Feature | Analytics Software | June 01, 2016 | Melinda Taschetta-Millane

Trends and Technology at HIMSS 2016

The need for improved efficiency in healthcare and the new requirements of U.S. healthcare reform have rapidly made the Healthcare Information and Management Systems Society (HIMSS) annual meeting into one of the largest medical conferences in the world. The major themes this year included how to leverage technology to implement population health initiatives, analytics software, patient engagement, improving connectivity and data/image sharing between disparate IT systems and outside physicians, and how to improve workflow efficiency. 

Analytics software and population health were hot topics this year. With healthcare now migrating to electronic medical record platforms, this data can be mined for business uses such as better management of inventory, procedural room use, imaging utilization, staff performance, radiation dose management, monitoring factors for patient satisfaction and to help identify bottlenecks in patient discharge, door-to-balloon times, STAT radiology reads, and what contributes to poor or improved patient outcomes. This data has been available for years at many facilities, but it is the new level of analytics software integration that now makes data mining possible for all these things on one screen using one program. 

However, technology is now much more sophisticated than simply pulling data on what has already happened, and can now help predict what will happen. This is the premise of the new IT arena of population health management. If all the risk factors are known for poor clinical outcomes or that lead to re-admissions, they can be tracked using software for all patients to determine who should be allocated additional, scarce resources. This is especially true for high-cost, high-readmission conditions such as heart failure, COPD and diabetes, or high-volume emergency department (ED) patient presentations, such as chest pain. 

Some software vendors are taking this model to the next level of predictive analytics using health system-wide data or regional health data exchanges to mine thousands of data points to determine which patients in a county or region would be ideal candidates for pre-emptive care. This includes identifying who might be qualified for computed tomography (CT) lung cancer screenings, or who should receive calls from healthcare outreach programs to prevent everything from low-birth weight babies in low-income areas, to identifying heart failure patients before they ever present with acute symptoms in an ED.

Patient engagement has become a major topic of discussion as providers try to figure out how to leverage IT to meet this Stage 3 Meaningful Use requirement. Another Stage 3 requirement is the use of clinical decision support (CDS) software to help reduce the number of unnecessary or inappropriate exams. 

You can see some of these trends online by viewing Editor's Choice of Most Innovative New IT at HIMSS 2016. In this editorial video, ITN Editor Dave Fornell takes a tour of some of the most innovative new trends and health information technologies on the expo floor at HIMSS. Technologies include radiation dose management, wearables, patient engagement, admission kiosks, analytics software and imaging workflow aids.

Related Content

Videos | Artificial Intelligence | December 13, 2018
ITN Editor Dave Fornell and ITN Contributing Editor Greg Freiherr share their insights on the vendors showing AI prod
Lunit Announces New Prominent Radiology Advisory Board Members
News | Artificial Intelligence | December 11, 2018
Medical artificial intelligence (AI) software company Lunit announced three new members of its advisory board,...
FDA Clears iCAD's ProFound AI for Digital Breast Tomosynthesis
Technology | Mammography | December 07, 2018
iCAD Inc. announced clearance by the U.S. Food and Drug Administration (FDA) for their latest, deep-learning, cancer...
YITU Releases AI-Based Cancer Screening Solutions at RSNA 2018
News | Artificial Intelligence | December 06, 2018
Chinese artificial intelligence (AI) healthcare company YITU healthcare released two brand-new products, Intelligent...
Veterans Integrated Service Network 19 Implements System-Wide Radiation Dose Monitoring
News | Radiation Dose Management | December 04, 2018
Agfa HealthCare announced it has collaborated in delivering a system-wide DoseMonitor automated software implementation...
ScreenPoint Medical and Volpara Partner to Bring AI to Breast Imaging Clinics
News | Computer-Aided Detection Software | December 04, 2018
ScreenPoint Medical has signed a memorandum of understanding (MOU) with Volpara Health Technologies. Volpara will...
Infervision Introduces AI Capabilities for Chest CT Reading
Technology | Computer-Aided Detection Software | November 30, 2018
Big data and artificial intelligence (AI) company Infervision announced the launch of InferRead CT Chest, a new product...
University of Utah Health Radiologists Select Philips Illumeo for Adaptive Intelligence
News | Artificial Intelligence | November 30, 2018
At the 2018 Radiological Society of North America (RSNA) Annual Meeting, Philips announced radiologists at the...
NeuroLogica and MaxQ AI Announce Distribution Agreement
News | Stroke | November 30, 2018
Clinical diagnostics intelligence platform company MaxQ AI and Samsung NeuroLogica announced a distribution agreement...