Image Prefetch

Imaging ready before care begins

Clinical workflows depend on having the right imaging available at the right moment. Founda Image Prefetch ensures relevant studies are prepared in advance using rule-based automation, so clinicians can start immediately without manual coordination or delays.

Imaging readiness depends on manual effort

Imaging preparation relies on staff to search, retrieve, and import studies before they can be reviewed. As referral volumes and imaging availability grow, this approach becomes difficult to scale and increasingly inconsistent.

When manual workflows fail, consultations are disrupted

If relevant imaging is missing or retrieval is delayed, consultations cannot proceed as planned. This creates interruptions, last-minute fixes, and reduced workflow predictability across teams.

See how this impacts time and capacity.

Clinicians spend time reviewing unprepared data

Relevant imaging is not pre-filtered or organized, increasing review time and cognitive load during care. Clinicians spend more time determining relevance instead of focusing on decision-making.

Standards-based interoperability

Built on global healthcare standards including HL7, FHIR, DICOM, and IHE interoperability profiles to connect systems and networks while minimizing custom integrations and reducing vendor lock-in.

Secure by design

Security is embedded at every layer -from encryption and access controls to identity management and audit logs. Built to protect sensitive data while supporting operational integrity at scale.

Scalable infrastructure

Expands effortlessly from local implementations to regional or national networks, maintaining high performance and reliability as data and users grow.

For clinicians and care teams

Imaging preparation that is predictable by design

Founda’s Image Prefetch turns imaging preparation into a structured, rule-driven process. Instead of relying on manual coordination, imaging is prepared automatically based on defined logic and timing.

Clinical events trigger preparation workflows, relevance is defined once through configurable rules, and imaging is made available at a set point before the appointment.

This shifts imaging preparation from reactive, manual effort to predictable, automated execution that supports consistent and timely care.

The Hidden Cost of Manual Preparation

Clinical capacity is lost when systems are not ready at the point of care. Today, imaging readiness depends on manual workarounds that erode clinical throughput:

Manual Burden: Staff spend ~15 minutes per patient searching for and importing external studies.
Workflow Friction: PACS administrators spend ~20 minutes per patient reconciling studies to local orders.
Information Overload: Growing national availability has scaled faster than filtering maturity, leading to "review inflation" and cognitive load.

Automatically initiate preparation workflows

Trigger imaging preparation automatically based on scheduled appointments and clinical events

Select relevant studies

Apply rules based on modality, body part, and timeframe

Retrieve and prepare imaging

Automatically fetch relevant studies across connected systems

Optimize access and performance

Efficient data transfer reduces delays and supports consistent access

Monitor and manage workflows

Provide visibility into performance, errors, and retries

Manual fallback when needed

Resolve exceptions through manual intervention when required, ensuring continuity of access

What predictable imaging readiness enables for your organization

By replacing manual preparation with automated, rule-driven workflows, imaging is consistently ready before care begins, reducing delays, improving workflow predictability, and freeing clinical teams to focus on higher-value work.

Clinical focus

Clinicians access relevant studies without navigating complete imaging histories. This reduces review time and supports more focused, efficient decision-making as data volumes grow.

Capacity protection & cost stability

Prepared workflows reduce delays and variability, helping teams maintain throughput and absorb demand without increasing operational burden or unnecessary data movement..

Workforce sustainability

Manual retrieval and reconciliation are replaced with automated preparation. Teams shift toward verification and higher-value work, reducing repetitive tasks and workflow interruptions.

Upcoming webinar (Dutch)

Improving workflows for retrieving images via XDS

Every month, healthcare organizations retrieve large volumes of imaging data through XDS networks, often relying on manual and time-intensive processes. This session walks through the image retrieval workflow step by step, highlighting where bottlenecks occur and how they impact staff time and operational efficiency.

Learn how Founda’s Auto Reconcile and Image Prefetch capabilities automate these workflows end to end, reducing manual effort and improving consistency. The session includes live demonstrations and practical guidance to help you evaluate next steps for optimizing your workflows.

Mitz webinar

Leer van praktijkervaringen

De voorbereiding op Mitz roept bij veel zorgorganisaties praktische vragen op, bijvoorbeeld hoe het past in de dagelijkse bedrijfsvoering en bestaande uitwisselingsinfrastructuren.

In ons komende webinar lopen VZVZ en Founda stap voor stap door Mitz heen, met een praktische focus op hoe het kan worden georganiseerd binnen het huidige landschap van informatie-uitwisseling in de zorg.

VZVZ legt uit wat Mitz is, waarom het is ontwikkeld en welke rol het speelt binnen het Nederlandse zorglandschap.
Founda laat zien hoe de Founda Mitz Connector kan worden geïntegreerd in bestaande XDS-gebaseerde uitwisselingsworkflows zonder dat er extra systemen nodig zijn of de bedrijfsvoering wordt verstoord.

Deze sessie is bedoeld voor zorgorganisaties die beter willen begrijpen hoe Mitz kan worden geïmplementeerd binnen hun bestaande infrastructuur en zich willen voorbereiden op toekomstige ontwikkelingen op het gebied van toestemming van patiënten.