
Regarding the P for pictures: In the first generation view
stations, the software was not as sophisticated, it had only basic
functionality, and the viewers were thick clients, meaning that the images had
to be downloaded to the local workstation and all of the processing was done
locally. These view stations were mimicking a alternator, both in size and
functionality, mostly displaying images in a landscape format.
By the second generation, radiologists discovered that they
did not really needed 8 monitors but can view cross sectional studies using
“stacking” and virtually integrating the3-D in their mind. The viewers added
more sophisticated hanging protocols, aka DDP’s or Default Display Protocols,
which refers back to how films were ”hanged” on a light box. How the images are
sorted can depend on the modality, (e.g. Mammography), body part (e.g. Chest or
extremity), specialty (e.g. Neuro) and individual preferences. Re-arranging
images and sorting through literally hundreds of them in case of a
cross-sectional study such as a CT or MRI is a burden for the radiologist and
takes time. Inconsistent display can also be cause for medical errors, imagine
that the new study is always displayed on the top of a monitor and the prior
one on the bottom and that for some reason, this is reversed, this could cause
the radiologist to report the wrong study. Voice aka Speech Recognition has
become routine. Some studies, initially mammography, are subjected to Computer
Aided Diagnosis which creates a “second opinion” for the radiologist by marking
the images with CAD marks for clinical findings.
The 3rd generation workstations are accommodating
different specialties in addition to radiology such as cardiology,
ophthalmology, dermatology, and others, commonly referred to as “ologies”. The
viewer becomes a Universal viewer which instead of a thick client is now a thin
client which does not leave any trace of patient information after the user has
logged out, aka a “zero-footprint”. Some modalities create images and/or
studies with huge file sizes in excess to 1 GigaByta, which makes it more
efficient to do what is called “server-side” rendering whereby the viewer
functions as a remote window to a server which performs the processing.
The fourth generation of viewers implement web services that
also allow for mobile access, i.e. look at the images from a mobile device
whether it is a tablet or smart phone using the DICOMWeb protocol. What used to
be called CAD is now replaced with Artificial Intelligence or AI which spans
many more detections of various diseases in addition to automating the workflow
for the radiologist. As an example, AI can detect a critical finding and
automatically bump the study to the top of the worklist. It can also remember
and learn physician preferences and support his or her workflow.
The next component of the PACS is the Archiving and image
and information management. The early generations of PACS systems were limited
by cost of archive media. Most systems would archive studies with a certain age
on a second or third tier, slower and less expensive media such as Magnetic
optical disks, tape, or even store it off-line.
In the second generation, the big Storage Area Networks and
Networked Attached Storage Devices were introduced having multiple arrays of
inexpensive disks called RAID’s which is still the most common configuration. Because
of some natural disasters and hardware failures, most hospitals learned the
hard way that redundancy and backup is critical so most of these archive
systems by now have at least one mirrored copy and a sound backup. CD’s become
the standard for image exchange between physicians.
In the 3rd generation, data migration as well as
life cycle management is becoming a major issue. Many hospitals are replacing
their PACS vendor and find out that it is really hard, costly and lengthy to
migrate their images to another archive from a different vendor. They were
looking for remote storage solutions, i.e. SSP’s, or buying a Vendor Neutral
Archive (VNA) to take control over their image archive and not being dependent
and locked in by a single PACS vendor. Some hospitals went all the way and
deconstructed their PACS by buying workstations, workflow managers, routers in
addition to their VNA and built their own PACS more or less from scratch, Cloud
providers are making an in-road, and life cyscle management becomes important
as not every hospital wants to store all the studies for ever but want to
implement retention rules.
The fourth generation will see a shift to virtual storage,
i.e. you won’t know or need to know where the images are archived, whether it
is in the cloud or local, in which case it is most likely on solid state
memory, providing very fast and reliable access. Images are now archived from
anywhere in the enterprise, whether it is from a camera in the ER, to a Pint Of
Care (POC) Ultrasound at the bed site or a video camera from physical therapy.
The boundaries between documents and images is getting blurred, some store
everything on one server, some use two distinct information management systems.
Cyber security is a major concern, as malware is becoming a real threat and
ransomware already has caused major downtimes, requiring strict security
policies and mechanisms to protect the data.
The communication part of PACS has gone some major changes
as well. Initially, each PACS had its own dedicated network, because sending
images over the existing infrastructure would bring down the complete network.
Speeds were up to about 100 Megabit/second, which was OK for the relative small
image and study sizes. The second generation networks were upgraded to fiber
instead of copper wire allowing speeds in excess of 1 Gigabit/Second. Network
technology advanced allowing the PACS networks to be part of the overall
hospital infrastructure by reconfiguring the routers and creating Virtual Local
Area Networks aka VLAN’s. The third generation of network technology starts to
replace the CD’s exchange with cloud based image exchange using brokers, i.e.
having a 3rd party taking care of your information delivery to
patients as well as physicians. In the fourth generation, we see the
introduction of Webservices in the form FHIR and DICOMWeb allowing for
distribution on mobile devices, we are needing to create new profiles to deal
with encounter based imaging instead of order based imaging using universal
worklists and of course, security is becoming a major threat requiring
firewalls, the use of DMZ’s to screen your outside connections and cyber
security monitoring tools.
The fourth component of the PACS is the “System” component
which mostly includes workflow support, of which there was initially very
little. In the second generation, there has been a shift from PACS driven to
RIS driven worklists and IHE starts to make an impact by defining multiple use
cases with their corresponding HL7, DICOM and other standards. In the 3rd
generation, the annual IHE connectathons have made a major impact as it
provides a neutral testing ground for proving that these IHE profiles really
work. The worklists at the radiologist are becoming EMR driven and orders are
placed using a Centralized Physician Order Entry (CPOE) system, often at the
EMR. The last generation we see the use of cross enterprise information
exchange starting to take place using IHE standards such as XDS, in a secure
manner making sure that consents are in place and that authentication and audit
trails are being utilized in the form of ATNA standards. Patients are also able
to upload their information from the Personal Health Records (PHR) and
wearables.
As you can see, we have come a long way since the early PACS
days and we still have a bright future ahead of us. I am sure in another 5
years there will be some more changes to come.