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Data and Information

HIMSS22
By HIMSS TV | 07:00 am | May 12, 2022
GE Healthcare can use human judgment and AI to uncover "unknown unknowns," according to SVP and GM of Edison AI & Platform Vignesh Shetty.
By Emily Olsen | 12:40 pm | May 11, 2022
The researchers found 20 of the 23 apps reviewed shared data with third parties. Only 16 displayed a privacy policy, and three collected data before consent.
SPONSORED
By Elsevier | HIMSS TV | 05:04 pm | May 09, 2022
Elsevier's commercial portfolio and partnerships director Tim Morris explains how the company has worked with the WHO to ensure evidence-based information gets to providers and patients for improved outcomes.
HIMSS22
By HIMSS TV | 07:00 am | May 09, 2022
We talk with the CISO about patient safety, cybersecurity and the ways health systems can build cyber defenses amid risk from the Russia-Ukraine crisis.
HIMSS22
By HIMSS TV | 07:00 am | May 06, 2022
Healthcare organizations could have suffered cyberattacks unknowingly, which is why they need to be proactive about protecting themselves and their patients, says Lee Kim, director of privacy and security at HIMSS.
By Adam Ang | 11:43 pm | May 05, 2022
Their first project will involve the use of AI contouring to cut time for planning radiation therapies.
SPONSORED
By Philips | HIMSS TV | 03:00 pm | May 05, 2022
AI-enabled tools and data-driven practices can be integrated in care delivery to help future-proof health systems and improve care delivery, according to Dr. Samir Said with Philips Middle East, Turkey and Africa.
By Tammy Lovell | 02:42 am | May 05, 2022
The firm plans to expand its chronic disease treatments across more therapeutic areas.
SPONSORED
By InterSystems | HIMSS TV | 03:18 pm | May 03, 2022
Analytics tools can help extract and share data from HIEs to help clinicians make decisions that improve patient outcomes, according to Dr. Rami Riman, director of clinical and business improvements in EMEA for InterSystems.
By Nathan Eddy | 01:13 pm | May 03, 2022
Researchers noted they were unable to discover a single unified framework for tackling LoS prediction, which made it difficult to compare approaches.