by Lawrence H. Schwartz MD
Real work-flow automation became possible when a fully integrated PACS was combined with a disease management approach at Memorial Sloan-Kettering Cancer Center.
Lawrence H. Schwartz, MD
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The goal of a project undertaken in 1998-1999 by the Department
of Radiology at Memorial Sloan-Kettering (MSK) Cancer Center, New
York City, was to create a digital archive of the medical images
produced in the department. At the time, Memorial was opening a
large outpatient center located 15 blocks away from its main
hospital campus. There was a need for patients to be seen along
with their imaging studies in both facilities. It was believed that
a digital archive and distribution could improve the efficiency of
this process such that the time for a radiology procedure may be
shortened, the time of the images to be available would almost
certainly decrease, and, potentially, the time that a radiology
report would be available would be decreased as well. The
department determined that the best means of achieving its aim to
provide efficient service were digital data acquisition, digital
data distribution, and the use of advanced data-analysis tools.
Meeting these three objectives might reasonably be expected, in
turn, to help the department achieve its goal of improving
diagnostic accuracy.
A picture archiving and communications system (PACS) was
identified as the technology most able to unify the department's
pursuit of its objectives and support the institution in reaching
its goals. A preliminary step in pursuing PACS implementation
consisted of reviewing the PACS needs and expectations of
clinicians, radiologists, and the enterprise as a whole. From the
clinician's perspective, the PACS is largely invisible, being one
of several integrated systems providing data at the workstation.
For example, the clinician requires access to the clinical
database, admission-discharge-transfer information, the hospital's
scheduling system, laboratory reports, and the billing system, in
addition to radiology images and reports.
The general PACS features deployed by the institution were made
available to oncologists in December, 1998; all imaging modalities
feed data into the system. Fundamentally, the Digital Imaging and
Communications in Medicine standard was employed so that all
acquisition devices could communicate fully, and digital images and
reports could be retrieved on demand by radiologists and
clinicians. The PACS features most useful to oncologists and
oncologic surgeons included the ability to compare a current study
with a prior examination and to compare multiple imaging modalities
on a single- or dual-monitor screen. It is now possible for an
oncologist or surgeon to review a CT, MRI, and PET scan
simultaneously and reference findings on one examination with
another. In order to accomplish this goal, MSK decided to digitally
migrate approximately 2 years' worth of CT and MRI images on
magneto-optical disks into the PACS.
Nonradiologist clinicians use PACS extensively to review current
imaging studies during outpatient visits. Our analysis has
demonstrated that busy clinicians will review images on PACS
between 50% and 80% of outpatient visits. They will frequently
compare these studies with older examinations to assess for
interval change.
PRIOR STUDIES
The need of oncologists for access to prior studies is clear.
This need is more intense than in many other practices. For
example, the recall rate in an average emergency department after 2
weeks is relatively low. The recall rate in a clinician's office,
such as an orthopedic surgeon, is moderate, but is very high in an
oncology practice where it is hoped that patients return for
follow-up visits and those with solid tumors generally have their
disease assessed with new imaging studies. For this reason, digital
image storage is a great advantage. Many PACS consist of a two tier
archivea deep archive holds older or less accessed imagesand
retrieval from the "deep" archive is generally on the order of
minutes, in comparison to the arrays of hard drives with rapid
access in seconds. Many centers, ourselves included, are in the
process of building up the rapid retrieval to handle a greater
capacity of studies, thus optimizing system performance.
In order to promote efficient use of the PACS user's time, the
system attempts to predict which studies will be needed from the
archive. This permits them to be moved from the archive to disk
storage so they can be viewed quickly. This process, called
prefetching, typically uses a patient's upcoming examination as the
prompt to retrieve the relevant prior images according to protocols
set in advance. For example, a clinic appointment may trigger a
different level of prefetching than a radiology visit would; users
may also determine how many studies will be prefetched and whether
they will limit prefetching to certain modalities, body parts, or
reasons for imaging (such as preoperative examinations). The length
of time that prefetched studies will remain available may also be
predetermined.
If a patient's visit has been scheduled in advance, prior
examinations can be prefetched by the PACS during the evening
preceding the appointment. This protocol helps improve data-network
traffic because fewer clinicians are likely to request images at
this time. A more urgent visit that takes place on the same day
that it was scheduled, however, will still trigger the prefetching
of prior examinations. For oncology clinic appointments, we have
found that prefetching the previous year's examinations is
satisfactory; for radiology appointments, the previous six
examinations of the matching body part are prefetched. As rapid
access, classically considered short-term storage is increased,
some of these rules and paradigms will have to change.
The availability of prior imaging studies for comparison
purposes is essential to the success of a clinical PACS. The
historical archive of imaging studies may be developed naturally
over time as digital images accumulate, or it may be created all at
once through migration of existing digital images from their
storage media to the PACS archive. The cost of allowing the archive
to grow naturally may be significant, primarily because the
previous storage and retrieval systems for images outside the PACS
archive must be maintained. In addition, physicians are likely to
be frustrated by the need to obtain prior images from two different
systems. Confusion is also to be expected when prior studies are
needed in order to perform new radiology studies. For these
reasons, it is preferable to move as many stored images as possible
to the PACS.
At Memorial Sloan-Kettering Cancer Center, migration to the PACS
was performed for 49,985 CT and MRI examinations. The success of
migration of this digital data was due in part to the ability to
match the image data with data in the radiology information system.
Matching this data was not trivial. In 40% of cases, matching of
patient information was found to be inaccurate due to typographical
errors or varying use of abbreviations in patient data.
Nonetheless, data migration was believed to be beneficial and
economical because it diminished film-library requests and
accelerated the acceptance of PACS by radiologists and referring
physicians.
WORK LISTS
Work lists automate the process of identifying patient studies
for review. PACS work lists prevent reading of the same study by
two radiologists; they also help distribute work appropriately
(based on the subspecialties and work loads of the individuals who
will interpret the images). Departments can set protocols that will
be used by the system to meet their image-distribution needs and
preferences. The output of multiple modalities or devices can be
combined in one work list; likewise, multiple radiologists may
chose to share one work list, thus facilitating image
interpretation by residents and fellows, if necessary. Work lists
have facilitated subspecialty care and expert consultation, even
with radiologists spread across multiple campuses.
Complete connectivity is the invisible element that makes a
constantly updated work list possible. The system must have access,
in real time, to information concerning patient status, ordered
imaging studies, upcoming clinic visits, clinical history (as
needed for image interpretation), and verified radiology reports
for clinical review.
SPEECH RECOGNITION
As imaging studies are more rapidly available to clinicians for
review, it is also essential for the radiologist's report to be
available as well. Automated speech recognition (ASR) systems
recognize continuous speech with a high level of accuracy, and
allow for more rapid distribution of the dictated report. Ideally,
speech recognition is speaker independent and includes a vocabulary
of 20,000 to 70,000 words. The potential benefits of ASR are
reduced costs, decreased time between image acquisition and report
distribution, and more rapid availability to clinics of images with
reports (through ASR's compatibility with PACS). The economic
arguments favoring ASR are powerful. For example, a facility that
generates 100,000 imaging reports per year and pays
transcriptionists an average of $2 per report will spend $200,000.
The same reports, if generated by 20 radiologists using ASR at 20
workstations, will initially cost $10,000 per workstation and
$50,000 for training, or $250,000. This system may therefore pay
for itself in a short period of time.
Of course, some prerequisites must be met before ASR can be
adopted. Radiologists must be motivated to change their work
habits, since they will be expected to assume the new tasks of
proofreading and correcting their reports. While some radiologists
will always turn in error-free reports, others will need to expend
considerable effort to acquire this skill. For this reason, the
facility must be willing to accept slower reporting during the
initial phases of ASR implementation.
CONCLUSION
When a fully integrated PACS is in place and archival access,
customized work lists, and ASR are combined with a
disease-management approach, real work-flow automation becomes
possible. PACS has complemented a disease management approach to
oncology care at Memorial Sloan-Kettering Cancer Center.
Subspecialists in oncology may review imaging studies in any
location in the hospital enterprise. Radiologists also with
subspecialty care may review imaging studies for their clinical
colleagues again wherever they may be in the enterpriseeven if
physically separated by distances. Patients can travel through the
system without the need for their film jacket to go with them.
Imaging studies may be displayed in operating rooms or at clinical
conferences with ease and assurance that the images will be
available. It is this type of efficiency that helps promote better,
interactive, and informed patient care decisions.
This article has been adapted from PACS in Oncology Practice,
which he presented at the 88th annual meeting of the Radiological
Society of North America on December 3, 2002, in Chicago.
Lawrence H. Schwartz, MD, is a radiologist in the Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York City.