
Picture archiving and communication system
27
MENTIONS
6
EPISODES
5
PODCASTS
Search complete. 27 mentions across 6 episodes found for "Picture archiving and communication system".
Oct 29, 2026
The Next Era of Health Data: AI, Open APIs, and the End of the EHR Oligopoly
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5:19Thomas KeaneGUEST
Between 2004 and 2010, to be perfectly frank, a lot didn't happen because there were very few incentives for hospitals to adopt.
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5:27Thomas KeaneGUEST
Some technologies like PACS technology that enables diagnostic imaging, this was adopted without any government incentives or mandates because there was a profit motive and a interoperability motive and a care motive that all the hospitals were exposed to.
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5:43Thomas KeaneGUEST
So the first PACS system was in 1989 at the University of Maryland and by the year 2007.
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5:48Thomas KeaneGUEST
Adoption of PAC systems was near universal in hospitals.
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5:52Thomas KeaneGUEST
The same thing did not happen between 2004 and 2010, the first six years in which President Bush had hoped that ONC would allow for health IT adoption.
“Where is it? Get it back quickly!” What happened when one hospital’s AI went offline for a weekend
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6:37Nuala HealyGUEST
But they also had, you know, other things to deal with.
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6:40Nuala HealyGUEST
The PACS office.
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6:41Nuala HealyGUEST
So these are the people who look after the imaging side of things.
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6:46Nuala HealyGUEST
And I guess they're the main people, but getting all of them together, your data protection officer, sorry, I forgot to mention them because they're key players filling in your data protection impact assessment and making sure that everything is above board, the governance processes are in place effectively.
Enterprise Radiology AI: Scaling Beyond Stroke with David Stoffel | Scanning the Market
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19:56David StoffelGUEST
You're able to see everything that ran on that specific part of the anatomy.
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20:00David StoffelGUEST
we also have a communication feature where the radiologist can communicate or even share the image with the mobile team to say hey this is what i've seen or be able to communicate in real time with them should the radiologist choose to do that because that really is an important element to connect the radiologist to the rest of the team if they he or she wants to It's also really important, and this is unique for us, you can push that image over to PACS.
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20:28David StoffelGUEST
Sometimes you only have the image and it just stays there.
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20:34David StoffelGUEST
That really isn't as helpful.
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20:35David StoffelGUEST
You look at things like perfusion or you look at things like measurement.
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20:38David StoffelGUEST
You really want to be able to carry that over into the PACS environment.
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20:42David StoffelGUEST
That's, again, one more step that we're automating and that we're eliminating for them.
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20:46David StoffelGUEST
Other parts of it is that our AI viewer, instead of just getting a static image of one thing, it's like, okay, this is what the AI saw.
Hack the PACS: DICOM, Ransomware, and the Future of Healthcare Cybersecurity | Dr. Benoit Desjardins
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0:21Jason NagelsHOST
That's cybersecurity.
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0:23Jason NagelsHOST
Our episode today is called Hack the PACS: DICOM, Ransomware, and the Future of Healthcare Cybersecurity.
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0:31Jason NagelsHOST
And I'll be honest, when I started preparing for this conversation, I realized pretty quickly that I had found someone who was almost unfairly qualified to talk about this subject.
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0:41Jason NagelsHOST
My guest is Dr. Benoit Desjardins.
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1:43Jason NagelsHOST
He also has a PhD in artificial intelligence, and his cybersecurity research has included something particularly relevant to everyone listening to this show, medical images themselves as a potential attack service.
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1:59Jason NagelsHOST
And that's where this conversation gets really interesting.
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2:02Jason NagelsHOST
We talk about what actually happens to patient care when the PACS goes down.
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2:07Jason NagelsHOST
We get into ransomware, phishing, ransomware-as-a-service, nation-state attackers, and the uncomfortable economics behind paying a ransom.
What the 1990s PACS Revolution Teaches Us About AI | Dr. Eliot Siegel
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9:17Eliot SiegelGUEST
It required brand new hardware, it required networks, it required connectivity to an electronic medical record that didn't even exist in 1993.
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9:27Eliot SiegelGUEST
So PACS required us to do the wiring throughout the hospital so the workstations could communicate the images because there was no ethernet back in 1993 in hospitals.
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9:38Eliot SiegelGUEST
The EMR came know a while later in most places except for the va so in the short term it seemed like a much greater change in a short period of time whereas now with ai i think the long-term implications of ai are more profound in that they will ai will have a major change in the way we cognitively relate to patient information and patient images and cross correlating those.
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10:12Eliot SiegelGUEST
But I think at this point, we're so early that I would still venture to say that 99% of diagnostic imaging studies in the US and throughout the world are not interpreted with the assistance of AI.
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11:59Eliot SiegelGUEST
And so nobody does a return on investment now to look at whether they should be utilizing a PAC system.
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12:06Eliot SiegelGUEST
It is just assumed that it is a part of the electronic medical record or certainly a close brother or sister to the electronic medical record and necessary.
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12:16Eliot SiegelGUEST
I think as time goes on, what's going to happen is all of these cost-benefit analyses we're doing with individual AI applications will be anachronistic to some extent also, because I think so much of this is going to be built into the routine way that a PACS functions.
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12:35Eliot SiegelGUEST
And so I think many of these things that we're consuming as software will become available more universally without purchasing them separately.
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Unknown podcast
Company Spotlight: Brainomix 360 Hyperdensity - Automating Brain Bleed Measurement
Oct 7 · 3 Mentions
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3:20speaker_1UNKNOWN
For slices that include hyperdensities, the volume is mentioned in a color legend that is overlaid on the slice.
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3:27speaker_1UNKNOWN
All of this is then exported and sent to a pre-configured PACS destination, along with the original scans for the physician to review.
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3:36speaker_0UNKNOWN
That is a crucial point.
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3:38speaker_0UNKNOWN
It goes straight to the PACS, which is the hospital's primary viewing system.
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3:41speaker_0UNKNOWN
But what if the AI gets it wrong? What if the algorithm includes a bit of the skull or misses a piece of the bleed? Can the doctor edit the volume?
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3:50speaker_1UNKNOWN
That is an interesting detail in the document.
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4:08speaker_0UNKNOWN
They have a way to correct it.
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4:10speaker_1UNKNOWN
But there is a catch.