One of the more promising healthcare AI advancements is the development of remote patient monitoring tools such as symptom checkers, symptom assessments and digital self-triage.These tools not only help redefine and enhance patient experiences,…
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As the public comment period for the Assistant Secretary for Technology Policy’s HTI-2 proposed rule ends, the EHR Association has published a letter raising concerns about the potential impact on IT developers, providers, and…
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“While there is some skepticism among nurses, I believe that when applied in the right settings, artificial intelligence is far from a threat,” says Hadassah Backman, CEO of Guardoc, a clinical data integrity company.In…
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The 81st episode of the CIO podcast hosted by Healthcare IT Today was recorded at the MEDITECH Live conference! We were joined by Nolan Hennessee, CIO and Vice President at St. Joseph's/Candler Health System…
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I had several friends attending the Becker’s Health IT + Digital Health + Revenue Cycle conference last week in Chicago. In sending me some impressions and notes, they all mentioned conversations around the topic…
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Bill Grana, JD, MBA is CEO of HCTec.
Tell me about yourself and the company.
I have been in tech for nearly 30 years as an entrepreneur and business operator, beginning in the…
What You Should Know:
– Kipu Health, a leading provider of technology solutions for behavioral health, is joining forces with Amazon Web Services (AWS) to develop and deploy a suite of innovative artificial intelligence (AI)…
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The following is a guest article by Alex Rybak, Senior Director of Product Management at Revenera
Pacemakers, insulin pumps, CT systems, wearables; these and many more medical devices are increasingly common parts of contemporary healthcare…
What You Should Know:
– Cedars-Sinai Cancer is taking a major step towards addressing health disparities by participating in the largest-ever national study focused on cancer risk factors in Asian Americans.
– The initiative, funded by…
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To address challenges in screening for chronic kidney disease (CKD), we devised a deep learning-based CKD screening model named UWF-CKDS. It utilizes ultra-wide-field (UWF) fundus images to predict the presence of CKD. We validated…
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