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Kat Jercich

Kat Jercich

Kat Jercich is the Senior Editor at Healthcare IT News. Her writing has appeared in the New York Times, the Washington Post, The Advocate, and others. Previously, she was Vice President and Managing Editor at Rewire.News.

By Kat Jercich | 01:40 pm | April 12, 2021
The second phase of the company's Diagnostic Development Initiative will expand to include early disease detection, disease trajectory prognosis and public health genomics.  
By Kat Jercich | 10:04 am | April 12, 2021
An expert from Google Health UK weighs in on the potential benefits of machine learning in healthcare – and the challenges that remain to realizing those benefits.
By Kat Jercich | 02:16 pm | April 09, 2021
The Pittsburgh-based analytics firm will work with the federal government to provide public health officials with information through HHS Protect.
By Kat Jercich | 02:40 pm | April 08, 2021
Nearly half of respondents to a recent survey said they were not familiar with the term "information blocking," although 70% said they were aware of rules taking effect on April 5.
By Kat Jercich | 02:12 pm | April 07, 2021
Federal officials say Trillium Health spent hundreds of thousands of dollars in response to the incident.
By Kat Jercich | 01:06 pm | April 07, 2021
A new JAMIA article identifies three main factors: technostress, time pressure and workflow-related issues.
By Kat Jercich | 05:20 pm | April 06, 2021
The organizations said the collaboration will use AstraZeneca's AMAZE disease management platform to deliver insights to clinically validate digital health solutions.
By Kat Jercich | 01:46 pm | April 06, 2021
Irth allows Black and brown patients to search for and create reviews of their OB/GYN, birthing hospitals, postpartum care and pediatricians up to an infant's first year.
By Kat Jercich | 04:19 pm | April 05, 2021
But a new study found that telemedicine is still being used in surgical fields at higher rates than before the pandemic.  
By Kat Jercich | 01:02 pm | April 05, 2021
A new MIT study found label errors that could destabilize machine learning benchmarks.