RIS/PACS software for radiology

One platformto view.prioritize.report.verify.

Studies are available the moment the modality sends them, in a DICOM viewer that runs in the browser. Nothing to install.

The worklist sorts by clinical urgency, modality, payer contract and SLA, reading the order data — never the image.

Templates per study type, dictation and macros, digital signature with version control, and ICD-10 diagnosis lookup.

The AI compares the report against what is marked in the study and flags omissions or discrepancies. It alerts: it does not block or diagnose.

Want to see it with studies from your own center? We will show it running and answer your questions on WhatsApp.

Schedule a demo See the platform

More than a RIS/PACS

One platform, from image acquisition to result delivery.

What at other centers means four vendors and three integrations to maintain, here arrives together and already talking to itself.

HIS–RIS interoperability.HL7 v2 · FHIR R4 · DICOMweb — with the HIS you already have
Storage that grows without surprises.Lossless compression and automatic tiering · predictable costs
Automatic worklist prioritization.By criticality, modality and payer · lists configurable per shift
Reports the AI reviews.Contrasts what was written against what was marked · alerts, never blocks

50M+

Medical images processed each year, quickly and accurately.

30%

Lower storage costs through image compression.

1M+

Patients reach their results through our secure portal.

70%

Fewer administrative errors with RIS, PACS and HIS integration.

Platform

WorklistReading

Prioritize critical

ModalitiesPrioritiesPayersCreate list

All7My studies0Mammography0Columns

ModPatient · studyPrioTime

Urgent

Gómez M., J.C.

Chest PA · EX-0001

14m

Rodríguez P., M.

Brain MRI · MR-0156

HIGH2d

López S., C.

Renal ultrasound · US-0234

HIGH2d

Díaz G., F.

Abdominal CT · CT-0456

MED5d

Torres N., P.

Bilateral mammogram · MG-0678

LOW7d

7 pending · view "All"Shared · night shift

Intelligent worklist

The work queue sorted by what is actually urgent, not by order of arrival.

Prioritizes by clinical urgency, modality, payer contract and SLA
Fully customizable lists, shareable across shifts
Reads the order data (HL7/FHIR) — never the image

portal.novaimaging.co/viewer

Synced

RID · XXXXXXX
CT CHEST-ABDOMEN
01-Jul-2026 · 02:19:12AW:360 L:60181/362

AID · XXXXXXX
CT CHEST-ABDOMEN
01-Jul-2026 · 02:19:12HW:360 L:60253/512

RID · XXXXXXX
CT CHEST-ABDOMEN
01-Jul-2026 · 02:19:12HW:360 L:60257/512

NOVA Imaging viewer: chest-abdomen CT in axial, sagittal and coronal planes

DICOM viewer in the browser

Diagnostic reading without installing a client on every workstation.

Windowing, measurements and comparison with prior studies
MPR, MIP and GPU-rendered volume
Built on Cornerstone3D · OHIF, zero-footprint

Chest CT · templateSigned

Findings

Solid nodule in the right upper lobe measuring 14 mm, with regular borders. No mediastinal lymphadenopathy.

Impression

Solitary pulmonary nodule. CT follow-up is suggested.

R91.8 · Abnormal lung findingSearch ICD-10

Structured reporting

From dictation to signature without leaving the same system.

Templates per study type, with clinical dictation and macros
Digital signature with version control
ICD-10 diagnosis lookup tied to the impression

Interoperability

Connects with what your institution already has, without replacing it.

HL7 v2 (ADT · ORM · ORU) and FHIR R4 over a REST API
DICOM, DICOMweb (WADO · QIDO · STOW) and Modality Worklist
IHE profiles: XDS-I, PIX/PDQ and SWF

portal.novaimaging.co

EMElena MarínPatient portal · 3 studies

MRRight knee MRIJul 12, 2026View study

CTAbdominal CTMar 3, 2026View study

USThyroid ultrasoundNov 18, 2025View study

Patient and physician portals

Results and images through a secure link. No CDs, no film.

The patient opens the report and images whenever they need them
The referring physician reaches the studies of the patients they referred
An AI agent explains the report to the patient in plain language

quality dashboard

Risk level

Low10%Medium72.5%High17.5%

By modality

CTUSMREPDX

Summary by physician

M. Torres Vega98.9Excellent

R. Salas Nieto100Excellent

AI quality control

A second pair of eyes over reports that are already signed.

Audits closed reports in batches and flags what deviates
Compares the report against the measurements and findings in the study
Feeds the service quality program, not a ranking

report editor · AI

Findings

Focal lesion in the left kidney,

of cystic appearance, measuring 42 mm

with well-defined borders.

AI detectionLive

Laterality

“Left” does not match the R marker on the image.

Classification

Renal cystic lesion with no Bosniak category assigned.

Inconsistency detection

While the radiologist writes, not after delivery.

Flags a laterality or a measurement that does not match the image
Runs inline, without interrupting dictation
It alerts and suggests: the clinical decision is always the radiologist’s

Archive · 10-year projectionAutomatic

Fast0 – 90 days

Studies being read and recent comparisons

Standard90 days – 2 years

Occasional access from the portal

Cold archive2 – 10+ years

Legal retention of the medical record

Storage and deployment

Predictable cost over ten years and the deployment model that suits you.

Compression, deduplication and automatic archive tiering
Fully cloud, on-premise or hybrid
Backup, disaster recovery and migration of the legacy DICOM archive

See the full platform

The NOVA Imaging ecosystem

One system. Every part of the radiology workflow.

Four modules designed to work together — from dictation to the patient portals — all on the same platform.

01 / 04

Dictation

State-of-the-art clinical dictation

Medical transcription with radiology vocabulary in Spanish, English and Portuguese. Voice commands for macros and signing, and fluid dictation of measurements and findings.

Dragon Medical OneSpeechKit

Listening · en-US

Template · Chest CT without contrast

⌘.

00:24A subpleural nodule is identified measuring00:27forty two point seven millimeters→ 42.7 mm

02 / 04

Worklist

Fully customizable work lists

Each radiologist defines their own columns, priorities and saved filters. Shareable across teams and shifts.

WorklistReading

Prioritize critical

ModalitiesPrioritiesPayersCreate list

All7My studies0Mammography0Columns

ModPatient · studyPrioTime

Urgent

Gómez M., J.C.

Chest PA · EX-0001

14m

Rodríguez P., M.

Brain MRI · MR-0156

HIGH2d

López S., C.

Renal ultrasound · US-0234

HIGH2d

Díaz G., F.

Abdominal CT · CT-0456

MED5d

Torres N., P.

Bilateral mammogram · MG-0678

LOW7d

7 pending · view "All"Shared · night shift

03 / 04

Portals

Patient and referrer portals

View images, share studies, and an AI agent that explains reports to patients in plain language.

AI agent

Elena M.

Patient portal

2 studies

CT · Apr 183 series

NOVA explains · in plain words

"Your study shows an area the doctor wants to look at closely at an upcoming visit. It is not urgent."

Link · 72hPatientReferrer

04 / 04

Architecture

Fully web & flexible

Cloud-native, with on-premise or hybrid deployments to suit your client. Scales without friction and without reinstalling heavy clients.

Cloud-native

AWS · GCP · Azure

On-premise

In your data center

Hybrid

Best of both

Operational intelligence

The AI that respects the radiologist

At NOVA Imaging, the AI never blocks the read and never diagnoses for the radiologist. It acts at three moments: before the read it prioritizes the queue, during dictation it flags without slowing anyone down, and after the signature it audits in batches. The clinical decision is always the human’s.

Before the read · in real time

Prioritization of critical cases

NOVA Imaging reads the clinical data —not the images— and reorders the worklist before the radiologist opens the next study. What is urgent rises to the top on its own.

The AI can:

Read the clinical data (HL7 · FHIR), never the image in order to diagnose
Reorder the worklist in milliseconds, in the background
Prioritize critical cases by severity and by your rules

How it works

intelligent worklist · AI prioritization

Clinical data (not the image)

HL7 ADT · admitted with chest pain

FHIR · elevated troponin (3.1 ng/mL)

Order · Chest CT · "rule out PE"

History · D-dimer > 2000

ER triage · ESI-2 priority

Score 96/100 → probable PE. Raise to STAT.

Worklist · reorderedlive

STAT

García R., M.

CT · Chest

TODAY

Vega A., R.

US · Carotid

TODAY

Ramírez K., L.

XR · Chest

48h

Núñez T., S.

MR · Lumbar

24h

Soto V., M.

MR · Knee

Median latency: 180 msprocessing queue

After the signature · in batches

Report quality control

This layer is different from the inline alerts: it runs after the signature, in batches, over the already closed report. It flags serious anatomical and laterality inconsistencies for review the next day, without touching the live workflow.

The AI can:

Review signed reports in batches, after the live workflow
Contrast laterality and anatomy in the text against what was marked in the study
Flag only what is serious, without slowing the radiologist’s reading

Model and validation

quality control · batch audit

Signed reports · day247 today

Batch control

08091011121314151617181920212223

Batch findings · review next day3 of 247 · 1.2%

R-2289Laterality · "left" vs R markeralta

R-2304Anatomical mismatch · organ referencedalta

R-2317Incomplete template · findingsmedia

False positives: < 0.3%overnight batch · 02:00

Clinical differentiators

What no generic RIS/PACS ships with

quality dashboard

Risk level

Low10%Medium72.5%High17.5%

By modality

CTUSMREPDX

Summary by physician

M. Torres Vega98.9Excellent

R. Salas Nieto100Excellent

AI report quality control

A second pair of eyes before signing

NOVA Imaging compares the report text against the measurements and findings marked in the viewer, and flags omissions or discrepancies before the report leaves the system.

report editor · AI

Findings

Focal lesion in the left kidney,

of cystic appearance, measuring 42 mm

with well-defined borders.

AI detectionLive

Laterality

“Left” does not match the R marker on the image.

Classification

Renal cystic lesion with no Bosniak category assigned.

Real-time inconsistency detection

Alerts while the radiologist writes

If a measurement or laterality in the text does not match what is marked on the images, NOVA Imaging highlights it instantly — not after the signature.

portal.novaimaging.co

EMElena MarínPatient portal · 3 studies

MRRight knee MRIJul 12, 2026View study

CTAbdominal CTMar 3, 2026View study

USThyroid ultrasoundNov 18, 2025View study

Patient portal

Results within reach, no phone calls, no CDs

The patient and the referring physician open the report and the images from a secure portal, with access links controlled per study.

portal.novaimaging.co/viewer

Synced

RID · XXXXXXX
CT CHEST-ABDOMEN
01-Jul-2026 · 02:19:12AW:360 L:60181/362

AID · XXXXXXX
CT CHEST-ABDOMEN
01-Jul-2026 · 02:19:12HW:360 L:60253/512

RID · XXXXXXX
CT CHEST-ABDOMEN
01-Jul-2026 · 02:19:12HW:360 L:60257/512

Zero-footprint visualization

An advanced workstation, not just a viewer

MPR, MIP, volume rendering and hanging protocols configurable per study — diagnostic workstation tools that run in the browser, with no client installed on the machine.

Who already uses it

Colombian institutions running on the platform today.

What the medical directors who implemented it say

The integration between NOVA Imaging and our Electronic Health Record improved our processes and the quality of care. We want to highlight the team’s professionalism and technical capability in delivering a robust, seamless RIS/PACS solution.

Dr. David Ricardo VélezDirector of Technology and Data Science, Clínica Angiosur

NOVA Enterprise Imaging streamlined how we manage studies, with a platform that is fast, secure and fully integrated into our processes. Their technical support has been key to improving care and institutional efficiency.

Dra. Mónica María LópezGeneral Manager, IPS Ramiro Correa Restrepo S.A.S

NOVA Imaging offers a versatile, intuitive and secure RIS/PACS, with ERP/HIS integration and constant support. Its impact on healthcare institutions is tangible: a robust and transformative solution.

Juan Camilo SaldarriagaCommercial Director, Createc

Impact calculator

How much physician time does your institution get back?

Adjust your monthly volume and your average time per report. We estimate the physician hours recovered per year.

Conservative estimate

Monthly study volume8,000 studies / month

50010k20k30k40k

Average time per report11 min

310152030

How we calculate it. Clinical dictation and macros recover ≈22% of reporting time; prioritization and a unified queue save ≈1.5 min per study in waiting and context switching. Validated with 6 pilot institutions.

Physician hours recovered / year

6,276hrs

Equivalent to3.5 full-time physicians

Time saved per study3.9 min

Monthly savings523 hrs

Solutions by setting

Volume, modalities and payer contracts change with the type of institution. So does the way the platform is configured.