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Take these steps to reduce unproductive charting for nurses, says KLAS

Nurses and others providing inpatient care are struggling the most with documentation burden, but a new Arch Collaborative report offers some advice on helping reduce nurse burnout and turnover. ....

United States , American Nurses Foundation Mental Health , American Nurses Foundation , Mental Health , March Collaborative , Empowering Nurses , Patient Care ,

Fix daily irritants to reduce clinician burnout, KLAS says

Arch Collaborative researchers say organizations can keep post-pandemic burnout from worsening, if they intervene early on and don't dismiss clinical staffs' "small concerns." ....

New York , United States , University Of New York Upstate Medical , Addressing Trends , Nurse Burnout , State University , Upstate Medical University , March Collaborative ,

56 hospital and health system CMIOs and CNIOs to know

The physicians and nurses servings as chief medical officers and chief nursing officers are tasked with identifying new technologies, strategizing how best to integrate them into their organizations, and implementing them appropriately. ....

New York , United States , Stanford University , Fort Myers , Los Angeles , Saint Thomas , Baylor College Of Medicine , Ventura County , Kansas City , University Of Rochester , Des Moines , Stony Brook , Yale School , Cleveland Clinic , San Antonio , Los Angeles County , University Of Miami , Joseph Stein , Rosemary Ventura , Maritzam Suarez , Mandy Grubb Halford , Sherri Hess , Steve Magid , Sophia Saleem , Amy Rosa , Eric Cheng ,

KLAS: Epic Signal Data Not A Predictor of EHR Dissatisfaction, Burnout, or Turnover

Signal (Epic’s provider-efficiency tracking tool) is a familiar sight at many organizations using the Epic platform—these organizations… ....

Should Know , March Collaborative , Conversation Starter , Small Statistical Correlation ,

KLAS report highlights limitations of Epic's Signal data

Learn how Epic Systems Signal data can be used to gain insights into EHR user engagement, but cannot be used to predict EHR satisfaction, clinician burnout. ....

United States , Lee Health , Epic Systems , March Collaborative , Signal Data , Penn Medicine , Epic Systems ,