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By Mike Miliard | 11:33 am | October 14, 2022
Miriam McNicholas, clinical policy administrator at Hackensack Meridian Health, describes how New Jersey's largest health system is using software to train newly added RNs of varying experience levels.
By Andrea Fox | 11:35 am | October 13, 2022
New Cloud for Healthcare capabilities can enhance patient engagement, help automate workflows and boost interoperability, the company says.
By HIMSS TV | 07:00 am | October 13, 2022
Fran Ayalasomayajula, president of global social impact organization Reach, says hospital-at-home approaches enable organizational efficiencies – but can also be a challenge for caregivers.
By HIMSS TV | 07:00 am | October 11, 2022
Dr. Nigel Spier, OBGYN and team lead for ModMed OBGYN, explains how adaptive technology can comprehend how physicians manage patients, based on their training and guidelines, and free them up to spend more time with high-touch patients.
By HIMSS TV | 07:00 am | October 07, 2022
The technology can complement EHRs, reduce errors and enhance time management, explains Dr. Subha Airan-Javia, a hospitalist at University of Pennsylvania Health System and founder of CareAlign.
By Bill Siwicki | 11:47 am | October 06, 2022
The prior authorization process is a pain – even the Surgeon General knows. Here, one physician IT leader highlights how electronic prior authorization can make life a lot easier for all involved.
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By Automation Anywhere | 07:00 am | October 04, 2022
Mastering automation to accelerate business transformation within healthcare organizations.
By Andrea Fox | 12:15 pm | October 03, 2022
Top leaders from the VA's digital transformation team discussed the PACT Act, zero trust security, low-code agility, the VA's new mobile app, technology application sourcing and more.
By Bill Siwicki | 11:09 am | September 30, 2022
This was all part of a broader effort to improve the patient experience: Staff want to ensure all communications are clear and understood.
By Andrea Fox | 11:04 am | September 30, 2022
Investigators used natural language processing and deep learning to explore the prevalence of patient information duplicated from prior notes in medical records.