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Diagnostic imaging

Radiology information system for hospital imaging departments

Imaging is where a lot of clinical time quietly disappears. An order is written on a slip, carried to the department, matched to a patient by name, performed, reported on a separate machine, and then printed for someone to hand back to the ward — and each of those handoffs is a place where the study or the report can go missing.

HealUDoc treats radiology as part of the same record rather than a department that exchanges paper with the rest of the hospital. Orders arrive electronically, studies are tracked through their stages, and verified reports return to the chart the referring clinician already has open.

Imaging orders that arrive with their context

A radiographer working from a handwritten requisition often has the modality and the body part but not the clinical question. That gap leads to repeat calls, occasionally repeat studies, and reports that answer something the referrer did not ask.

Electronic order entry in HealUDoc carries the patient identity, the requested study, the referring clinician, and the clinical indication together. The department receives a queue of orders rather than a stack of slips, and priority is recorded on the order itself instead of being conveyed verbally to whoever happens to be at the console.

Worklists, structured reporting, and turnaround

Modality worklists let technologists select a scheduled patient rather than typing demographics at the machine, which is one of the more common sources of mismatched studies. Orders flow to the relevant modality queue, and the study status moves through scheduled, performed, reported, and verified so nobody has to phone the department to ask where a scan stands.

Radiologists report against structured templates that keep findings and impressions consistent across the group while still allowing free narrative where the case needs it. Because every stage carries a timestamp, turnaround can be measured by modality, shift, or priority — which is the only reliable way to tell whether a delay sits in acquisition, reporting, or verification.

Reporting and workflow highlights

  • Modality worklists populated from scheduled imaging orders
  • Study status tracked from acquisition through verification
  • Structured report templates with room for narrative findings
  • Turnaround measured by modality, priority, and shift

PACS interoperability and results in the chart

HealUDoc is built to work alongside a hospital's existing imaging estate rather than replace it. The radiology module is designed for integration with PACS and DICOM-based systems so that orders, worklists, and study references line up with where the images themselves are stored. Scope and effort depend on the specific PACS and modalities in use, and our team scopes that with your imaging vendor during implementation.

Once a report is verified, it returns to the same patient record the referring team works from — visible in OPD, on the ward, and in discharge documentation. Prior studies stay attached to the patient across visits, so a clinician comparing progression is reading a history rather than requesting films from an archive.

Key capabilities

  • Electronic imaging order entry with clinical indication
  • Modality worklists drawn from scheduled studies
  • Status tracking across acquisition, reporting, and verification
  • Structured reporting templates for consistent output
  • Turnaround time reporting by modality and priority
  • Designed for integration with PACS and DICOM systems
  • Verified reports delivered back to the patient chart
  • Prior imaging history retained across visits and departments

Who this is for

Radiology departments

Replace paper requisitions with an ordered queue and measurable reporting turnaround.

Referring clinicians

Raise imaging orders and read verified reports without leaving the patient chart.

Hospital administrators

Understand where imaging delays actually occur before adding capacity or staff.

Explore related resources

Compare plans, review common questions, and understand how we protect clinical data before you decide.

Related reading

Practical guides from our blog on workflows that connect to this solution.

Connect imaging to the rest of the record

Book a demo to walk through radiology workflows with your modality mix, or start a trial and explore order and reporting flows.