This e-book is based on research conducted by and published in a white paper from Signify Research.
Learn how to measure the return on investment of moving your enterprise imaging to the cloud.
Enterprise imaging in the cloud: transforming the future of patient care
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Select a chapter below to continue.
Cloud transformation: cross-discipline care and integrated care
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Cloud transformation: precision medicine and new digital models
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Cloud transformation: AI and advanced analytics
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Hybrid models and multi-cloud
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Imaging in the cloud: hybrid candidates
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Imaging in the cloud: multi-cloud candidates
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Taking the next step
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Unify the Patient Journey With a Robust Digital Patient Engagement and Revenue Cycle Strategy.
Read the other e-books in the series:
In the first e-book of this series we explained how siloed on-premises systems often aren’t able to support the expanding use of medical imaging and can impede the broad access necessary for optimised patient care. The second e-book of this series outlined the diverse benefits that make enterprise imaging in the cloud a compelling investment.
In this third e-book, we’ll look at developing a road map to help migrate to the cloud to transform medical imaging and help enhance patient care.
Enterprise imaging in the cloud can enable broader access to imaging data while also making it easier to share imaging data across care teams. Diagnosticians and clinical staff from different departments can collaborate quickly and with ease as they assess all the diverse content relevant to any individual patient. The result: more integrated care for every patient, unhindered by the limitations of manual, ad hoc image and data sharing.
According to a white paper from Signify Research, three key benefits are driving the adoption of enterprise imaging by healthcare providers facing today’s price and performance pressures.
Together, in vivo and in vitro diagnostics will enable precision medicine that takes into account individuals’ genes, environments, and lifestyles to target the right treatments to the right patients at the right time. Healthcare organisations will also leverage data to increasingly embrace disciplines such as genomics and population pathology in the furtherance of both their clinical and operational objectives. Only cloud provides scale, performance, and data agility required for leveraging high volumes of large data files across diverse locations and departments.
The cloud has tremendous potential when it comes to unifying diverse systems into a unified enterprise imaging environment. In fact, it is only through a cloud architecture that healthcare organisations can achieve anytime, anywhere access with adaptable on-demand scalability.
Leverage shared AI/analytic capabilities by applying them to any target set of imaging data on demand. Provide imaging data for diverse AI-based applications. Provide the compute power necessary for data-dependent research at scale. Automate a rising number of manual tasks.
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AI and analytics empower healthcare providers to get maximum value from their ever-expanding imaging capabilities and their ever-growing repositories of patient data. Of note are decision-support tools that improve diagnostic efficiency, reduce clinical errors, and prevent staff burnout in areas such as patient triage and care decisions for acute patients. Use of the cloud will be essential as those stakeholders seek to perform an increasing number of more sophisticated analyses on a greater volume of available data. More specifically, cloud can help:
Endpoint protection. Protection of imaging applications. Remote access controls. Adversarial penetration testing to proactively discover potential vulnerabilities.
“Cloud,” it should be noted, is a very broad term that imaging vendors can use to refer to all kinds of architectures. It’s important for decision-makers to carefully consider the cloud-related capabilities made by any potential partners before engaging with them to facilitate moving imaging to the cloud. In particular, it is useful to distinguish between systems that are cloud enabled and those that are truly cloud native.
Hybrid model
Hybrid: Application functions are split between cloud and on-premises infrastructure. Multi-cloud: Application functions are split between public and private clouds.
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Consider adopting a multifaceted approach to the provisioning of imaging functions for two reasons. First, it can be impractical to “lift and shift” your entire imaging portfolio in one fell swoop. Incremental migration can make more sense financially — and can be far less risky. Second, not every imaging function is best run in the cloud. The best place to situate any function is instead determined by factors such as cost, scale, and performance. With a hybrid cloud or multi-cloud model, you can begin to migrate your existing on-premise platforms, leverage cloud technology, and achieve some of the associated benefits.
Multi-cloud model
Public
Private
Leaders at healthcare organisations will each approach cloud deployment for enterprise imaging in a slightly different way depending on the unique context of the organisation’s needs, readiness for migration, and availability of capital and resources. Designing a staged, incremental road map from your current imaging portfolio to a target state enables you to optimally fulfil your organisation’s specific operational and economic objectives. In fact, those objectives may lead you to target a goal that is not cloud only—but instead entails a hybrid combination of on-premises and cloud, so that you situate each component of your end-to-end imaging workflows where it makes the most functional and financial sense.
Medical imaging applications are most likely suited for provisioning under a hybrid model, which is the expected long-term model for cloud adoption:
When it comes to cloud migration, healthcare providers may find the experience of the financial services sector instructive. After all, financial services firms have numerous attributes in common with healthcare providers, including stewardship of highly sensitive data, the imperative of institutional integrity, intensive interaction with peer organisations, and significant government regulation. Yet despite similar confidentiality challenges and rigorous regulation, cloud adoption in the financial services sector has proliferated greatly in the last decade. And the benefits to financial services firms have been significant, as cloud has helped them deliver a broader range of high-value offerings to their clientele while keeping headcount and operational costs under control. All this has been accomplished through disciplined migration that started with private cloud before moving to public cloud—and that continues to embrace the practicalities of hybrid, purpose-driven provisioning.
Medical imaging applications most likely suited for provisioning under a multi-cloud model, which is the expected long-term model for cloud adoption.
I'm not actively working on an enterprise imaging RFP but would be interested in Change Healthcare's help with a future road map
Yes, I'd like to learn more about Change Healthcare's enterprise imaging solutions for an upcoming enterprise imaging RFP
Download Signify Research’s white paper on enterprise imaging/cloud migration. Keep learning about enterprise imaging in the cloud by viewing the fourth e-book in this series. Reach out to one of our expert enterprise imaging consultants:
Enterprise imaging can significantly benefit your clinical and administrative staff, your associated clinicians, your IT team, and most of all your patients. Take the next step in planning a successful journey by building your multidisciplinary enterprise imaging road map planning team. Here are the next steps you can take to learn more:
Download eBook PDF
Download Signify Research’s white paper on enterprise imaging/cloud migration. Reach out to one of our expert enterprise imaging consultants:
