Healthcare IT Today
JUNE 29, 2024
Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives you a chance to catch up on anything you may have missed during the week. Hal Wolf on the International Reach of HIMSS – and Much More. John Lynn caught up with the HIMSS President and CEO at HIMSS Europe.
Kaiser Health News
JUNE 29, 2024
KFF Health News senior correspondent Aneri Pattani discussed the Supreme Court’s Purdue Pharma decision and the opioid settlement on WHYY’s “Studio 2” on June 27. Click here to hear Pattani on “Studio 2” Read Pattani’s series “ Payback: Tracking the Opioid Settlement Cash ” KFF Health News ethnic media editor Paula Andalo discussed California’s new heat rules on Radio Bilingüe’s “Línea Abierta” on June 22.
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HealthIT Answers
JUNE 29, 2024
Our monthly round up of nurses news, from the associations, providers, hospital systems, and nurses themselves. The post NursesNOW Roundup June 2024 appeared first on Health IT Answers.
HealthLaw Prof Blog
JUNE 29, 2024
Elena Caruso (University of Waterloo), The Hyper-Regulation of Abortion Care in Italy, 163 Int’l J. of Gynecology and Obstetrics (2023): This paper argues that the current abortion regulation by Law 194/1978 is an inadequate basis for the provision of good.
Speaker: Simran Kaur, Co-founder & CEO at Tattva.Health
AI is transforming clinical trials—accelerating drug discovery, optimizing patient recruitment, and improving data analysis. But its impact goes far beyond research. As AI-driven innovation reshapes the clinical trial process, it’s also influencing broader healthcare trends, from personalized medicine to patient outcomes. Join this new webinar featuring Simran Kaur for an insightful discussion on what all of this means for the future of healthcare!
HealthLaw Prof Blog
JUNE 29, 2024
Zilin Liang (Beihang University), Zheng Zheng (Beihang University), Weihai Chen (Beihang University), Zhongcai Pei(Beihang University), et al., A Novel Deep Transfer Learning Framework Integrating General and Domain-Specific Features for EEG-Based Brain-Computer Interface (2023): The statistical variability of electroencephalographic (EEG) signals.
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