We enable the IT systems that support your enterprise medical imaging workflows to meet the evolving needs of your healthcare organizations clinical practice, regardless of size or complexity. Timely access to all of a patient’s medical imaging information is a requirement, to improve the quality of care and reduce risk. These demands are particularly acute when clinical workflows must unify physically and technically distinct business entities or clinical departments that employ multiple imaging and archiving systems.
Our enterprise workflow solutions synchronize delivery of current and prior imaging studies to the clinical staff that needs them, wherever they reside; and automate the processes that enable the increasingly distributed healthcare organization to:
- Integrate systems and facilities
- Improve productivity
- Increase organizational efficiency
- Enhance clinical quality and patient care
- Expand clinical services and patient referrals
Combine and configure Laurel Bridge workflow components to solve your enterprise imaging workflow needs. Automate ingestion and distribution of DICOM and non-DICOM studies, retrieve and share relevant priors, perform HL7 message routing, DICOM load distribution and balancing, and enhance dictation system integration… all among disparate clinical and enterprise imaging IT systems.
Deploy one or more of these full-featured components for a customized solution:
- Compass – Routing Workflow Manager
- Navigator – Imaging Retrieval Workflow Manager
- Waypoint – Consolidated Modality Worklist
- Beacon – Enterprise Study Q/C Manager
Integrate artificial intelligence (AI) algorithms with clinical imaging workflows
- Identify, fetch, anonymize and deliver current and prior studies to the AI algorithms
- Reidentify AI algorithm results
Laurel Bridge AI Workflow Suite
- Leverages functionality from our Compass, Navigator and Waypoint solutions
- Supports on-premises and cloud-based topologies
AI Workflow Solution
- Automate and manage the flow of study data between AI algorithms and existing clinical systems and workflows.
- Seamless interoperability between local facilities and cloud-based AI algorithms.
- Standards-based interoperability with 3rd party applications and clinical systems.
The Laurel Bridge AI Workflow Suite can integrate on-premises and cloud-based AI algorithms into existing clinical workflows. Because we are DICOM compliant, AI results can be sent to the PACS archive, VNA and EMR, and can be accessed by an enterprise or PACS viewer.
Whether you are working with radiology, cardiology, or ophthalmic applications, when anonymized study information is needed for training or research, or to train new machine learning algorithms, we can automate the secure data flow from any number of sources and automatically de-identify patient specific information as needed.
Structured Reporting and Dictation System Integration
The new dictation integration option for Compass automates the insertion of quantitative measurement data, from a modality, into the radiologist’s report or dictation template.
Automating the inclusion of measurement data improves radiology staff productivity and enables the radiologist to focus on dictating their report. Clinical quality is also be enhanced because automation ensures the right information is accurately incorporated into the clinical report. Compass DICOM structured report (SR) data management becomes an extension of the tag morphing/coercion capability of our Compass Routing Workflow Manager, which enables the solving of complex imaging workflow challenges that benefit from these combined capabilities.
The Compass Dictation Integration Modules use application APIs to map DICOM SR data fields into the appropriate report template. Post-processing can be performed to modify, add, or remove custom fields. The flexibility and configurability of Compass also provides support for custom or private DICOM SR formats or fields and includes the following exam types by default:
- Vascular (Doppler Carotid, Renal, Abdomen)
Standardize study identification and distribution
Ensure critical patient information such as patient ID, demographics, originating location, and study description is normalized to enable seamless ingestion and workflow efficiency.
Move studies and related data
Enable access to DICOM imaging studies from any number of sources, and ensure the delivery of non-DICOM patient information, such as reports, EKG’s and non-DICOM images among departments and IT systems where needed.
Ingest and deliver from remote locations
Efficiently offload mobile and remote location acquisition devices and ensure secure, reliable delivery of medical imagines to any archive or clinical workstation.
Ingestion and retrieval across disparate archive systems
Provide scalable, federated access and retrieval of a patient’s entire imaging record across any number of disparate clinical archive systems (PACS & VNA), including integration with an MPI.
Enhance radiology reporting workflow
Improve radiology staff productivity and clinical report quality by automating the insertion of DICOM Structured Report (SR) measurement data in your radiologist reporting templates.
Route DICOM images based on HL7 messages
Route current and prior imaging studies based upon order information in previously received HL7 messages, such as to support centralized telemedicine, teleradiology or teleICU strategies.
Share modalities among multiple scheduling entities
Simplify sharing of imaging resources among different patient scheduling systems and ensure new studies are automatically delivered to the appropriate reading locations.
Fetch prior images and reports from multiple archives
Enable distributed mammography workflow, teleradiology workflow or teleICU workflow across merged and consolidated enterprises.
Automate priors fetching for long lead time exams
Ensure that prior studies are available on-time even when imaging exams are scheduled 12-24 months ahead of being performed.
Integrate imaging studies lacking a pre-existing order
Automatically ensure that encounter-based images acquired at the point-of-care (POC), even when missing a pre-existing order, are accurately associated with the patient’s record by converting the images to DICOM format and automatically adding demographic information from the scheduled encounter information.
Image Ingestion and Access
Ingest, transform, and deliver medical images between disparate systems and locations.
- Based on time, schedule, content, orders or events
- Anonymize patient data
- Standardize patient demographics
- Encrypt and compress
- Integrate with Master Patient Index (MPI)
Image Retrieval and Distribution
Retrieve medical images from disparate systems or centralize archives and deliver to where needed.
- Support comprehensive fetching requirements
- Support complex relevancy matching
- Multiple triggers (worklist, HL7, manual)
- Standardize patient demographics
- Encrypt and compress
- Integrate with an MPI or EHR