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VIDEO: One on One with Hal Wolf, FHIMSS, HIMSS President and CEO

Information Technology | July 25, 2024

Industry trade shows and conferences seem to be making their comeback in 2024. And the Healthcare Information and Management Systems Society (HIMSS) Global Conference and Exhibition seems particularly poised to deliver the best of the best when it comes to digital transformation in both the delivery of healthcare, but also the delivery of a quality experience for those in this demanding, rapidly evolving industry. This month in our ongoing One on One series with industry leaders, we are talking with Hal Wolf, FHIMSS, president and CEO of HIMSS. He offered insights on the society’s new partnership with Informa Markets, key topics being covered at HIMSS24, AI’s impact on the industry, and his thoughts on healthcare sustainability.

Find more HIMSS24 conference coverage here

A New Partnership for Growth

Last August, Informa Markets and HIMSS announced a landmark partnership to propel the growth and evolution of the HIMSS Global Health Conference and Exhibition, recognized as the most influential healthcare technology event of the year, and in North America. It draws 40,000 health professionals, tech leaders, providers and governmental organizations from across the globe. Informa Markets, the world’s largest exhibition organizer, took on management of the HIMSS Exhibition, while HIMSS continues to oversee developing expert content and programming.

Exciting New Features at HIMSS24

At HIMSS2024, with this new collaboration comes new features, including:

Related content:

Find more HIMSS24 conference coverage here

HIMSS Launches Modernized Infrastructure Adoption Model to Support Global Digital Health Transformation

Top Public Policy Experts at HIMSS24 to Address Global AI Landscape and Digital Transformation in Healthcare

VIDEO: Using Maturity Models to Measure Digital Health

VIDEO: Moving Digital Transformation Forward in Healthcare

VIDEO: Key Components to Creating and Implementing AI and Digital Transformation Solutions

VIDEO: The Benefits and Pitfalls of Artificial Intelligence in Healthcare

VIDEO: A Look at Cybersecurity and How Healthcare is at Risk

Information Technology

Artificial Intelligence | May 24, 2018

ITN Contributing Editor Greg Freiherr interviews Eliot Siegel, M.D., radiology professor at the University of Maryland School of Medicine and chief of Imaging Services at the VA Maryland Health Care System.

It’s ridiculous to think that in the coming two decades, artificial intelligence will replace radiologists, says AI expert Eliot Siegel, M.D. Even if AI got good at reading medical images, “radiologists do much more than that,” he says.

In the accompanying video interview, Siegel, a radiology professor at the University of Maryland School of Medicine and chief of Imaging Services at the VA Maryland Health Care System, will highlight these and other reasons why it’s ridiculous to think computers will replace radiologists. He’ll discuss them during a SIIM debate on the subject June 2 that will include Bradley J. Erickson, M.D., associate research chair in the radiology department at Mayo Clinic in Rochester. 

AI might not replace radiologists, but it could radically change the practice of radiology in just a few years, he says. During a SIIM session June 1, Siegel will moderate discussions among executives from several companies, including GE Healthcare and newcomer Aidoc, who will look at radiology AI applications and roadmap how these and future applications will incorporate AI. 

One thing is for sure, says Siegel: AI is going to dramatically increase radiologists’ use of lab data, genomics and digital pathology. Several of these data types may become integral parts of reading oncologic images, according to Siegel, who will provide details at SIIM May 31 in “Point-of-Care Precision Medicine: Real-time Radiomics-Genomics in the Reading Room.”

Editor’s note: This pre-SIIM video interview is the first in a series of three by Greg Freiherr. The series features industry luminaries discussing key issues associated with the upcoming SIIM conference. The first interview, Building An Effective Enterprise Imaging Strategy featuring Kim Garriott, can be viewed here.

Related Video: ITN Editorial Director Melinda Taschetta-Millane discusses "Machine Learning and the Future of Radiology" with Eliot Siegel at SIIM 2017.

Enterprise Imaging | May 22, 2018

ITN Contributing Editor Greg Freiherr interviews Kim Garriott, Principal Consultant, Logicalis

The rapidly expanding volume of unstructured data, exemplified by medical images, underscores the need to develop an enterprise imaging strategy, says Kim Garriott, principal consultant at Logicalis, a global provider of IT solutions and managed services.

In the accompanying video interview, Garriott explains how the combination of these two may form a convincing argument for the leadership of your organization to move forward with enterprise imaging.

On June 1, at the upcoming SIIM 2018 convention, she will co-host the continuing education session “Achieving Enterprise Imaging Maturity,” during which she and the HIMSS-SIIM Workgroup will present the new Digital Imaging Adoption Maturity Model. DIAM, as it is called, is designed to support real-time collaboration and patient-centric care by providing a method to address enterprise-wide imaging challenges. 

When developing an enterprise imaging strategy, organizations must consider their specific needs, which are characterized in “use cases.” Garriott, who is the global chair of the HIMSS analytic DIAM Development team and co-chair of the HIMSS-SIIM Enterprise Imaging Workgroup, explains that these use cases constitute one very important element of the enterprise imaging strategy. Another is construction of a “data governance model.” This model is needed to guide the capture of data and is essential to the success of enterprise imaging.

Editor’s Note: This pre-SIIM video interview is the first in a series of three by ITN Contributing Editor, Greg Freiherr. The series features industry luminaries discussing key issues associated with the upcoming SIIM conference.

Related Video: ITN Associate Editor Jeff Zagoudis discusses, "Enterprise Imaging and the Digital Imaging Adoption Model" with Kim Garriott at HIMSS 2018.

Enterprise Imaging | April 25, 2018

Organizations who are embarking on an enterprise imaging journey share many of the same questions and concerns regarding how to best optimize workflow across providers, departments and facilities; which technologies will provide the best fit for achieving the future vision; and how to maximize value and accelerate return on investment by driving adoption and improving satisfaction among providers and healthcare consumers (patients).

We, Paragon Consulting Partners LLC (PCP Imaging), are a team of passionate healthcare professionals that bring over 100 years of collective clinical, technical and business leadership experience within the healthcare IT and imaging informatics industries. In this video we address the key challenges and considerations faced by organizations undertaking an Enterprise Imaging journey, and how a trusted partner can contribute valuable expertise and guidance that enable healthcare organizations and vendors of any size to successfully tackle even their most challenging enterprise imaging initiatives. For more information, visit pcpimaging.com.

Enterprise Imaging | March 22, 2018

Kim Garriott, principal consultant, healthcare solutions, at Logicalis Healthcare Solutions, describes the remaining obstacles to enterprise imaging adoption and explains how the new DIAM for Enterprise Imaging, launched at HIMSS18, can provide a roadmap for future technology adoption.

 

Related Enterprise Imaging Content:

RSNA Technology Report 2017: Enterprise Imaging

VIDEO: Technology Report: Enterprise Imaging 2017

VIDEO: Building An Effective Enterprise Imaging Strategy

Five Steps for Better Diagnostic Image Management

Enterprise Imaging to Account for 27 Percent of Imaging Market

VIDEO: Defining Enterprise Imaging — The HIMSS-SIIM Enterprise Imaging Workgroup

VIDEO: How to Build An Enterprise Imaging System

Clinical Decision Support | March 22, 2018

Jonathan Teich, M.D., chief medical information officer for InterSystems, discusses the growth of clinical decision support in the United States, what he believes will drive further growth and the ways it may be used in the future

Flat Panel Displays | February 21, 2018

This 5 megapixel, high-brightness color monitor has the high-definition display necessary for breast imaging. It combines ease-of-use, such as a narrow bezel design to help your eyes swiftly move from one monitor to another, with new functions to help you focus on your work and maintain high performance.

Read more about the display and its FDA clearance in the article "Eizo RadiForce RX560 Monitor Receives FDA 510(k) for Tomosynthesis and Digital Mammography."

January 24, 2018

ITN Editor Dave Fornell previews the launch of augmented reality (AR) technology in the January/February 2018 issue of ITN. Augmented reality brings new depth to print content through your smartphone by connecting to related videos and other resources.

April 01, 2018

ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence advances at the Radiological Society of North America (RSNA) 2017 annual meeting.  AI was by far the hottest topic in sessions and on the expo floor at RSNA 2017. Here are links to related deep learning, machine learning coverage:

Why AI By Any Name Is Sweet For Radiology

Value in Radiology Takes on Added Depth at RSNA 2017

VIDEO: Key Imaging Technology Trends at RSNA 2017

VIDEO: Deep Learning is Key Technology Trend at RSNA 2017

VIDEO: Machine Learning and the Future of Radiology

VIDEO: Expanding Role for Artificial Intelligence in Medical Imaging

How Artificial Intelligence Will Change Medical Imaging
 

Enterprise Imaging | January 17, 2018

Mitchell Goldburgh, global solutions manager for enterprise imaging and analytics manager for NTT Data Services, formerly Dell Services, explains how the company helps unlock the true value of medical imaging data to enhance return on investment. 

For more information: www.nttdata.com

Enterprise Imaging | January 16, 2018

Built on an over 25-year pioneering legacy in the advanced visualization industry, Vital continues to expand on three product lines that make up its Vitrea Enterprise Imaging portfolio: Vitrea Vision, Vitrea Connection and Vitrea Intelligence. Vital’s comprehensive enterprise imaging portfolio enables facilities to build a consolidated and standardized enterprise imaging strategy to meet the demands of today’s healthcare environment without the typical barriers associated with consolidating and standardizing. To introduce you to the full line of solutions, we’ll follow a fictional patient through an episode of care to see how Vital Images’ technologies help caregivers to efficiently provide high-quality care.

For more information: www.vitalimages.com

Enterprise Imaging | January 09, 2018

Konica Minolta President of Healthcare IT Steve Deaton details new features in the Exa Platform designed to improve clinician efficiency from the beginning of patient care through completion. For more information, visit www.konicaminolta.com/medicalusa

Artificial Intelligence | December 21, 2017

ITN and DAIC Editor Dave Fornell shows several examples of how vendors are incorporating AI, deep learning algorithms into their medical imaging information system and the modalities themselves to speed workflow, improve imaging accuracy, improve reimbursements, monitor analytics in real time and eliminate the need for humans to do tedious, time consuming tasks. These examples were seen on the show floor at at the Radiological Society of North America (RSNA) 2017 meeting.  For more on deep learning, watch the VIDEO "Deep Learning is Key Technology Trend at RSNA 2017," and an interview with Adam Flanders, M.D., chair of the RSNA Radiology Informatics Committee, in the VIDEO "How Utilization of Artificial Intelligence Will Impact Radiology." ITN also created an indepth VIDEO Technology Report — Artificial Intelligence at RSNA 2017  with interviews with numerous AI vendors.

Watch the VIDEO “Editor’s Choice of the Most Innovative New Imaging Technology at RSNA 2017.”

 

Artificial Intelligence | December 19, 2017

A post-game roundup by ITN Contributing Editor Greg Freiherr and ITN Editor Dave Fornell on the key trend of artificial intelligence seen on the show floor at the Radiological Society of North America (RSNA) 2017 meeting.

For more on artificial intelligence at RSNA 2017, watch the VIDEO "How Utilization of Artificial Intelligence Will Impact Radiology." For more trends in imaging, watch the VIDEO "Key Imaging Technology Trends at RSNA 2017." ITN also created an indepth VIDEO Technology Report — Artificial Intelligence at RSNA 2017  with interviews with numerous AI vendors.

Cybersecurity | December 12, 2017

J. Anthony Seibert, Ph.D., professor and chair of informatics, University of California Davis, describes the security vulnerabilities specific to radiology departments and how they can be combated at the 2017 Radiological Society of North America (RSNA) meeting.

Read the articles “Building A Cybersecurity Team in Radiology,” and “Healthcare's Growing Cybersecurity Threats.”

Artificial Intelligence | December 07, 2017

Adam Flanders, M.D., co-director, neuroradiology and vice-chair of informatics at Jefferson University Hospitals, Philadelphia, and chair of the RSNA Radiology Informatics Committee, discusses the impact of AI at RSNA 2017. Read the article “How Artificial Intelligence Will Change Medical Imaging.” Watch the related VIDEO “Machine Learning and the Future of Radiology,” an interview with Eliot Siegel, M.D.

Medical 3-D Printing | November 17, 2017

Dee Dee Wang, M.D., Director, Structural Heart Imaging at Henry Ford Hospital, Detroit, explains how her center uses 3-D printing and computer aided design (CAD) software to improve patient outcomes. She spoke to ITN at the 2017 Transcatheter Cardiovascular Therapeutics (TCT) annual meeting. Read the articles “The Use of 3-D Printing in Cardiology” and “Henry Ford Hospital Study Shows 3-D Imaging Improves Fixing Broken Hearts.”  

Enterprise Imaging | September 05, 2017

Philips PerformanceBridge Practice dashboard, developed on the HealthSuite digital platform, offers at-a-glance insights into uptime, operations and performance across your imaging equipment. The dashboard also provides actionable recommendations, case studies and training alerts.

Information Technology | August 22, 2017

Melissa Martin, MS, president of the American Association of Physicists in Medicine (AAPM), discusses her vision of the role of medical physics in healthcare and highlights the association's initiatives at the 2017 AAPM annual meeting in Denver.

Analytics Software | July 28, 2017

Woojin Kim, M.D., chief medical information officer, Nuance Communications, explains how analytics solutions can help healthcare providers practice high-quality care and how to implement the technology at the 2017 Association for Medical Imaging Management (AHRA) annual meeting. Read the article "Analytics: The Next Big Health IT Undertaking," and the blog "Will Big Data Analytics Kickoff a New Golden Age for Radiology?"

Information Technology | July 07, 2017

SIIM Chair Paul Nagy, Ph.D., FSIIM, CIIP, associate professor of radiology and deputy director of the Technology Innovation Center at Johns Hopkins Medicine, discusses how informatics technology is changing medical imaging, and highlights SIIM's recent accomplishments and future endeavors.

Artificial Intelligence | July 06, 2017

Eliot Siegel, M.D., associate vice chair of diagnostic radiology and nuclear medicine, vice chair of information systems, University of Maryland, and chief of radiology, VA Maryland Healthcare System, discusses how machine learning (aka artificial intelligence or AI) is impacting radiology today and its role in the future.  

Read the article “How Artificial Intelligence Will Change Medical Imaging.” 

See examples of how AI can assess clinical images in the VIDEO “Examples of Artificial Intelligence in Medical Imaging Diagnostics.”

ITN also created an indepth VIDEO Technology Report — Artificial Intelligence at RSNA with interviews with numerous AI vendors.

 

Enterprise Imaging | July 03, 2017

Rasu Shrestha, M.D., MBA, chief innovation officer, University of Pittsburgh Medical Center (UPMC), executive vice president, UPMC Enterprises and SIIM board of directors, discusses how the Society for Imaging Informatics in Medicine (SIIM) is leading the transformation of healthcare into value-based medicine.

Clinical Decision Support | June 29, 2017

Rami Doukky, M.D., system chair, Division of Cardiology, professor of medicine, Cook County Health and Hospitals System, Chicago, discusses the new CMS requirements for clinical decision support (CDS) appropriate use criteria (AUC) documentation in cardiac imaging starting on Jan. 1, 2018. He spoke at the 2017 American Society of Nuclear Cardiology (ASNC) Today meeting. Read the article "CMS to Require Appropriate Use Criteria Documentation for Medical Imaging Orders."

Enterprise Imaging | June 21, 2017

Konica Minolta takes a top-down approach to looking at an entire facility and removing the departmental approach. Featured is the Exa Platform. It provides the infrastructure for managing data across the imaging workflow.

Information Technology | June 20, 2017

Alex Towbin, M.D., Neil D. Johnson Chair of Radiology Informatics at Cincinnati Children's Hospital, discusses the growing importance of translational and reproducible research in medical imaging informatics at SIIM 2017. 

Watch another VIDEO "Achieving Meaningful Patient Engagement" with Towbin at SIIM 2018.

Read the article "Essentials of Pediatric Imaging" with input from Towbin.

March 10, 2017

ITN Editor Dave Fornell takes a tour of some of the most innovative new technology that was displayed on the expo floor at the 2017 Healthcare Information and Management Systems Society (HIMSS) annual meeting. The two most significant technology advances are discussed in Fornell's blog "Two Technologies That Offer a Paradigm Shift in Medicine at HIMSS 2017." This includes examples of artificial intelligence in Medical Imaging, radiology. 

 

 

Enterprise Imaging | March 03, 2017

Enterprise imaging system expert Louis Lannum was in charge of Cleveland Clinic's efforts to connect images and other data from 33 of its departments into a single, centralized database that could deliver the content through a viewer in the electronic medical record. He spoke on the key requirements for enterprise imaging systems at HIMSS 2017. Read the article and watch related videos at "RSNA Technology Report 2016: Enterprise Imaging."

Artificial Intelligence | March 01, 2017

Machine learning is now being commercialized in medical imaging products designed to help improve workflow efficiency and augment the clinical user, not replace them. Steve Holloway with the U.K.-based healthcare market intelligence firm Signify Research discussed the expanding roles of artificial intelligence in radiology at the 2017 HIMSS healthcare IT conference. He also offers examples of artificial Intelligence in medical imaging. Read the article “How Artificial Intelligence Will Change Medical Imaging.”

 

PACS | January 08, 2017

A value based care mindset calls for a value based care toolset. Conserus Workflow Intelligence helps radiologists demonstrate their value to the rest of the enterprise. It’s a rules engine that helps you get information and tasks to the right people at the right time. With this automated solution in place, you can match demand to supply and use your available resources and talents most effectively.

This solution is flexible, configurable and vendor-neutral. It consolidates a radiologist’s entire set of everyday tasks into a dynamic worklist and uses up to 99 levels of priority to determine which ones should be read first. The user interface is color coded so users can easily see which studies are the most urgent. It’s also dynamic, so a study’s priority level automatically adjusts and it moves to the top of the list as it becomes more urgent. It can even be configured to send alerts if studies aren’t read within your defined time period. It helps you close communication loops between departments and facilities

Whether your healthcare system involves one facility with a single PACS, or is a complex, distributed environment, Conserus Workflow Intelligence can help you make impactful, measurable improvements in areas like turnaround times and case prioritization. And once you’ve measured your progress, you can easily reconfigure your rules so your workflows can get more efficient.

Conserus Workflow Intelligence helps you improve quality and efficiency, all within your regular PACS workflow. To learn more about how it can help you improve communication and turnaround times in your health system, watch this brief video. 

A value based care mindset calls for a value based care toolset. Conserus Workflow Intelligence helps radiologists demonstrate their value to the rest of the enterprise. It’s a rules engine that helps you get information and tasks to the right people at the right time. With this automated solution in place, you can match demand to supply and use your available resources and talents most effectively.

This solution is flexible, configurable and vendor-neutral. It consolidates a radiologist’s entire set of everyday tasks into a dynamic worklist and uses up to 99 levels of priority to determine which ones should be read first. The user interface is color coded so users can easily see which studies are the most urgent. It’s also dynamic, so a study’s priority level automatically adjusts and it moves to the top of the list as it becomes more urgent. It can even be configured to send alerts if studies aren’t read within your defined time period. It helps you close communication loops between departments and facilities

Whether your healthcare system involves one facility with a single PACS, or is a complex, distributed environment, Conserus Workflow Intelligence can help you make impactful, measurable improvements in areas like turnaround times and case prioritization. And once you’ve measured your progress, you can easily reconfigure your rules so your workflows can get more efficient.

Conserus Workflow Intelligence helps you improve quality and efficiency, all within your regular PACS workflow. To learn more about how it can help you improve communication and turnaround times in your health system, watch this brief video. 

Radiology Business | December 23, 2016

Kim Garriott, principal consultant for Logicalis Healthcare Solutions, explains the concept of value-based imaging and how it fits into healthcare reforms at RSNA 2016. Watch the related VIDEO "Value–based Imaging,” an interview with Daniel Berman, M.D., FACC, chief of Cardiac Imaging and Nuclear Cardiology, professor of imaging, Cedars-Sinai Medical Center. 
 

 

Quality Assurance (QA) | December 20, 2016

Learn more about myQA, IBA’s unique platform that connects QA applications, people, and know-how through a central database and the Cloud. It offers full support throughout all of your QA, and enables you access to the different software modules and all of your data from one intuitive interface – anywhere and anytime.

Artificial Intelligence | December 16, 2016

At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and major academic centers are developing a wide array of artificial intelligence neural networks to aid radiologists in clinical diagnosis and clinical decision support. In the future, AI may also be able to help train radiologists on both normal and abnormal presentations of various organs and body systems so as to more easily identify related disease states and conditions. The following video offers two examples of how the IBM Watson system examines imaging studies.

The first case seen here demonstrates how Watson can arrive at a differential diagnosis of an aortic dissection by analyzing an abdominal computed tomography (CT) scan. The second case involves the discovery of a fibroadenoma of the breast from Watson’s analysis of a mammogram.

Watson first analyzes the text of the radiology report, identifying and pulling out key words or phrases that may indicate the potential diagnosis. It then examines the CT scan to locate relevant visible anatomic structures such as the heart, aorta and pulmonary artery. Each structure is examined for anomalies, which identifies a possible aortic dissection; the dissection is displayed within the context of the entire 3-D CT scan. Finally, Watson applies its existing clinical knowledge to the findings from the CT scan and the radiology report, establishing pathways to numerous possible conclusions until arriving at the right one.

See examples of real products using AI at RSNA 2017 in the VIDEO "Examples of How Artificial Intelligence Will Improve Medical Imaging."  ITN also created an in-depth VIDEO: Technology Report — Artificial Intelligence at RSNA 2017,  with interviews with numerous AI vendors.

Watch the VIDEO: “Development of Artificial Intelligence to Aid Radiology,” an interview with Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explaining the basis of artificial intelligence in radiology.

Information Technology | November 11, 2016

Leveraging RESTful web services to unify communications between various health IT platforms the Unifier solves a wide range of interoperability challenges. Visit Dicom Systems’ RSNA Booth 1508 for a live demo.

September 19, 2016

See how Carestream's exclusive Web Portal and personalized dashboard can give users peace of mind.

Enterprise Imaging | August 16, 2016

Interview with Jef Williams, managing partner, Paragon Consulting Partners, on the essential elements of building an enterprise imaging strategy, at the 2016 Association for Medical Imaging Management (AHRA) annual meeting in Nashville, Tenn.  For more information on enterprise imaging technology, watch the video “Enterprise Imaging - RSNA 2015 Technology Report.”
 

Analytics Software | August 16, 2016

Interview with Kent Hutson, M.D., CPE, of Radiology Alliance in Nashville, Tenn., on the principles of data mining and how they can be used in radiology, at the 2016 Association for Medical Imaging Management (AHRA) annual meeting. For more information, read the article "Analytics: The Next Big Health IT Undertaking."
 

Enterprise Imaging | July 21, 2016

The performance, feature and scalability gap between today’s enterprise viewers cannot be understated. Nearly all viewers provide image access from the EHR, but can your viewer also provide diagnostic interpretation at massive scale, with sophisticated interoperability to replace your PACS? itnTV captured Visage 7 in action at SIIM 2016, and if you watch closely, you’ll see Visage 7 explain:  Fast. Powerful. Enterprise Imaging.

Information Technology | July 19, 2016

At SIIM 2016, itnTV caught up with opening keynote speaker and SIIM treasurer Rasu B. Shrestha, M.D., MBA, Chief Innovation Officer, University of Pittsburgh Medical Center and Executive Vice President, UPMC Enterprises, to discuss the dynamic changes that imaging is facing today.

Information Technology | July 19, 2016

New this year is the SIIM Innovation Challenge, which offered a prize of $10,000 to the winning team to help support innovation exploration and development to raise awareness and engagement in innovation efforts that will help shape the present and future of imaging informatics. Co-chairs Ram Chadalavada, M.D., MS, CIIP and Adam Kaye, M.D., MBA, CIIP, discussed some of the innovative ideas presented at this year’s challenge, and future plans, with itnTV.

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