What challenges did Philips face before AI implementation?

Radiologists lost significant time accessing multiple disconnected information systems for patient data. Difficulty in compiling a complete clinical view due to fragmented data sources (e.g., ADT, lab, medication, imaging). Manual workflows reduced diagnostic efficiency and accuracy. Limited ability to perform advanced data analytics or track department performance.

What was the impact of the AI solution?

Reduced time radiologists spend searching for patient data across systems. Enabled faster and more accurate diagnostics through a unified interface. Improved workflow efficiency by streamlining access to comprehensive patient data. Enhanced capability for analytics and performance improvement in radiology departments.

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Source

MicrosoftExpanded

Philips revolutionized radiology workflows and processes

Use case typeClinical documentationUpdated Jun 13, 2026

Philips and Microsoft have partnered to enhance radiology processes by integrating Microsoft's data aggregation platform, Amalga, with Philips' iSite PACS imaging solution. This combination enables radiologists to access complete clinical and imaging data within a single interface, thus improving diagnostic accuracy. The solution demonstrates the impact of interoperability and analytics in modern healthcare, addressing challenges in accessing and analyzing disparate data streams quickly.

Organization: Philips
Industry: Healthcare
Location: Netherlands
Published: February 2011

Reported outcomes

Strategic outcomes

New product / capabilityUnified clinical and imaging data accessBetter decisions & insightEnabled faster, more accurate diagnosticsSpeed & agilityStreamlined radiology workflowsBetter decisions & insightImproved departmental analytics

Primary read

Use case focus

Showing 3 of 4

1Unified Clinical Data Viewer for Radiologists
2Automated Clinical Context Aggregation for Diagnostics
3Radiology Department Performance Analytics

Radiologists lost significant time accessing multiple disconnected information systems for patient data.
Difficulty in compiling a complete clinical view due to fragmented data sources (e.g., ADT, lab, medication, imaging).
Manual workflows reduced diagnostic efficiency and accuracy.
Limited ability to perform advanced data analytics or track department performance.

Integrated Microsoft Amalga data aggregation platform with Philips iSite PACS imaging system.
Developed a single-click interface allowing radiologists to access relevant patient clinical and imaging data from one screen.
Enabled interoperability between DICOM and non-DICOM data sources.
Provided analytics capabilities for departmental performance and workflow improvements.

Technologies

Microsoft Amalga

Reduced time radiologists spend searching for patient data across systems.
Enabled faster and more accurate diagnostics through a unified interface.
Improved workflow efficiency by streamlining access to comprehensive patient data.
Enhanced capability for analytics and performance improvement in radiology departments.

Sources & evidence1

ExpandedExpanded

The same organization appears in newer AI deployment evidence.