Resources

Watch the replay webinar highlighting Dicom Systems and Softneta’s long-time partnership. This webinar will showcase MedDream DICOM Viewer and Unifier® platform integration.

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MedDream Integration Case Study: Dicom Systems Unifier® platform Webinar Replay

MedDream Integration Case Study: Dicom Systems Unifier® platform Webinar Replay

A DICOM router is a pivotal component in medical imaging, facilitating the smooth transmission of digital medical images and data within healthcare systems adhering to the DICOM standard. Dicom Systems presents a comprehensive suite of DICOM routing models tailored to address diverse healthcare scenarios. Whether it’s the Rapid DICOM Router, the Rapid+ DICOM Router, or the Unifier platform, each model offers specific functionalities and capabilities to meet the demands of modern healthcare workflows.

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Selecting the Best, Scalable, Efficient, and Secure DICOM Router for Optimal DICOM Data Transmission and Enterprise Imaging Workflows

Selecting the Best, Scalable, Efficient, and Secure DICOM Router for Optimal DICOM Data Transmission and Enterprise Imaging Workflows

In the competitive world of DICOM routing, Linux stands out as the undisputed champion against its competitors. With its open-source foundation, Linux offers unparalleled transparency and security, ensuring patient data remains confidential and secure. Its renowned stability guarantees uninterrupted operations crucial for medical imaging. Linux’s versatility allows for seamless customization to fit the unique needs of healthcare environments. At the same time, its efficient performance in handling large numbers of sizable medical image files makes it the optimal choice. With a vast ecosystem of open-source tools, Linux emerges as the top pick for DICOM routing, offering administrators the tools they need to optimize workflows and enhance patient care.

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Battle of the Giants: Why Linux Dominates DICOM Routing and HL7

Battle of the Giants: Why Linux Dominates DICOM Routing and HL7

Rooted in Ancient Greek and Latin, the term “pathology” has evolved over centuries. The century-old history of digital pathology involves capturing microscope images on photographic plates. This field now embraces high-resolution digital images, replacing traditional microscopy for efficient acquisition and analysis. Despite advantages like enhanced diagnostics, challenges such as interoperability and adoption persist. The future lies in artificial intelligence, promising improved efficiency. The journey to digital pathology, complex with considerations like standards and workflow orchestration, holds the potential to revolutionize healthcare.

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Digital Pathology Workflow Challenges and Solutions

Digital Pathology Workflow Challenges and Solutions

Challenges in congestion control have persisted since the late 1980s. BBR, a Google-developed congestion control algorithm, departs from traditional methods by assessing real-time network conditions. Dicom Systems leverages TCP BBR to revolutionize medical imaging data transmission, achieving significant speed improvements of up to 1800%. The Unifier platform, powered by TCP BBR, accelerates access to crucial medical images, reducing latency and improving workflows in healthcare. This departure from the waiting game ensures swift and efficient medical imaging data transfer.

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TCP BBR: Transforming ‘The Waiting’ into Efficient Medical Imaging Data Transmission

TCP BBR: Transforming ‘The Waiting’ into Efficient Medical Imaging Data Transmission

Watch the RSNA 2023 Corporate Symposium panel discussion replay “An Evolved State of Enterprise Imaging.” Leaders from UC San Diego Health, Dicom Systems, Philips Healthcare, and AWS discuss addressing multidisciplinary imaging challenges, future-proofing healthcare organizations’ imaging ecosystems, and establishing a foundation for the Imaging Health Record (IHR).

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An Evolved State of Enterprise Imaging RSNA 2023 Panel Discussion Replay

An Evolved State of Enterprise Imaging RSNA 2023 Panel Discussion Replay

Converting proprietary file formats like CTO or SCO in mammography and breast imaging introduces unique efficiency and patient care challenges. This article explores the importance of converting SCO and CTO to the DICOM-compliant Breast Tomosynthesis Objects (BTO) standard. Crucial for smooth integration into contemporary systems and compliance with industry standards, this conversion process tackles challenges like unviewable priors and compliance complexities. It underscores the importance of streamlined workflows to boost efficiency in breast imaging.

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SCO and CTO Proprietary file conversion to BTO for Mammography in Enterprise Imaging

SCO and CTO Proprietary file conversion to BTO for Mammography in Enterprise Imaging

In medical imaging, the significance of metadata is paramount, yet its management brings intricate challenges. This article explores some of the challenges and corresponding solutions with the overarching goal of refining image workflow efficiency within Radiology. We will review metadata layers, proprietary formats, transfer syntax issues, DICOM tags, and the importance of normalizing mammography studies.

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Overcoming Metadata Challenges in Medical Imaging with Data Normalization

Overcoming Metadata Challenges in Medical Imaging with Data Normalization

In the rapidly advancing field of medical imaging, teleradiology has emerged as a transformative solution, bridging geographical distances and revolutionizing the way radiological examinations are conducted and interpreted. From improved interoperability to enhanced security measures, teleradiology is experiencing a paradigm shift.

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Teleradiology and Telehealth in 2024

Teleradiology and Telehealth in 2024

As healthcare organizations continue to adopt new technologies, systems, and processes, the integrity and availability of patient data are becoming increasingly critical. The normalization and re-identification of data can be part of the migration process. This process involves extracting data from the source system, transforming it into a format compatible with the destination system, and populating it into the target system. Read more about data migration for healthcare and how Dicom Systems can help.

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Healthcare Data Migration

Healthcare Data Migration

Effective retention of medical records is important for both long-term patient care and legal compliance. The storage of medical imaging archives necessitates a scalable, durable, and compliant solution. This article examines the three main types of storage typically employed for medical records and data, namely, hot, cold, and warm storage. Discover more about the various types of storage and their advantages and disadvantages in this article.

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Medical Imaging Data Storage: Hot, Warm, or Cold

Medical Imaging Data Storage: Hot, Warm, or Cold

Dental radiology plays a critical role in patient diagnosis and treatment planning. As technology continues to advance, the need to effectively manage and store dental images increases. Enterprise imaging solutions have emerged as an innovative approach to managing dental images, allowing dental professionals to access patient data and images securely from any location, and on any device. Read more about the benefits of enterprise imaging for dental radiology, including improved efficiency, enhanced data security, and optimized collaboration.

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Dental Radiology and Enterprise Imaging

Dental Radiology and Enterprise Imaging

Breast Imaging is a major part of enterprise imaging. Mammography enables preventative screening and diagnostic breast imaging. Dicom Systems’ Unifier platform supports custom breast imaging workflows, for timely diagnosis and customized care

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Mammography and Breast Imaging Workflows

Mammography and Breast Imaging Workflows

Disaster recovery (DR) includes best practices and strategies for preventing or minimizing data loss and business disruptions should catastrophic events occur—equipment malfunctions, power outages, cybersecurity breaches, war or military attacks, natural disasters, or other significantly disruptive events occur. A healthcare organization must have a backup plan for a wide range of disasters. The most important part of disaster preparedness is ensuring the patients are properly taken care of, including their diagnosis, treatment, and follow-up.

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Disaster Recovery for Enterprise Imaging

Disaster Recovery for Enterprise Imaging

Dicom Systems a leader in enterprise imaging solutions that simplify workflows and interoperability, announced today that over 46 billion medical images pass through the Dicom Systems Unifier platform annually, marking this significant company milestone.

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Dicom Systems Sees Substantial Growth Exceeding Company Milestones with Over 46 billion Medical Images Processed Annually

Dicom Systems Sees Substantial Growth Exceeding Company Milestones with Over 46 billion Medical Images Processed Annually

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

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

Achieving Exponential Gains in Imaging Speed—Dicom Systems and Pure Storage Whitepaper

The use of digital imaging has substantially grown in recent decades, in traditional services, new specialties, and departments. The need to share these data among departments and caregivers necessitated central archiving systems that can communicate with various viewing applications and electronic medical records. The need to aggregate and share imaging data from various departments promoted the development of enterprise-imaging (EI) solutions that replace departmental silos of data with central healthcare databases. This promoted the development of modern vendor-neutral archive (VNA) systems.

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Dicom Systems Sees Substantial Growth Exceeding Company Milestones with Over 46 billion Medical Images Processed Annually

Enterprise Imaging Vendor Neutral Archive

Dicom Systems, a leader in enterprise imaging solutions that simplify workflows and interoperability, announced today that their collaboration with Alaska Radiology Associates and Imaging Associates has solved Medical Record Number (MRN) accession issues with the implementation of the Dicom Systems Unifier platform and customized workflows. The Dicom Systems Unifier platform seamlessly integrated into the existing Vendor Neutral Archive (VNA) allowing secure connections to teleradiology customers for Alaska Radiology and Imaging Associates’ patients.

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Alaska Radiology Associates, Imaging Associates, and Dicom Systems Implement Enterprise Imaging Workflows to Securely Connect Teleradiology Customers in Support of Patient Care

Alaska Radiology Associates, Imaging Associates, and Dicom Systems Implement Enterprise Imaging Workflows to Securely Connect Teleradiology Customers in Support of Patient Care

Patient data de-identification allows healthcare organizations to share data for research purposes without the potential of violating HIPAA. By de-identifying data, researchers can safely share information, such as imaging data, with other organizations to advance medical research and treatment.

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De-Identification In Medical Imaging

De-Identification In Medical Imaging

Enterprise imaging is crucial in modern medicine but still faces many workflow challenges. Learn about common enterprise imaging workflow challenges and how Dicom Systems can help.

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Enterprise Imaging Workflow Challenges

Enterprise Imaging Workflow Challenges

Enterprise imaging is “a set of strategies, initiatives, and workflows implemented across a healthcare enterprise to consistently and optimally capture, index, manage, store, distribute, view, exchange, and analyze all clinical imaging and multimedia content to enhance the electronic health record.” Learn more about enterprise imaging and how Dicom Systems can help optimize workflows for healthcare organizations.

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What is Enterprise Imaging?

What is Enterprise Imaging?

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 Balancing Act Between Easy Data Access for End Users vs. Enterprise Security SIIM22 Replay

Dicom Systems in collaboration with BayHealth has created seamless integration between two disparate healthcare systems. This partnership enables the sharing of medical images with different master patient indexes and paths, allowing the images to be accurately routed to their respective PACS applications for clinical evaluation, and protocol management. The previously configured systems allowed for viewing of images only which was no longer sufficient.

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BayHealth Development, a UCSF/John Muir Health Joint Venture, and Dicom Systems Connect Disparate Systems to Create Seamless Integration and Optimize Imaging Workflows

BayHealth Development, a UCSF/John Muir Health Joint Venture, and Dicom Systems Connect Disparate Systems to Create Seamless Integration and Optimize Imaging Workflows

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

Artificial Intelligence (AI) on Tap Lunch and Learn RSNA21 Replay

Dicom Systems have been selected by UC San Diego Health to help create seamless interoperability across their imaging ecosystem. This initiative will help transform imaging workflows and the backend infrastructure supporting them, ensuring health data is fully integrated, encrypted, and instantly accessible across the enterprise.

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Dicom Systems Selected by UC San Diego Health to Manage Imaging Ecosystem

Dicom Systems Selected by UC San Diego Health to Manage Imaging Ecosystem

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

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

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

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

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

AI Conductor White Paper

DICOM encryption and anonymization are vital for securing sensitive patient data in healthcare organizations. DICOM encryption can use advanced encryption algorithms, such as AES (Advanced Encryption Standard) or RSA (Rivest-Shamir-Adleman), to encrypt the DICOM data before it is transmitted or stored. DICOM encryption protects sensitive patient information and images from unauthorized access, cyber-attacks, or data security breaches. DICOM anonymization focuses on removing sensitive patient information to maintain privacy, while DICOM encryption involves encoding the DICOM data to safeguard its confidentiality and integrity during transmission or storage. Both processes protect sensitive medical data in different ways. Read more to explore the benefits of DICOM encryption and discover how Dicom Systems can help fortify your data security measures.

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DICOM Encryption and Anonymization

DICOM Encryption and Anonymization

DICOM data compression and image quality can greatly impact enterprise imaging productivity. Learn how Dicom Systems helped a client achieve faster turnaround times by optimizing image quality and applying the optimal blend of data compression methods.

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DICOM Data Compression and Transfer Speed for Higher Enterprise Imaging Productivity

DICOM Data Compression and Transfer Speed for Higher Enterprise Imaging Productivity

Dicom Systems is now available in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.

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Dicom Systems Launches Enterprise Imaging Platform in the Microsoft Azure Marketplace, Deploys to a Leading National IDN

Dicom Systems Launches Enterprise Imaging Platform in the Microsoft Azure Marketplace, Deploys to a Leading National IDN

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

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

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

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

Time for AI to Deliver: Machine Learning for Emergency Radiology Webinar

Life Image, the world’s largest medical evidence network for clinical and imaging data, announced that the Alaska Native Medical Center (ANMC), operated jointly by the Alaska Native Tribal Health Consortium (ANTHC) and Southcentral Foundation, selected the company as its image exchange and network access provider to enhance the Anchorage-based hospital’s capability to provide telehealth and teleradiology services throughout Alaska and beyond. This new deployment at ANMC is further validation of the strategic partnership between Life Image and Dicom Systems, a leader in enterprise imaging interoperability and workflows

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Life Image and Dicom Systems Partner to Enable the Alaska Native Medical Center in Enhancing Telehealth and Teleradiology

Life Image and Dicom Systems Partner to Enable the Alaska Native Medical Center in Enhancing Telehealth and Teleradiology

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

Optimizing Teleradiology Workflows Webinar

Deployment of Dicom Systems enterprise imaging Unifier platform at 15 Vision Radiology customer sites has contributed to performance efficiencies throughout the organization.

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Dicom Systems Generates 10X Performance Improvement in Delivering Studies Across Vision Radiology Network

Dicom Systems Generates 10X Performance Improvement in Delivering Studies Across Vision Radiology Network

Dicom Systems completes implementation of the Unifier platform for enterprise imaging, routing, load balancing, and tag-morphing for Orlando Health.

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Dicom Systems Deploys Enterprise Medical Imaging Platform at Orlando Health

Dicom Systems Deploys Enterprise Medical Imaging Platform at Orlando Health

Dicom Systems launches quick-deploy Unifier Cloud Archive to back-up and recover imaging data to Google Cloud.

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Disaster Recovery / Business Continuity as a Service Solution Delivered by Dicom Systems and Powered by Google Cloud

Disaster Recovery / Business Continuity as a Service Solution Delivered by Dicom Systems and Powered by Google Cloud

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

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

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

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

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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Practical Ways to Optimize Your Enterprise Imaging Technology Stack Webinar

Practical Ways to Optimize Your Enterprise Imaging Technology Stack Webinar