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Analytics

By Kat Jercich | 04:24 pm | June 18, 2020
Predictive analytics platform CLEW's ICU tool uses artificial intelligence to help identify patients with a greater likelihood of respiratory failure or hemodynamic instability.
By Bill Siwicki | 02:23 pm | June 18, 2020
In a HIMSS20 Digital session, one expert spells out what healthcare can derive from big data, and what stands in the way of that innovation.
By Dr Alexander Jarasch | 04:43 am | June 16, 2020
Learn about the knowledge graph that’s helping map relationships between patents, publications and genes in the battle against the novel coronavirus from Dr Alexander Jarasch at the Federal Republic’s main diabetes research facility, DZD, in Germany.
By Bill Siwicki | 01:53 pm | June 12, 2020
In this special report, we offer in-depth profiles of companies and technologies that can help providers target their population health management efforts and direct outreach for social determinants of health.
By Kat Jercich | 05:36 pm | June 11, 2020
The digital interventions have led to improvements in the numbers of preventable emergency department visits, said experts from the New York health system during a HIMSS20 Digital presentation.
By Bill Siwicki | 01:23 pm | June 09, 2020
All forms of data analysis have evolved at Nemours Children’s Health System, because it now is able to make correlations that it was not able to before.
By Jeff Lagasse | 06:39 pm | June 05, 2020
The goal was to improve outcomes, reduce the recidivism rate and send inmates back into the communities with coherent care plans.
By Sophie Porter | 03:19 am | June 04, 2020
From pilotitis and digital dinosaurs to fully-actioned digital strategies, the COVID-19 pandemic has altered the adoption of digital in the UK.
By Fred Bazzoli | 10:00 am | June 02, 2020
While some organizations are finding success as they map coronavirus spread, public health agencies are still often relying on manual processes to gather and submit data, which is often incomplete, says former U.S. Chief Technology Officer Aneesh Chopra.
By Mike Miliard | 04:09 pm | May 29, 2020
John Halamka describes how clinicians at Mayo are benefiting from machine learning-powered approaches to imaging, predictive analytics and other types of decision support – and using machine learning to mine historical data for new treatments.