Listen to the Society of Imaging Informatics in Medicine (SIIM) annual meeting recorded replay session on artificial intelligence (AI), enterprise imaging, and cybersecurity. In this session, Florent Saint-Clair examines the Artificial Intelligence (AI) adoption journey from the vantage point of the IT professionals who are expected to deploy it, while also preserving the integrity of the Enterprise.
The tsunami of Artificial Intelligence (AI) and Machine Learning (ML) models that has been assailing medical image diagnostics professions for years can no longer be ignored, nor can AI in medical imaging be viewed as a temporary trend. Although some algorithms are still in their infancy, many others have received FDA clearance and are making meaningful impacts within clinical workflows. Listen to the Lunch and Learn recorded replay to learn about the impact of AI and ML from various perspectives: device startup, practicing radiologist, teaching radiologist, enterprise IT operations and security, and enterprise workflow software.
In the case of data, more is definitely more, however, more data inherently brings more questions. How will the shared data be collected? Are there any incentives for standardizing the data? Whose data is more meaningful? In this SIIM 2021 Annual Meeting roundtable discussion Dmitriy Tochilnk, President and CTO, Dicom Systems and Boris Zavalkovskiy, ENT Director, IT Software Architecture at Envision Health discuss driving AI ready data adoption and the current challenges associated with all things data.
Unifier with AI Conductor for PACS/MIMPS and EHR which orchestrates AI workflows and algorithms. AI Conductor routes findings to the right location (Cloud or on-prem), at the right time, and in the right format. Customizable de-identification rule and adherence to HIPAA Safe Harbor, audited by a third party. Full conformance to DICOMweb, FHIR, and RESTful APIs and robust enough for large-scale AI deployments without impacting existing clinical workflows.
Unifier Enterprise Imaging Platform: Workflow, Interoperability, Archiving, Cloud, and AI On-ramp Video
Unifier by Dicom Systems is a powerful, interoperable enterprise imaging platform that ensures medical images are fully integrated and always accessible.
The Unifier Medical Image Workflow Cloud Appliance and Archive by Dicom Systems is the most flexible solution for healthcare organizations to quickly and securely adopt their imaging needs to the cloud. This highly configurable DICOM HL7 advanced router and interface engine fully supports DICOM standard TLS encryption.
Artificial Intelligence (AI) deployments in healthcare imaging have created a “traffic jam,” as data needs to be delivered to various multiple AI algorithms and AI findings need to be exchanged in a timely manner to their destinations. The AI Conductor whitepaper outlines a model for a unified workflow router that offers a scalable, customized, and integrated solution for enterprise imaging AI.
Every organization has infrastructure and technology challenges that can impact enterprise imaging performance and workflow. This playbook covers five technology plays imaging IT managers can implement to resolve data routing, point-to-point integrations and fragmented worklists and network performance.
Watch how the 2017 Unifier vintage is made in Napa Valley, CA.
Teleradiology is a part of the enterprise imaging strategy and more provider organizations are embracing the remote radiology model, with radiologists working from home. This eBook takes a look at the teleradiology opportunity and technology workflows to implement for a viable and profitable network.
In this case study, we present some of the imaging-related IT challenges experienced by a large academic medical center on the West Coast, along with the steps taken to address the challenges leveraging the Dicom Systems’ Unifier platform.
Dicom Systems partnered with a large Teleradiology group client who processes over 1.5 million studies a year to perform a series of tests on the Dicom Systems Router, measuring how average transfer speed is impacted by transformation or workflows.
The Unifier enterprise imaging platform is robust, proven, and interoperable, ensuring medical images and studies are routed and always accessible. This highly configurable platform features SSL-based DICOM and HL7 integration tools to connect image transfer workflows and new sites, load balancing for optimized imaging traffic, vendor-neutral archiving to integrate all imaging data, de-identification of PHI compliant with HIPAA Safe harbor standards, intelligent routing, and optimized radiology and teleradiology workflows on prem or in the cloud.
Life Image and Dicom Systems partnered to implement Life Image Interoperability Suite, Dicom Systems Unifier Intelligent routing, and Dicom Modality Worklist to support 2,500+ modalities, Tag Morphing, Bi-directional HL7 Routing, High Availability Auto-Failover, LUA Scripting Framework at Kaiser Southern California Permanente Medical Group (SCPMG).
Dicom Systems partnered with Google Cloud to deploy the Unifier Vendor Neutral Archive (VNA) to a Cancer Center who wanted to improve patient access by expanding their presence across the U.S. Throughout this process they discovered a new way to change the healthcare experience for their patients.
Dicom Systems Generates 10X Performance Improvement in Delivering Studies Across Vision Radiology Network Case Study
Vision Radiology Network, a National emergency teleradiology group, finds the speed and workflow efficiency they need to deliver quality patient care by implementing the Dicom Systems Unifier platform.
In September of 2020, Florent Saint-Clair, Executive Vice President of Dicom Systems and Dr. Peter Chang, Neuroradiologist and co-founder of Avicenna.ai discussed how machine learning has been applied to emergency radiology and the pathology of COVID-19.
In February of 2020, Florent Saint-Clair, Executive Vice President of Dicom Systems and Dr. Gautam Agrawal CIO and co-founder of Vision Radiology discussed how an integrated enterprise imaging platform is a value-add to radiologic image interpretation and has substantially reduced the time and cost to deploy new sites onto the Vision network.
How can organizations ensure their machine learning algorithms are clinically relevant? In this webinar Florent Saint-Clair, Executive Vice President of Dicom Systems and Dr. Alan Pitt, M.D., Neuroradiologist at the Barrow Neurological Institute discuss the process of operationalizing an algorithm in live clinical workflows. Dr. Pitt’s checklist can help assess artificial intelligence (AI)-related products for clinical relevance.
While the era of mobile healthcare has arrived, market awareness for adoption is just beginning to shift from being device-centric to enterprise solution-driven. In this webinar, Florent Saint-Clair, Executive Vice President of Dicom Systems, Manabu Tokunaga, CEO and Co-founder, WinguMD, and Dr. Nolan Altman, Pediatric Neuroradiologist and Chief, Department of Radiology at Nicklaus Children’s Hospital discuss the case for radiology workflow integration as the next frontier in mobile.
Historically, healthcare enterprises have managed multiple fragmented systems for internal radiology versus external imaging workflows, such as cloud image sharing and teleradiology. In 2018, Life Image and Dicom Systems announced a strategic partnership that would help hospital and health systems dramatically reduce arbitrary barriers impeding information sharing and data flow, delivering faster results for improved patient care
Cross-disciplinary research needs data sharing to assure its clinical validation. Can healthcare organizations avoid breaching HIPAA privacy rules and remove complex DICOM data objects? How can sensitive data like social security numbers, zip codes and the like be obscured, leaving raw data for research purposes? This webinar details the requirements for complying with the HIPAA Privacy Act and how to construct a clean data pool for research consumption.
Systems performance is an effective way to benchmark the value of your Enterprise Imaging workflows. In this webinar, Dmitriy Tochilnk, President and CTO, Dicom Systems and Trevor Walker, Principal Systems Analyst, Stanford Health Care cover strategies for evaluating IT imaging with real, measurable impact on network performance, clinical workflow, and connectivity.
What incremental changes you can make to your imaging infrastructure to solve these common challenges and have a real, measurable impact on network performance, clinical workflow, and connectivity. In this webinar Florent Saint-Clair, Executive Vice President of Dicom Systems and Chris Radi, Senior Vice President, Information Technology at Foundation Radiology Group discuss practical ways to optimize your enterprise imaging technology.