS Analytics DIAM to guide development of digital strategy.

Centralized and consolidated imaging data for efficient workflow and implementation speed

Efficiency: Malaffi HIE (Emirate of Abu Dhabi) provides access to radiology images from 60+ sites with the help of our vendor-neutral image exchange platform.¹
Workflow: Hospital Ntra. Sra. Del Rosario (Madrid, Spain) saves at least one minute per patient with the all-in-one workspace integrated with the enterprise imaging platform and embedded in the diagnostic viewer.²
Decreased IT burden: “The resilience of the solution’s hybrid approach with the cloud connect in-house and the cloud outside is very satisfying,” said Marco Venditti, Campus Bio-Medico’s (Rome, Italy) Head of IT Operations.³

Enterprise Imaging enhances the patient and healthcare professional experience

The healthcare industry generates approximately 30% of the world’s data volume.⁴
Healthcare leaders believe data-driven insights could help optimize treatment plans and care pathways (43%), identify evidence-based practices (37%) and reduce waiting lists for diagnostic and elective procedures (36%).⁵
Delays in care due to staff shortages are an issue for more than three in four healthcare leaders (77%).⁵
The vast majority of healthcare leaders (94%) say their organization experiences data integration challenges that impact its ability to provide timely, high-quality care.⁵

Demonstrated results in enterprise imaging

Up to 5 hours
saved per week
Up to 5 hours
saved per week
Four customer sites reported a savings of up to five hours per week using the automated workflow prediction engine for data pre-processing.⁶
99.7%**
of data migrated successfully
99.7%**
of data migrated successfully
Plus, less than one day of interruption to ongoing operations with solid data migration plan.⁷
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Save 8.9 minutes
in assessing tumor burden compared to text-only reports**
Save 8.9 minutes
in assessing tumor burden compared to text-only reports**
One study showed that multimedia reports can save oncologists 8.9 minutes in assessing a patient’s tumor burden compared to text-only reports.⁸