Resources
Watch the RSNA 2022 annual meeting recorded replay on overcoming AI FOMO and Cloud Hype. In this session, Florent Saint-Clair, Chief Operating Officer at Dicom Systems, Mark Dobbs, Director of Global Healthcare Alliances at Pure Storage, and Matthew Hayes, MBA, CIIP, Senior Manager of PACS at Radiology Partners discuss the often-intertwined capabilities of AI and Cloud. In this session, they provide tactical guidance to help evaluate if AI or Cloud is needed at your organization and if so, how to accurately deploy it.
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Under Pressure: Overcoming AI FOMO and Cloud Hype RSNA 2022 Replay
Dicom Systems and Pure Storage conducted testing to evaluate if high-performance data storage affects medical image transmission latency and transfer speed. The testing focused on the routing functionality of the Dicom Systems Unifier enterprise imaging platform. When the Unifier platform runs on Pure Storage® hardware, the combined solution has the capability to migrate more than 800,000 imaging studies per day.
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Achieving Exponential Gains in Imaging Speed—Dicom Systems and Pure Storage Whitepaper
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.
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The Balancing Act Between Easy Data Access for End Users vs. Enterprise Security SIIM22 Replay
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.
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Artificial Intelligence (AI) on Tap Lunch and Learn RSNA21 Replay
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.
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More Data, Now What? SIIM21 Tech Chat Webinar
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.
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AI Conductor Video
Unifier by Dicom Systems is a powerful, interoperable enterprise imaging platform that ensures medical images are fully integrated and always accessible.
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Unifier Enterprise Imaging Platform: Workflow, Interoperability, Archiving, Cloud, and AI On-ramp Video
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.
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Unifier Medical Image Workflow Cloud Appliance and Archive Video
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.
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AI Conductor White Paper
Watch how the 2017 Unifier vintage is made in Napa Valley, CA.
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The making of the 2017 Unifier vintage wine private label from Oakville AVA in Napa Valley Video
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.
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Unifier Enterprise Imaging Use Cases and Case Studies
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).
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Kaiser Southern California Permanente Medical Group (SCPMG) 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.
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Dicom Systems Generates 10X Performance Improvement in Delivering Studies Across Vision Radiology Network Case Study
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.
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Time for AI to Deliver: Machine Learning for Emergency Radiology Webinar
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.
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Optimizing Teleradiology Workflows Webinar
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.
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Validating AI in Healthcare Webinar
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
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Optimizing Enterprise Imaging Data Flow Webinar
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.
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De-Identification of Medical Images for AI and Machine Learning Webinar
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.
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Enterprise Imaging Performance Benchmarking Webinar
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.
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