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To Bring Enterprise Imaging Out of the Dark Ages into the Light

To Bring Enterprise Imaging Out of the Dark Ages into the Light

Similar to MI6’s push into the digital era, Enterprise Imaging evolves from outdated PACS to an interconnected system, much like James Bond’s agility in navigating unpredictable adversaries. IT professionals wield SSDs like Bond’s Aston Martin, using 10G speed for connectivity. The DICOM standard poses challenges requiring fast CPUs and powerful GPUs, echoing Bond’s resourcefulness. PACS and VNA vendors must match Bond’s innovation to meet healthcare demands, balancing care with tech evolution

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Bats Out of Hell

Bats Out of Hell

Our latest blog post takes us on a nostalgic journey with Herman Oosterwijk, reminiscing about the iconic 1977 record by Meat Loaf while sharing his experiences at the SIIM23 Annual Show in Austin, Texas. The blog delves into Oosterwijk’s SIIM23 technology hype curve, exploring the evolving landscape of healthcare imaging and IT. From the early stages of AI and Virtual Reality to the disillusionment with AI’s limitations, he covers the challenges of implementing modern standards like FHIR and the progress in Enterprise Imaging and DICOMWeb. Finally, it highlights the plateau of productivity reached with EMRs and the potential for imaging data to enhance healthcare decision-making.

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A Tale of a Two-Brained Beast: Part 2

A Tale of a Two-Brained Beast: Part 2

In our previous blog post, Florent Saint-Clair explored the parallels between the sci-fi movie Pacific Rim and the challenges faced by health systems and their IT infrastructure. In the next chapter, we delve into the ongoing struggle for equality between the EHR (Electronic Health Record) and the concept of the IHR (Imaging Health Record). While the EHR is the primary pilot responsible for patient health records, the IHR is crucial in maintaining accurate imaging records. Join us as we uncover the complexities and strive for a more balanced approach in health IT.

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The Marrakesh Express

The Marrakesh Express

In our latest blog, Herman Oosterwijk, draws a comparison between the use of multiple languages in countries like Morocco and the use of different “languages” in healthcare imaging and IT, specifically the challenges posed by the HL7 standard and its various dialects. The article explores the evolution of HL7 and its attempts to be replaced with more modern standards such as FHIR, as well as the need for middleware to map and connect different systems. And just as countries can function with multiple languages, healthcare can also thrive with different standards and interfaces.

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The Patient Health Record: A Tale of a Two-Brained Beast

The Patient Health Record: A Tale of a Two-Brained Beast

In the 2013 epic sci-fi thriller Pacific Rim, Jaegers are equipped with various formidable weapons to fight Kaijus, yet the Jaeger robots are so complex and powerful that a single pilot cannot bear the neural load necessary to drive and control them. To keep Health IT topics relatable and fun, I find it excessively stimulating to draw parallels between pop culture and aspects of Health IT, which can otherwise be a rather dry subject to cover. In this analogy, the Patient Health Record is the Kaiju to be tamed, and the Health IT enterprise ecosystem is the Jaeger that gets the job done.

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Alternative Facts—Here Comes the Spin Machine

Alternative Facts—Here Comes the Spin Machine

On September 15, 2022, Intelerad unveiled the acquisition of Boston-based Life Image, the leading Cloud-based image-sharing platform. This announcement was a remarkable exercise in spin. The PR exalted the acquisition as a victory for interoperability, and a win for Life Image customers. However, the announcement obfuscated the reality that the merger actually diminishes interoperability, and represents another nail in the coffin of vendor neutrality. If M&A activity can negatively impact end-users and interoperability, why does the Spin Machine consistently offer “Alternate Facts?”

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Protecting the Holy Grail: Cybersecurity Obstacles to Lead Hackers Astray

Protecting the Holy Grail: Cybersecurity Obstacles to Lead Hackers Astray

In the third installment of the Indiana Jones saga, The Last Crusade, the eternal search for the Holy Grail takes center stage. To save his father’s life (played by Sean Connery as Dr. Jones Sr), our hero must pass a series of cumulative and lethal tests in order to reach the final test: choosing the right cup among many possible choices. Each test, if misinterpreted, meant certain death for Indiana Jones, and his father. We’re using this (far-fetched) analogy to make a simple point: if you place enough smart obstacles between bad actors and your patient’s data, you stand a better chance to thwart possible attacks. Enterprise imaging is not a common target for cybersecurity attacks. Therefore when concerns surrounding the DICOM Toolkit (DCMTK) and its vulnerabilities surfaced earlier this year, the industry took note.

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Under pressure—AI FOMO in healthcare

Under pressure—AI FOMO in healthcare

There is a human emotion nearly as universal as fear of the unknown, and that is the fear of missing out (FOMO). I’m sure most of you have heard, read about, observed, or experienced FOMO somewhere by now, and the most likely places where such feelings often arise are Instagram, TikTok or Facebook/Meta. The past HIMSS and SIIM conferences have shown us first-hand evidence that FOMO has become an increasingly influential factor as the AI tsunami continues to flood Healthcare, and particularly the enterprise imaging sector.

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Call me (call me) on the line. Call me, call me any, anytime. Why interoperability across medical image sharing platforms is long overdue.

Call me (call me) on the line. Call me, call me any, anytime. Why interoperability across medical image sharing platforms is long overdue.

In the song “Call me” by American new wave band Blondie, released in 1980, lead singer Debra Harry repeats the lyrics “call me, on the line, call me, call me any, anytime.” This catchy and simple song spent six weeks at number 1 on Billboard Hot 100. Whenever I find myself humming this tune or hear it played in a commercial, I’m reminded of a Radiological Society of North America (RSNA) session I attended 12 years ago when a significant and astute point about phone companies and cloud based image sharing was made.

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Healthcare AI Marketplaces: Three Radiologists Walk Into a Bar…

Healthcare AI Marketplaces: Three Radiologists Walk Into a Bar…

In many ways, AI marketplaces remind me of the Mos Eisley cantina, the most famous dive bar in the Star Wars universe. You don’t know what or who you will encounter. Ben Kenobi and Luke Skywalker were looking to hitch a ride, so they traveled to the cantina with purpose: to find someone who had a transport, and the willingness to fly them to their destination. They found Han Solo but hiring him came with its own set of challenges and baggage, as well as an opportunity cost. But if you don’t know what you’re looking for when stepping in, or if you’re lacking purpose and just browsing what’s being offered, then any answer may be the right one.

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The Elusive Problem of Bias in AI

The Elusive Problem of Bias in AI

To achieve trustworthy AI-dependent healthcare applications, developers need to recognize and mitigate the inherent bias. Learn more about the elusive bias in machine learning, and a framework for identifying bias when analyzing or conceiving an algorithm.

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The Cloud and Imaging in Healthcare: 2024 Outlook

The Cloud and Imaging in Healthcare: 2024 Outlook

The Cloud has revolutionized healthcare by offering on-demand access to data and applications over the Internet, replacing traditional on-premises server networks and providing scalability, flexibility, and efficiency, particularly in medical imaging and data management. As healthcare organizations increasingly adopt cloud solutions, understanding the benefits and challenges of this shift is essential. This article explores the state of cloud computing in healthcare and medical imaging in 2024, highlighting key trends, benefits, and solutions shaping the industry’s future.

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AI Fights Back Part 3: Welcome to the Matrix. Safety of the Enterprise vs. Freedom of the Individual

AI Fights Back Part 3: Welcome to the Matrix. Safety of the Enterprise vs. Freedom of the Individual

In part 1 and 2 of the AI Fights Back Series, we examined vulnerabilities that allow nefarious hackers to penetrate healthcare institutions, battleground protocols, and a new weapon (AI) to be used in the fight against hackers. The final installment in this series covers the cybersecurity adoption journey from the vantage point of IT professionals who are expected to deploy AI while also preserving the integrity of the Enterprise.

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AI Fights Back Part 2: Battleground Protocols

AI Fights Back Part 2: Battleground Protocols

In part 1 of the AI fights back series: Halt, Quo Vadis? (Who Goes There?) we examined vulnerabilities that allow nefarious hackers to penetrate healthcare institutions and the treasure troves of sensitive and broad clinical and financial patient data that they store. In part 2, we will explore battleground protocols and a new weapon (AI) to be used in the fight against hackers.

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Ceci n’est pas une pipe (This is not a pipe): OCR (Optical Character Recognition) progress and pitfalls for healthcare

Ceci n’est pas une pipe (This is not a pipe): OCR (Optical Character Recognition) progress and pitfalls for healthcare

Recognizing objects and patterns in medical images or documents can be fraught with misinterpretation and errors. Distinguishing the meaning of words that are represented by pixels can be even more challenging because words must be first identified, then processed, then understood with the right context and knowledge of that word. While OCR (Optical Character Recognition) has come a long way since Ray Kurzweil’s OCR computer program in the 1970s, it will take continuous improvement in Artificial intelligence (AI) and Machine learning (ML) to advance this technology further.

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Don’t feed Gizmo (AI) after midnight!

Don’t feed Gizmo (AI) after midnight!

In the 1984 Joe Dante film Gremlins, a cute and gentle creature can turn into a nightmarish monster if you don’t precisely follow the care instructions. Training a healthcare AI algorithm, although not quite as dramatic, can give its creators cold sweats nonetheless.

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Taming the AI Gold Rush

Taming the AI Gold Rush

Is AI a threat to physicians? Is it possible for AI algorithms to make physicians obsolete? Will the robots take over? In the second part of this series, Florent Saint-Clair kiboshes some of the many fears associated with AI. And highlights the many advancements the merging of AI and healthcare has benefitted the industry.

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Launching AI Solutions Beyond The Cloud

Launching AI Solutions Beyond The Cloud

Artificial Intelligence (AI) in healthcare imaging is at an inflection point. Despite the growing body of evidence that shows the promise of AI in healthcare, radiology is adopting AI with some hesitation. AI algorithms made available strictly as a cloud solution exclude many healthcare organizations that have not adopted the cloud.

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Advantages of Teleradiology

Advantages of Teleradiology

Radiology has long been at the forefront of technological innovation, with the adoption of teleradiology. The advantages of teleradiology include reduced workload on radiologists, faster turn-around time for patients, and cost savings for hospitals.

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Enterprise Imaging Performance Benchmarking

Enterprise Imaging Performance Benchmarking

In 2018, Dmitriy Tochilnk, President and CTO, Dicom Systems and Trevor Walker, Principal Systems Analyst, Stanford Health Care held a webinar and discussed strategies for evaluating enterprise imaging with real, measurable impact on network performance, clinical workflows, and interoperability. Read selected highlights from this webinar and learn how Systems performance is an effective way to benchmark the value of your enterprise imaging workflows.

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From Radiology to… Archeology?

From Radiology to… Archeology?

When evaluating the IT infrastructure of a healthcare organization, we often see layers of disparate systems and varying degrees of documentation. To avoid unnecessary costs and headaches, we encourage IT departments to plan ahead and implement a sustainable and interoperable IT environment.

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Unsung Heroes of Health IT

Unsung Heroes of Health IT

Unsung Heroes of Health ITAs a Health IT company, Dicom Systems lives at the intersection of multiple worlds, each of which exerts a substantial influence on our work. We are often expected to troubleshoot a VMware or network-related issue with as much proficiency as...

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