A Multi-Society Effort Is Driving Imaging Interoperability Across Healthcare

Why It Matters

Standardizing digital pathology images with DICOM and IHE will enable seamless AI integration, multi‑site collaboration, and cost‑effective data reuse, accelerating clinical and research value across the healthcare ecosystem.

Key Takeaways

• DPA, CAP, and SIIM released a DICOM starter toolkit for pathology.
• Pathology vendors must shift to native DICOM output to achieve interoperability.
• IHE profiles define end‑to‑end workflows linking scanners, LIS, and AI.
• Whole‑slide images often exceed 4 GB, prompting tiered storage strategies.
• Success measured by vendor Connectathon participation and standardized metadata use.

Pulse Analysis

The surge in digital pathology promises faster diagnoses and richer data for AI, yet the industry remains fragmented by proprietary file formats. By adopting DICOM—a "shipping container" for medical images—pathology can inherit radiology’s decades‑long success in unifying disparate systems. DICOM not only standardizes pixel data but also embeds critical metadata such as tissue type, stain, and acquisition parameters, turning raw slides into searchable, interoperable assets that can be leveraged across electronic health records, research databases, and cloud‑based AI platforms.

Technical standards are converging around DICOM and the Integrating the Healthcare Enterprise (IHE) framework. IHE profiles translate DICOM’s data model into concrete workflows, ensuring scanners automatically retrieve specimen details from laboratory information systems and that AI‑derived annotations are stored alongside images. However, practical challenges persist: a single whole‑slide image can exceed 4 GB, demanding tiered hot‑cold storage architectures and new archival policies. Moreover, many scanner manufacturers still treat DICOM as an optional export, limiting the availability of native viewers and complicating validation. Addressing these gaps requires coordinated vendor roadmaps and clear procurement criteria that prioritize conformance.

Recognizing these hurdles, the DPA, CAP, and SIIM have launched a DICOM starter toolkit and are championing regular Connectathons where vendors test interoperability in real‑world scenarios. Policy levers—such as EHR incentive programs and emerging FDA guidance—could further accelerate adoption by aligning financial incentives with standards compliance. Within the next three years, the consortium envisions a landscape where DICOM is the default, metadata is uniformly coded, and AI pipelines operate without custom integrations, mirroring radiology’s seamless, cross‑institutional image exchange.