Custom RIS for Karnataka hospitals covering imaging order management from OPD/IPD/ED, modality worklist for X-ray/CT/MRI/USG, structured report entry with SNOMED-coded findings, resident-to-radiologist approval workflow, DICOM viewer and PACS integration, critical finding alerts, and radiology TAT tracking. Part of the OneCity 120-module Hospital ERP.
Get a Free Demo WhatsApp UsA hospital radiology department receives imaging requests from OPD, IPD, ICU, ED, and OT simultaneously. Each request must be scheduled on the correct modality, the examination performed, the images acquired and archived, a report generated by a radiologist or radiology resident, and the result communicated to the ordering clinician — all within a turnaround time that is clinically appropriate for the urgency of the request. A critical finding on a chest CT ordered for a post-surgical patient must reach the surgical team within minutes, not hours.
Module 12 of the OneCity Hospital ERP manages this complete radiology workflow as an integrated RIS. Imaging orders placed in the OPD EMR (Module 4) or IPD nursing station flow to the radiology worklist automatically. Modality-specific worklists (X-ray, CT, MRI, USG, fluoroscopy, mammography) show the day’s scheduled examinations with patient details and clinical indication. Reports are entered into structured templates with SNOMED-coded findings for interoperability. The resident-to-radiologist approval workflow prevents unsigned reports from being released. Critical finding alerts fire to the ordering doctor immediately. DICOM image links connect to the PACS for image review alongside the report. Radiology TAT is tracked and reported to identify bottlenecks.
OneCity Technologies Pvt. Ltd (CIN: U72100KA2009PTC048911), Bengaluru, Mangaluru, Mysuru. We build RIS as the radiology component of the hospital ERP, connecting imaging data to the clinical record, billing, and ABDM health record infrastructure so that a radiology report is not an isolated document but a structured clinical finding accessible across the patient’s care journey. For hospitals in Karnataka, we have implemented radiology software as part of the hospital ERP for multi-specialty hospitals with mixed-modality radiology departments. Our RIS implementations begin with a modality audit — understanding which modalities are in use, which are DICOM-capable, whether a PACS exists and which vendor, the current reporting workflow (paper, dictation, or basic reporting software), and the current TAT performance by modality. This audit determines whether Module 12 is deployed as a standalone RIS with PACS integration, or as part of a full ERP deployment that includes PACS setup alongside the RIS. The configuration is specific to each radiology department’s operational model rather than a generic installation.
A RIS (Radiology Information System) manages the workflow: orders, scheduling, worklists, reporting, and communication. A PACS (Picture Archiving and Communication System) manages the images: storage, retrieval, and display of DICOM files from CT, MRI, and other digital modalities. A hospital radiology department needs both. Module 12 is the RIS — it integrates with existing PACS systems (Agfa, Sectra, Synapse, or open-source PACS like Orthanc) via DICOM interface. Hospitals without PACS can implement an open-source PACS alongside Module 12 as part of the ERP project.
Doctor orders imaging from the clinical EMR with modality, examination type, and clinical indication. Order appears on the radiology worklist automatically — no paper requisition. Radiology reception confirms the appointment. Patient arrives, examination is performed. Technician marks the examination complete. Report is entered by the resident or radiologist using the structured template with SNOMED-coded findings. Resident submits for radiologist review. Radiologist reviews, edits if required, and approves with digital sign-off. Approved report pushed to the patient’s clinical record and to the ordering doctor’s worklist. DICOM images linked from PACS to the report for concurrent review.
Report templates are configured per examination type — a chest X-ray template has different sections from a contrast-enhanced CT abdomen or a liver USG. Templates include structured fields for technique, findings per organ/system, impression, and recommendations. SNOMED-CT coding at the finding level makes the radiological findings machine-readable and ABDM-interoperable. The report is not a free-text paragraph but a structured document where each finding is coded and each conclusion is retrievable. For ABDM, the report is packaged as a FHIR ImagingStudy resource with the structured findings for exchange with other providers. Reference: snomed.org.
Critical radiological findings — pneumothorax on a chest X-ray, aortic dissection on a CT, subarachnoid haemorrhage on a brain CT, free air under the diaphragm — require immediate communication to the ordering clinician. Module 12’s critical finding alert fires a push notification to the ordering doctor’s mobile (Module 71) and an in-system alert the moment the radiologist marks a finding as critical during report entry. The doctor acknowledges the alert, creating a timestamped record. This documented communication chain is the radiologist’s professional and legal protection when a critical finding is present in the report.
Turnaround time tracked from order to report approval: order-to-examination time (scheduling efficiency), examination-to-draft-report time (reporting backlog), and draft-to-approval time (radiologist review time). TAT breach alerts when examinations exceed the configured SLA for each modality and urgency level (routine vs urgent vs STAT). Modality utilisation reports show examination volume, revenue, and average report time per modality. These metrics support decisions on modality capacity expansion, staffing for reporting, and scheduling capacity management.
A standalone RIS that does not connect to the hospital’s clinical record creates the same fragmentation problems as a standalone LIS: reports available in the radiology system but not visible to the treating clinician, billing leakage because imaging charges are not automatically pushed to the patient’s account, and ABDM non-participation because the imaging reports are in a separate system that does not generate FHIR resources.
An integrated RIS built as Module 12 of the ERP connects in both directions. The ordering direction: a doctor in the OPD orders a CT scan, the order flows to the radiology worklist, the examination is performed, the report is delivered back to the patient’s clinical record and the doctor’s worklist without any manual communication step. The billing direction: the ordered examination generates a billing line at the time of order, which appears in the patient’s interim or final bill automatically — the billing team does not separately collect radiology charges. The ABDM direction: structured SNOMED-coded reports packaged as FHIR ImagingStudy resources are exported to the ABDM health record with the patient’s consent, contributing to the portable health record that follows the patient across providers.
For hospitals that use teleradiology services for after-hours or subspecialty reporting (neuroradiology, cardiac imaging), Module 12 supports an external radiologist access model where the teleradiology partner can access the worklist, report on specific examinations, and submit approved reports that appear in the hospital’s RIS. The hospital retains the complete report record in its own system regardless of where the reporting is performed. See the full clinical platform context on the Hospital ERP page and the EMR software page.
X-ray (plain radiography): Highest volume modality in most hospitals. Template library for chest PA, abdomen erect, skull, spine, and extremity views. Critical finding flags for pneumothorax, fractures, and foreign bodies.
Ultrasound (USG): Abdomen, pelvis, thyroid, breast, musculoskeletal, and colour Doppler. Report templates per examination type with measurements recorded as structured fields (not free text) for trend tracking across serial examinations.
CT Scan: CECT and plain CT for head, chest, abdomen, and spine. Structured templates by examination and clinical protocol. DICOM link to CT images in PACS for concurrent image and report review.
MRI: Brain, spine, musculoskeletal, cardiac, and whole-body protocols. Longest turnaround time in most departments — TAT tracking specifically identifies MRI reporting backlog.
Mammography, OPG, Fluoroscopy: Specialty modalities with their own worklists and report templates. Mammography reports include BI-RADS category as a structured field.
Interventional Radiology: Procedure record for biopsies, drains, and vascular interventions performed under imaging guidance. Connects to the OT module for complex IR procedures performed under anaesthesia. See our hospital software cost guide for investment details.
Karnataka has a significant concentration of private radiology capacity in Bengaluru, Mangaluru, and Mysuru, and a growing demand for imaging services from tier-2 and tier-3 locations across the state. For hospitals in Bengaluru, the challenge is managing high imaging volumes efficiently — a busy radiology department at a 300-bed hospital may process 150–300 examinations per day across multiple modalities. Without a RIS that manages the worklist, scheduling, and report turnaround systematically, the imaging department becomes a bottleneck for clinical decisions throughout the hospital.
For hospitals outside Bengaluru, the challenge is often radiologist availability for subspecialty reporting. A district hospital with CT capability but no neuroradiologist for brain CT interpretation, or an orthopaedic hospital with MRI capability but no musculoskeletal radiologist, can use the teleradiology integration in Module 12 to route specific examination types to subspecialty teleradiology partners while retaining general reporting in-house. This hybrid model — in-house reporting for routine examinations, teleradiology for subspecialty cases — is the operational model many Karnataka hospitals use, and the RIS must support both reporting pathways in the same worklist interface.
Cumulative radiation dose tracking for patients receiving multiple CT examinations is an emerging quality and safety metric in hospital radiology. A patient with a chronic condition or a trauma patient receiving multiple CTs over a hospitalization accumulates significant radiation exposure. Module 12 records the examination type and modality for every imaging order, enabling the radiology team to track cumulative CT exposure per patient and flag patients with high cumulative dose for radiologist review before ordering additional CT examinations. This is not yet a NABH mandatory requirement, but it is a quality initiative that forward-looking radiology departments in Karnataka are beginning to implement and that the AERB (Atomic Energy Regulatory Board) encourages for radiation-producing medical equipment. Reference: aerb.gov.in.
For hospitals with interventional radiology programmes, radiation dose management is particularly important because interventional procedures use fluoroscopy for extended periods. The dose area product (DAP) and fluoroscopy time for each interventional procedure are recorded in the procedure log, which is the radiation safety record required for the radiation protection programme. This data also feeds the AERB annual report for radiation-producing medical equipment. See the full clinical platform at Hospital ERP and the connected EMR software.
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Yes. Module 12 integrates with existing PACS via DICOM interface. When a report is opened in the RIS, the corresponding DICOM images load from the PACS in a viewer window alongside the report. Supported PACS systems include Agfa, Sectra, Synapse, Carestream, and open-source options like Orthanc. For hospitals without PACS, an open-source PACS deployment is available as part of the RIS implementation project.
The resident enters the report in the structured template and submits it for review. The radiologist sees a pending review queue, opens the report alongside the DICOM images, reviews, edits if necessary, and approves with a digital sign-off. The approved report is released to the clinical system and the ordering doctor. An unsigned report cannot be released to the clinical record. The approval workflow creates an audit trail with the resident who drafted the report and the radiologist who approved it, with timestamps for both steps.
Yes. Teleradiology partners are given access to a specific worklist view showing only the examinations assigned to them. They report via the same structured template interface, and approved reports enter the hospital’s RIS. The hospital’s own radiologist can review teleradiology reports before they are released to the clinical system if the hospital’s quality policy requires a local co-sign. The teleradiology access is role-controlled — external radiologists cannot access patient records beyond their assigned worklist.
Each imaging order placed in Module 12 automatically creates a billing line in Module 14 at the time of order. For OPD patients, the radiology charge appears in the OPD bill. For IPD patients, it accumulates in the interim bill. The billing team does not separately collect radiology charges — the charge is generated by the clinical order, not by a separate billing entry. Radiology revenue by modality and by ordering department is available in the billing analytics reports.
Urgent and STAT requests are flagged at the time of order with priority levels (routine, urgent, STAT). STAT requests appear at the top of the modality worklist with a visual priority indicator and trigger an alert to the radiology team. TAT targets for each priority level are configured separately — a STAT head CT has a different TAT expectation than a routine chest X-ray. TAT breach alerts fire when a priority examination exceeds its configured target. The critical finding alert workflow operates independently of priority level — a critical finding on a routine examination triggers the same immediate notification as one on a STAT examination.
Contrast reactions during CT or MRI with intravenous contrast agents are documented in the examination record as an adverse event. The reaction type (mild, moderate, severe anaphylaxis), treatment administered (antihistamines, steroids, adrenaline), outcome, and follow-up plan are recorded. A contrast reaction automatically generates an incident report in Module 83 and updates the patient’s allergy record in the EMR with the contrast agent and reaction severity. This allergy flag is visible to any clinician ordering future contrast examinations, preventing repeat exposure to a contrast agent the patient has previously reacted to. The radiology team can configure mandatory allergy review for any patient with a prior contrast reaction before a new contrast examination is scheduled.
Yes. Radiologists can access the RIS worklist and report from any location with internet access — from a different campus of the same hospital group, from a home office, or as a teleradiology partner. Access is role-controlled with the same permissions as on-site reporting. Report quality and TAT metrics are tracked regardless of reporting location. For hospital groups with multiple campuses, radiologists can cover each other’s worklists during subspecialty absence or high-volume periods without requiring physical presence at the imaging department. The DICOM images load from the PACS via secure web-based viewer accessible to remote radiologists.
Yes. Module 12 includes a film tracking workflow for X-ray films from non-digital (CR or conventional) equipment: film number, patient UHID, examination date, current location, and borrowing record. Film requisitions from wards or clinics are tracked with the requesting doctor, issue date, and expected return date. Overdue films are flagged. This film library management is the legacy workflow for hospitals that are in transition from conventional to fully digital radiology — the digital and film-based workflows run in parallel in the same RIS during the transition period.
Access the radiology RIS module with PACS integration — with screenshots, feature documentation, and implementation details for Karnataka hospitals.
Tell us your modality mix (X-ray, CT, MRI, USG, mammography, fluoroscopy), whether you have an existing PACS and which vendor, your current RIS or reporting method (paper reports, basic software, dictation), and your critical TAT requirements by modality and urgency level. The most important input for a RIS implementation is understanding your current reporting bottleneck — whether it is worklist management, report dictation and typing time, radiologist review time, or report communication to the ward. The RIS configuration addresses the specific bottleneck rather than implementing a generic workflow that does not match your department’s actual constraints. Hospitals in Bengaluru, Mangaluru, and Mysuru can request an on-site radiology department assessment before the proposal stage. Free assessment and fixed-price proposal within 5 business days.
Request Free Assessment Call +91 99023 30233 Bengaluru: No. 1869, 2nd Floor, 1st Main Rd, Rajajinagar 560010 | Mangaluru: 1st Floor, Mohtisham, Emporium Complex, Kankanady 575002 | Mysuru: Kantharaj Urs Road, Kuvempu Nagara 570023The quality of a radiology report is determined not just by the radiologist’s clinical knowledge but by the consistency and completeness of the reporting structure. A chest CT report that consistently documents the lung parenchyma, mediastinum, pleura, bones, and incidental abdominal findings in a defined sequence is more reliable than a free-text report where the sections included depend on what the reporting radiologist remembers to address. Structured templates in Module 12 define the required sections for each examination type, so report completeness is enforced by the template rather than left to individual variability.
SNOMED-CT coding of findings takes structured reporting one step further: each finding is not just documented in text but assigned a SNOMED concept that makes it searchable across the patient population. A hospital that wants to audit how many CT pulmonary angiograms reported pulmonary embolism over the past year, or what proportion of liver ultrasounds reported fatty liver changes, can run that query on SNOMED-coded findings in minutes rather than manually reviewing hundreds of free-text reports. This population-level clinical intelligence is one of the long-term value propositions of structured radiology reporting that becomes available when a hospital commits to SNOMED coding in its RIS. The AI radiology assist module (Module 98 in the Hospital ERP) uses this structured data to support reporting quality and consistency.