BEYOND IMAGINGKEY COMPONENTS FOR A HOLISTIC ENTERPRISE IMAGING STRATEGY

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OUR EXPERTS

Ashish SantGeneral Manager and Vice President, Radiology Solutions, McKesson

Ohad AraziGeneral Manager and Vice President, Cardiology Solutions, McKesson

Don DennisonDirector-At-Large, Board of Directors, SIIM

Rasu Shrestha, MD, MBAChief Innovation Officer, University of Pittsburgh Medical Center

Glenn FieldsProgram Manager: Radiology and Infrastructure, Tidelands Health

Eliot Siegel, MDVice Chair of Research Informatics, University of Maryland School of Medicine, Department of Diagnostic Radiology

Jacob Hen, MDPediatric Pulmonologist, Bridgeport Hospital

Dan TrottSenior Healthcare Strategist/Business Development Manager, Dell EMC

Neil SinghEnterprise Medical Imaging Management Deployment SME, Right Sourcing

Daniel Kraft, MDFaculty Chair, Medicine & NeuroscienceSingularity University

Jay W. Patti, MDChief of Radiology & Chief Informatics Officer, Mecklenburg Radiology Associates

Erkan AkyuzPresident, Imaging and Workflow Solutions, McKesson

Tomer LevyGeneral Manager and Vice President, Workflow and Infrastructure, McKesson

Kinson HoSolution Architect, McKesson

Daniel Chernoff, MDRadiologist, Albany Medical Center

Mark Sanz, MDInterventional Cardiologist, Providence Health System

Warren EdwardsGeneral Manager, McKesson

David ChouChief Information and Digital Officer, Mercy Hospital

Russell BranzellPresident & CEO, College of Healthcare Information Management Executives

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THE HEALTH CARE REVOLUTION STARTS WITH IMAGING.

The health care industry is in the middle of a philosophical and technological revolution. The shift from volume- to value-based care is a massive organizational change that affects every aspect of patient care. At the same time, new technologies for collecting, storing, sharing and interpreting patient data hold potential for improved communication and collaboration throughout health systems.

Imaging departments are positioned at the nexus of changing philosophy and evolving technology. Innovations in medical imaging and data storage will fuel the changes in workflow and collaboration that can lead to better patient outcomes. The extent to which imaging departments are able to intelligently manage and share data will play a crucial role in the success of value-based initiatives.

There are four key components that health systems must evolve and improve to create a holistic enterprise imaging strategy: data, interoperability, workflow, and collaboration. In the following pages, you will find expert advice on all four, from both imaging clinicians and health IT professionals.

The challenges facing imaging clinicians during this sea change are real, and they are not small. However, the opportunities are just as real, and the potential for better outcomes for health systems, physicians and patients is undeniable.

Read on to learn how imaging departments can help lead the way to a more connected, more collaborative, and more patient-focused health industry.

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USE DATA TO IMPROVE PATIENT OUTCOMES & OPERATIONAL EFFICIENCIES

It’s a given that adding more relevant context to a patient’s scan can help improve the quality of diagnosis. The challenge lies in sifting through data to bring to the surface the most relevant pieces of the patient’s medical history, and in making sure that data is quickly and easily accessible.

Imaging departments will increasingly rely on intelligent software to filter data, as the amount of data associated with each patient continues to grow.

In the following pages, our experts ponder how to more effectively use data to its full potential.

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PURSUE INTELLIGENCE AUGMENTATION TO IMPROVE WORKFLOW & GUIDE CARE

Imaging departments in the near future will soon regularly leverage machine learning and Artificial Intelligence (A.I.) to analyze images ranging from echos to XRays and MRIs. By leveraging massive sets of retrospective and crowd sourced data from prior images and studies (correlated with diagnosis and outcome), next generation systems will screen for and help identify pathology. Their findings can then be further reviewed by radiologists.

Beyond ‘A.I.’ radiology, I see this more as I.A. or ‘Intelligence Augmentation’, which will improve workflow, speed accurate diagnosis and help rapidly guide more personalized therapies, while continually improving as a learning system.

Daniel Kraft, MDFaculty Chair, Medicine & Neuroscience, Singularity University

“Intelligence augmentation will improve radiology workflow, speed diagnosis and guide personalized therapies.”

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STREAMLINE WORKFLOW TO IMPROVE PATIENT OUTCOMES

As reimbursements change and value-based initiatives take root, imaging departments need to stay lean. Half of the equation is being able to automate recurring tasks and reminders. Automation can help reduce the workload and ensure that crucial follow-up takes place.

The other half is organizational. Imaging departments and those that use clinical imaging information must agree on operating standards, display protocols and efficient workflows. Technology, organization and flexibility are all crucial components in creating more effective and efficient workflows.

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IMPROVING WORKFLOW EFFICIENCY STARTS WITH TRACKING

Imaging departments are best positioned to “streamline” workflow when they are able to more objectively and quantitatively track their workflow. This can be done by emulating industrial “assembly lines” in which there is an ability to track the entire process.

Tracking the entire radiology workflow requires either a manual or automated system that can record, in real-time, patient, clerical, and technologist workflow steps. Some of these are captured already by the EMR, RIS, PACS and radiology reporting systems, but many are not. The SIIM Workflow Initiative in Medicine (SWIM) provides a common definition of the workflow steps within medical imaging departments, including key performance indicators.

Eliot Siegel, MDVice Chair of Research Informatics, University of Maryland School of Medicine, Department of Diagnostic Radiology

“Imaging departments are best positioned to streamline workflow when they can objectively and quantitatively track it.”

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The new model of enterprise imaging brings the entire health system together to facilitate more accurate diagnoses and help improve patient outcomes. To realize a truly integrated imaging strategy, health systems must manage data, ensure interoperability, streamline workflows, and facilitate collaboration.

Schedule a demo today to see how McKesson can help you fulfill your enterprise imaging needs.

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