PrismLink

Capabilities

What PrismLink accepts, how it decides where a value belongs, what it can compute, and how it is deployed.

Sources

Mapping

The same anatomical measurement is encoded differently by every manufacturer, and often differently between software versions of the same scanner. PrismLink treats device identity — modality, manufacturer, model and software version — as part of the mapping key, so a firmware upgrade that moves a value cannot silently redirect it into the wrong field.

The clinical field ontology. The catalogue of report fields, browsed by exam and by structure, with the units and values each field accepts.

Transformation

Calculated fields. Each one is an ordinary ontology field with its formula visible — a maximum across three segments, or a percentile looked up against a cited reference table.

Delivery

Where a site wants narrative as well as discrete fields, a report template turns the mapped values into report text — findings, impression, comparison — with loops over repeated regions and lines that drop out when a value is missing, previewed against real studies before use.

Report template. A bone-density template on the left; on the right, the findings, impression and comparison it produces for one study — two scanned sites combined from two structured reports under one accession.

Configuration

PrismLink is configured through PrismLink Studio™, a browser interface served locally by the application. Setup walks through connecting modalities and the reporting system, indexing the exams a site actually performs, organising them, mapping them, and reviewing the result before anything goes live.

1 · Connect modalities. The address, AE title and port to enter on each scanner, or in PACS routing, so structured reports arrive automatically.
2 · Connect the reporting system (PowerScribe). The account PrismLink uses to deliver values and to read back finalized reports.
3 · Collect exams. Start clean from what the modalities deliver, or reuse the structured reports an existing integration already holds.
4 · Index exams. Every structured report received, grouped by modality, machine, software version and exam name.
5 · Organize exams. Each group matched to the exam types in the clinical field ontology. A person adds or removes; those decisions survive re-runs.
6 · Map. The AI model maps each group's fields onto the ontology; an independent review then re-checks the pooled mappings across compatible groups, and anything it cannot confirm is withheld rather than published.
7 · Review. How the mapping came out — coverage, where each mapping came from, and the queue of anything that needs a person before go-live.

Day-to-day, Studio shows any received study side by side with what PrismLink extracted from it — the full structured source on one side, the mapped report fields on the other — so a mapping can be inspected against the study that produced it. Studies can be found by accession, patient name or record number through a private local index; newly received studies appear in the view automatically.

Day-to-day. A carotid study as received, with every mapped source row and the report field it feeds on the left, and the delivered values with their units on the right — 38 fields from one study, four of them calculated.

After go-live, a maintenance workspace surfaces change as it appears — newly detected report types, exam groups without a mapping, and structural changes in what a device sends — and routes each finding to the workflow that resolves it. A reviewer can acknowledge a condition without mapping it; if the underlying situation later changes, the condition reopens on its own.

Review. A mapping the independent reader objected to, with what it read, where it read it from, and the reader's reasoning for every study — accepted or rejected by a person, never silently.

Once finalized reports are available, Statistics compares every delivered value against the signed report for the same study: how often each field fired, how often its value appears in the narrative, and how often the two agree. Fields that are delivered often but rarely reach a report stand out for review.

Statistics. Every delivered field scored against the signed reports — here across 2,193 studies of a synthetic test corpus.

Existing AutoText templates can be brought across rather than rebuilt: import the reporting system's AutoText export, and PrismLink proposes where its fields belong in each template for a person to accept, then exports the result back for import.

Populate AutoText. Waiting for an AutoText export from the reporting system.

A built-in Test Lab exercises the whole path end to end using synthetic studies: a one-click demonstration, plus multi-modality and load scenarios, against a simulated scanner and a simulated reporting system. It runs only on non-production installations, verifies that every study it sends is synthetic before transmitting it, and never modifies real reporting-system settings.

Test Lab. The complete path — simulated scanner, PrismLink, simulated reporting system — exercised with synthetic studies on a non-production installation.

Sites replacing an existing structured-data integration (for example, Hyland ModLink) can migrate rather than start over: PrismLink imports the outgoing system's configuration as a starting point, compares its own output against the outgoing system's on real studies, and transfers ownership field by field — without a coverage gap at cutover.

Deployment and data handling

PrismLink processes protected health information on behalf of the operating facility. Deployment, access control and data-retention arrangements are agreed per site. Please get in touch for the current technical and security documentation, or see the Security overview.