Events

2023 HIMSS Global Health Conference & Exhibition

Event Registration

Date

April 17, 2023 07:00am - April 21, 2023 02:30pm US/Eastern

Location

United States

RTI International is excited to attend HIMSS Global Health Conference & Exhibition for another year! HIMSS attracts a broad array of professionals from across the healthcare ecosystem to discuss the latest trends and breakthroughs. The 40,000+ attendees range from senior executives to consultants and government officials.

This year's conference will focus on health that connects and tech that cares. RTI can be found at Booth #3257, stop by to learn about how we can add value to your organization.

Innovative Health Data Solutions

The PhenX Toolkit
This web-based catalog of recommended measurement protocols can be used to combine studies to increase statistical power and enable comparisons of studies to validate results. The tool also gives guidance for study design and implementation and can help researchers connect to other investigators who are using PhenX protocols.

RTI SynthPop
Eliminate PII by creating synthetic population datasets that are representative of real people. SynthPop allows researchers to understand risk factors for the spread of infectious diseases, determine connections between socioeconomic favors, and predict intervention success.

RTI Rarity
The RTI Rarity tool uses supervised machine learning, including random forests and other state-of-the-art predictive methods, to create local social inequity scores drawing on SDoH measures. The health equity analysis tool and its underlying data allow for the development of within-state and cross-state summary scores and ten domain-specific sub scores informed by our conceptual framework.

The HEAL Initiative
The Helping to End Addiction Long-term (HEAL) Initiative, is an ambitious, multiyear effort to learn about the societal impacts of the U.S. opioid crisis. RTI is helping to build the NIH HEAL Ecosystem that will modernize data infrastructure to ensure HEAL studies serve as a vital resource for researchers to accelerate scientific solutions to the national opioid crisis.

SMART
Smarter Manual Annotation for Resource-constrained collection of Training data (SMART) is an open source project on GitHub that utilizes breakthroughs in artificial intelligence to help data scientists efficiently build labeled training datasets for supervised machine learning tasks.

MetaMatchMaker
A scientist conducting a big data study typically spends 50%-65% of their time finding, gathering, harmonizing, and cleaning data. MetaMatchMaker (M3) is a suite of cutting-edge AI approaches and tools that saves time and reduces costs related to finding and integrating genomic, molecular, and clinical data.