You are here
SIIM 2014 Dwyer Lecture: Transforming Healthcare and Biomedical Research with Informatics - Bit by Bit
Healthcare practitioners and biomedical researchers are swimming in “Big Data” – a buzzword used frequently today, however the term is not new. NASA researchers coined the term in 1967 to articulate the tremendous amount of data generated through space exploration and the use of supercomputers. What is meant by “Big Data” today and in the context of healthcare? The SIIM 2014 Annual Meeting Opening Session honored Katherine P. Andriole, Ph.D., FSIIM as the 2014 Dwyer Lecturer. Exploring new ways of analyzing clinical and biomedical data in real-time and the transformation of big data to knowledge was the focus of Transforming Healthcare and Biomedical Research with Informatics - Bit by Bit by looking at new approaches, tools, and techniques that may facilitate the use of Big Data in the future.
The Best Way to Approach a Sleeping Dog – Tackling Enterprise Imaging
Finding the best method to approach enterprise imaging can seem overwhelming and may vary from institution to institution. Healthcare imaging IT professionals will examine how workflow and clinical practices differ the subspecialties of Radiology, Cardiology, Mammography and Visible Light, as well as what’s needed to accommodate each deployment, Additionally, Dr. Paul Chang will examine taking a less specialty individualized approach; concentrating on how images are acquired (and the variations of it), the associated metadata to how images are acquired, and the workflow models that work in a reproducible and scalable way in the Imaging beyond Radiology and Cardiology Hot Topic Session.
Enterprise Imaging – Don’t Just Focus on the Technologies
Kimberley Garriott, Program Manager of Enterprise Imaging at Cleveland Clinic and Closing General Session panelist states, “An enterprise imaging strategy should address the technology […] however diligence must be applied to the design of clinical and operational workflows, the standardization of associated meta data and how that data along with the images will be presented within the EMR.” The Enterprise Imaging - Strategy and Fundamentals to Build Your Program Closing General Session will guide attendees in developing an enterprise imaging strategy and the fundamental considerations that must be addressed for a successful execution such as communication, workflow design, and EMR integration.
FHIR & DICOMweb – New Healthcare IT Standards
New and pending standards such as DICOMweb and FHIR promise to change the way information is discovered, accessed and exchanged in healthcare. Web Technologies: The New Healthcare IT Standard Hot Topic Session provides the insight needed to better navigate and use these standards. Principal HL7 FHIR architect, Dr. Ewout Kramer, will provide insight on this new web API for healthcare data exchange and its suitability for cloud and mobile applications.
SIIM Hackathon – Test Driving the New Healthcare IT Standards
It’s not too late to test drive the new standards in healthcare. Valuable hands-on practice using today’s tools for tomorrow’s implementation is the focus at the 1st SIIM Hackathon! Hacker will put their skills into practice, as Code Heroes guide them through the process.
Imaging Professionals and Clinical Informaticists Working Together
As imaging and clinical informatics are becoming more intertwined, building strong relationships with your clinical informaticists is more important than ever! A typical day in the life of a clinical Informaticist will be examined to assist in understanding what they look for when working with medical imaging during the Current Topics for Clinical Informaticists Hot Topic Session featuring prominent clinicians from across the country.
Harnessing Informatics for Quality Improvement
Supercharge your department’s quality improvement efforts by leveraging informatics! Improving quality and safety in imaging departments is more important than ever. By harnessing the vast amount of information within departments, quality and safety teams can better measure current states, thereby developing and implementing necessary improvement. Real-world and easily implementable quality improvement methods will tools will be demonstrated to help meet MOC PQI requirements and improve departments during two dynamic, audience response filled sessions during the Quality and Safety Informatics Learning Track.
Make Since of Big Data & Learn How to Analyze It!
Making Sense of Big Data in Medical Imaging can seem nearly impossible; even getting a consensus on defining it seems to vary depending on one’s perspective. Khan M. Siddiqui, MD, Johns Hopkins University, Eliot L. Siegel, MD, FSIIM, University of Maryland School of Medicine, VA Maryland Health Care System and big data vendors will not only analyze major challenges of discovering imaging information in the EMR, but discuss data mining techniques that are becoming increasingly important across the healthcare enterprise to lower costs and for quality improvement. Then, leaders from the archiving community will examine how to translate data analytics into routine practice during Learning Track 3: Practical Data Mining and Analytics.