
Use cases: There are many
clinical disciplines that need to exchange images, the most common is the exchange of radiology images for review
and evaluation, however, practitioners in pathology, ophthalmology, dermatology
and many other specialties also require image sharing. The most popular use
cases are as follows:
Emergency medicine scenario
Often
during off-hours, a study has to be reviewed and reported causing a preliminary
report to be generated and sent back to the requester within a very limited
timeframe, e.g. 15-30 minutes. A more detailed report is often created when a radiologist
or other specialty practitioner is available, e.g. during regular working
hours.
Primary radiology coverage
This
is when a radiologist is not present onsite, such as is often the case in rural
areas, or when a radiologist covers clinics in the suburbs, or provides
coverage for disaster or war zones. In this case exchanging images with the
onsite clinicians is essential. Instead of the “preliminary” read as used in
the emergency scenario, the practitioner creates a final report.
Second opinion
When
a specialist is looking for an opinion from a peer who might have more
experience with a certain imaging modality or particular disease pattern, an
image exchange is needed. This is commonly used when new modalities or
acquisition techniques are implemented, such as CT/PET or MR/PET, or if the
occurrence of a certain disease is not common in a particular region, for
example, when a patient returns sick from travel to a tropical country to the
US where physicians might not be familiar with let’s say malaria. This scenario
is where social media also might play a role.
Comparison or referral
This occurs
when the primary reason for the image exchange is not to make a diagnosis from
the original study, as that already has taken place, but to have the previous studies
available. For example, a patient is treated in another location and previous
exams have to be viewed for either comparison to a new study, or what is more
often the case, the previous study could be used to assess the patient’s
condition without having to repeat that procedure again. This scenario
“re-uses” the studies and reports as input to diagnosis and further treatment.
Implementation: Each image
sharing application does not necessarily have a single implementation but a
certain use case can be implemented using different methods, however, some of
the architectures are more suitable to specific use cases than others. Let’s
look at the mechanisms to exchange the studies.
Point-to-point modality to viewer: A technologist can
push certain studies directly from a modality, such as a CT in an ER, to a doctor’s
home for review at his or her DICOM viewer. There is a direct connection from
the CT to the physician.
PACS to viewer: A PACS system could be set-up to
route all STAT studies arriving from a modality directly to a physician’s
workstation. This is similar to the point-to-point modality to viewer push, but
the advantage is that there is a copy available at the PACS as that is used as
an intermediary. If there are multiple modalities that have to share images,
the sending can be centralized from a single source, i.e. the PACS router. If a
PACS does not support sophisticated routing using rules determined by
information in the image header in order to determine what information goes where,
one could use an add-on image router, which can be provided by several
manufacturers.
PACS worklist: Images are sent to the PACS, and the
radiologist has access to the PACS worklist using the PACS workstation. The
workflow management features of the PACS can be used to indicate which studies
are STAT, which ones are being read, etc. This works well if a radiologist only
reads from one hospital, or multiple institutions that all have the same PACS
system. The same workflow is used whether the radiologist reads the images
locally, or he or she accesses the PACS from a remote location.
Aggregate PACS: If the radiologists have to read from
multiple different PACS systems, it makes sense for them to use their own
mini-PACS servers and worklist management. This is typically how nighthawk or
emergency medicine works, as these radiologists support many different
hospitals, each with their own PACS systems from different vendors. The images
are therefore routed from either the modality or the PACS to a Teleradiology
PACS server, which aggregates the multiple work lists. The radiologist
retrieves them from the Teleradiology server and does the reporting. The
workstation uses a new “combined” worklist.
PACS web server: Several PACS systems provide a web
server, or one can purchase a web server from a different vendor. The web
server can be embedded in the PACS core software, or implemented as a separate
hardware box, which will have a copy of the images from the PACS. Images are
typically retrieved over the web and if one uses a true zero-footprint viewer,
there is no trace left on the viewer after the user logs off, which satisfies
privacy and security regulations. The worklist capabilities are often not
present or less sophisticated as when using the aggregate PACS worklist. The
advantage of a separate vs. an integrated web server is that images are
available even if the PACS might be down, and therefore this access type can
also serve as a backup. One could also use a mini-web server which gets the
information directly from the acquisition modality, but that only makes sense
for a small clinic with only one or two modalities and no PACS to speak of.
EMR: Instead of using a PACS, one can also use an
electronic health record to view the images. The advantage is that there is
much more contextual information available including lab results, previous
reports, patient history, etc. Image enabling of an EMR differs from vendor to
vendor. One can use a PACS plug-in, which basically launches a viewer inside
the EMR window after exchanging the appropriate context information such as an
Accession Number, or one could do its own query and retrieval from the EMR
viewer to the PACS database or from an enterprise image manager and archive
solution such as a Vendor Neutral Archive or VNA.
Image sharing using the cloud: Images can be
exchanged using an external image sharing service, which functions as a broker
and forwards the images to the recipient. There are two versions, i.e. either
the cloud service provider uses only a store-and-forward mechanism, or the
cloud functions as a repository and keeps the images for a certain time period.
Institutions need to subscribe to the cloud service provider for a fee. This
solution makes sense for institutions that regularly exchange information but
not often enough to warrant a dedicated link to each other. A good example
would be an academic or specialty hospital with relationships with several
other institutions in a geographic area that refer patients on a regular basis
and want to exchange images. Note that the institution is tied into one
particular cloud provider that exchanges the information, which is typically in
a proprietary method.
Image sharing using a Health Information Exchange (HIE):
This uses the same architecture as used by the commercial cloud provider,
however, the implementation follows open standards. The HIE can be private, for
example as established within a provider network with several hospitals and/or
clinics, or it can be public, for example as those being established as part of
the incentives by the US federal government to improve healthcare.
Image sharing using a Personal Health record (PHR):
The main application of the many PHR’s that are being rolled out are scheduling
appointments, re-ordering prescriptions, having access to physicians notes and
maintaining a communication channel between the patient and provider. The
ultimate PHR would also allow for maintaining certain healthcare information, and
it could be used for a patient to upload their images to have them available
whenever needed. A patient would simply authorize the provider access to the
information, which can then be exchanged in a standard manner.
CD exchange: For comparison or referral purposes,
images are often hand-carried by the patient, which has its own logistics and
interoperability challenges. A chronically sick patient might have literally dozens
of CD’s that need to be exchanged at each appointment with a different
specialist. There are still institutions that do not create images compliant
with standards, making them impossible to read and/or import in a workstation
for comparison. The AMA has complained about the wide variety of embedded image
viewers, however, the resulting IHE profile definition, which is an attempt to
standardize features and icons, does not seem to have gotten much traction.
This is still the most common method of exchanging images for referral, which
hopefully will be replaced in the not too distant future with other image
sharing options described here.
Image sharing using social media: It is not uncommon
for patients to post their images publicly on the Internet, sometimes just to share
them, but also to ask for advice, in particular if it concerns a rare disease
or something that is hard to diagnose. It is similar to radiology portals
posting their “case-of-the-day” or of the week, but with the difference that
the diagnosis is not (yet) known. There are also physicians that use their own Facebook
or other social network to ask for advice. This is still an exception, and
seems to contradict the increasing emphasis on patient privacy, however, I
would argue that if a patient has no interest in keeping his information
private, but rather would like to get as much exposure as possible for these
images in order to get as many opinions as possible, this might be a valid option.
Connectivity: The network
connectivity between the sending and receiving sides can be implemented in
different ways; some are more common for certain applications than others. The
most common implementations are:
SNKR - Sneakernet: In the CD exchange scenario, the
information is exchanged in person or by mail, commonly referred to as the “sneakernet.”
PPDCM - Point to point DICOM: Images are typically exchanged
between modalities or a PACS and pushed to a remote viewing station or to a
Teleradiology PACS server using the DICOM format and protocol. In the case that
one uses the public Internet, a VPN is set up to guarantee confidentiality of
the information to be exchanged. The DICOM protocol relies on the reliable
delivery by the underlying TCP/IP communication layers. If the bandwidth of the
connection is limited and/or the study sizes are large, standard DICOM
compression is used such as JPEG or Wavelet (aka JPEG2000).
GTWAY - DICOM to edge server/gateway: If the
connection to the Internet is unreliable, or not available, one might need to
use alternative communication channels such as the phone network or dedicated
satellite links. In that case, an edge server or gateway is used that converts
the DICOM protocol in a proprietary protocol, which in most cases uses a high
compression ratio and very robust communication protocol. The gateway functions
as a store-and-forward box, making sure that delivery is taken care of. This
edge server talks to a server or a destination that has the reverse gateway,
i.e. makes sure the images are received without any corruption and preferably then
uses DICOM to pass them on. This solution is common for Teleradiology
applications in rural areas, or disaster and military zones.
PPP - Point to point proprietary: This is commonly
used by workstations that access the PACS server of the same vendor. They use
the radiology worklist provided by the PACS, and, if they use a public network,
a VPN is needed to encrypt the information being exchanged.
WEB - Web based protocol: The web server clients
typically use a secure https protocol to access the images. Some PACS vendors
also use https for regular in-house image access, but this is not common.
EML- Email: Emailing an image poses quite a few
issues as the images are quite large even if they are compressed, and there is
no context information. This assumes that one uses secure email to start with
and that the receiver can recognize the .dcm file extensions, which are created
for that purpose. DICOM has addressed this but the DICOM email has never taken
off in the US, although it has been implemented in Germany and is somewhat
common there.
XPHR - Personal Health Record Exchange: This is an
HL7 version 3 document exchange definition using the CDA or Clinical Document
Architecture, which can exchange all relevant information between the Personal
Health Record and a Electronic Medical Record.
XDS-I - Cross Document-Image sharing: The IHE
organization has defined a series of profiles, including how to exchange
documents and images. The XDS-I profile uses a series of transactions that
allow an image producer and consumer to exchange both registry and repository
information with a HIE. The image exchange uses the web version of the DICOM
protocol, aka WADO or Web Access to DICOM objects. The XDS-I protocol is widely
implemented by PACS vendors, especially those who claim to offer a Vendor
Neutral Archive or VNA, however the number of institutions that actually use
this protocol, especially in the US, is still relatively sparse. Note that
there are also different variants of this mechanism defined by IHE, i.e. the Cross
Community Access for Imaging (XCA-I) and the Cross Enterprise Document reliable
Image exchange method (XDR-I). These are not using a registry but providing a direct
query/retrieve and push mechanism for image exchange. These implementations are
also still in their infancy.
RSTF - Restful Services: A new version of the DICOM
protocol is being defined which expands beyond the WADO protocol and has
greater functionality. The “traditional” DICOM protocol that includes a
negotiation step to set up the association between two devices and uses the
DICOM specific set of commands is not that suitable for accessing information
over the web. This new DICOM extension is still very much in its early phases,
however it might become popular as the need for web based access, especially from
embedded viewers in an EMR becomes common.
INT- Internet: uploading images on a server using a
proprietary protocol is typically used by social media, such as Facebook or
other image-sharing services. The image would have to be converted to a
web-friendly image type such as JPEG or TIFF, which almost certainly impacts
the image quality. Therefore, one can typically only see gross anatomy and
small findings are almost certainly not visible.
The table below shows the use cases with their typical
architectures and the communication options that would be commonly used.
|
|
Use
cases
|
|||
|
Em. Medicine
|
Prim. Reading
|
Second Opinion
|
Referral
|
|
Implementation
|
Modality to viewer
|
PPDCM,
GTWAY
|
PPDCM,
GTWAY
|
EML
|
EML
|
PACS to viewer
|
PPDCM,
GTWAY
|
PPDCM,
GTWAY
|
EML
|
EML
|
|
PACS worklist
|
PPP
|
PPP
|
|
|
|
Multiple PACS
|
PPP
|
PPP
|
|
|
|
PACS web server
|
WEB,
GTWAY
|
WEB,
GTWAY
|
|
|
|
EMR access
|
WEB,
GTWAY
|
|
WEB,
GTWAY,RSTF
|
WEB,
GTWAY, RSTF
|
|
Cloud sharing
|
|
|
GTWAY,
EML, RSTF
|
GTWAY,
EML, RSTF
|
|
HIE sharing
|
|
|
XDS-I,
RSTF
|
XDS-I,
RSTF
|
|
PHR sharing
|
|
|
XPHR
|
XPHR
|
|
CD exchange
|
|
SNKR
|
SNKR
|
SNKR
|
|
Social media
|
|
|
INT
|
|
Maturity: Some of the
architectures and connections as described above are very mature, as a matter
of fact, Teleradiology was implemented widely during the 1990’s, but some of
these methods such as cloud services, the use of the XDS protocol, and Restful Services
are still very much in their infancy. One way
to express the maturity is by using the “hype
cycle” used by the IT consulting firm Gartner, which is used to represent
the maturity, adoption and social application of emerging technologies. It maps
maturity against visibility in a curve and it identifies five phases: 1) the technology trigger, where a potential
new technology kicks off, 2) the peak of the inflated expectations, when a
number of success stories as well as failures are produced, 3) the trough of
disillusionment, when interest wanes as implementations fail to deliver, 4) the
scope of enlightenment when the technology is starting to be understood and 5)
the plateau of productivity when mainstream adoption takes off. I have listed
my assessment of these technologies on this curve in the figure below.
In conclusion, there are many reasons for image exchange, and
several different architectures and implementations with different
communication mechanisms. Each has its advantages, some of which are very
mature and some still very immature. Both the industry and provider community
are trying to figure out how and what to do knowing that many of the solutions
are still in the early phases of the hype cycle. Time will tell which method
and protocol will prevail, but, as with any technology, at that time there will
be other technologies pushing the curve, which makes this field so interesting
and never boring.