As the inclusion of patient images in clinical trials starts to become mainstream due to a stiff push from the FDA's Critical
Path Initiative, pharmaceutical companies and CROs would be well served to understand the impact that this shift will have
on their existing workflow, viewing, and data management systems and applications.
Unlike traditional document-based clinical trials, new clinical trial protocols that feature medical images add a layer of
complexity associated with the uniform acquisition, management, reading, and subsequent audit and storage of patient images
primarily for regulatory, research or adverse event purposes. These new requirements should be taken into consideration to
allow time for pharmas and CROs to plan for the necessary upgrades to their front-end applications and back-end infrastructures.
This article will examine the impact that the inclusion of images in clinical trials will have on trial study acquisition;
study workflow, reading, and submission; and data management, archiving, and protection. It will also present some recommendations
that organizations can undertake today to minimize the impact that the addition of images will have on their existing applications
and infrastructures.
A parallel for pharma in health careTo understand the kind of impact that the shift from documents to digital images can have on an organization's IT systems,
it is not necessary to look far: One can easily be found in the shift that took place earlier this decade in the health care
industry. With increasing pressure from the government and health insurance companies to improve patient outcomes, and pressure
from shareholders to improve business results, many hospitals started to modernize their clinical IT systems in the late 1990s.
The first shift involved moving to integrated hospital information systems that enabled physicians and administrators to manage
the flow of patients (admission, treatment, discharge, and billing) more effectively and at a lower cost. A second, more recent,
and significant shift has been the aggressive move from film-based medical imaging (remember the film based x-rays that you
had to carry around from doctor to doctor?) to newer digital information systems and picture archiving and communication systems
(PACS) that enable those images to be digitized, shared, and over time included into an electronic medical record (a single,
secure, and shareable view of a patient's medical profile).
The implementation of these PACS systems has been very rapid, with adoption rates that were in the teens just five years ago
rocketing to 80% in the United States and Canada today.
This rapid shift to digital from document-based systems, however, was not met with an accompanying upgrade of the existing
workflow and data management infrastructure. First, the addition of images that can be 10 to 30 times larger than documents
put a massive strain on the storage systems installed at most hospitals. Second, since these images were no longer available
in physical form, hospitals were forced to share or replicate these images across locations, thereby straining the hospital's
network and middleware infrastructure. Third, significantly easier access to patient images caused clinicians and doctors
to ask for more information (e.g., earlier patient studies or newer views of data) across multiple locations, thereby compounding
the problem.
 Figure 1. Three independent but integrated architectural layers
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As more systems were installed and patient study volume grew, IT was not able to keep up. As a result, health care IT departments
have faced significant challenges in meeting the application uptime, reliability, performance, and data protection service
levels that they were able to easily offer their users just a few years before. Clearly, many of the challenges that hospitals
are facing today are challenges that pharmaceutical companies and CROs will be wrestling with soon.
Image-enabled clinical trials infrastructure
When designing a robust and scalable image-enabled trial infrastructure, it is helpful to understand the different architectural
layers and their respective functions. Figure 1 shows such an architecture and describes an image-enabled clinical architecture
consisting of three independent but integrated layers:
- the application layer
- the image management layer
- the storage management layer.