Resources
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.
Read MoreMore Data, Now What? SIIM21 Tech Chat Webinar
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.
Read MoreAI Conductor White Paper
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.
Read MoreEnterprise Imaging Playbook
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.
Read MoreTeleradiology Ebook
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.
Read MoreInteroperability Challenges White Paper
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.
Read MoreWorkflow Bottlenecks White Paper
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.
Read MoreTime 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.
Read MoreOptimizing 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.
Read MoreValidating AI in Healthcare Webinar
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.
Read MoreIntegrating Mobile Into Medical Imaging Workflows 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
Read MoreOptimizing 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.
Read MoreDe-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.
Read MoreEnterprise 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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