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Updated: Sep 18, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Stephanie Chambers1, Renu Bhargavi Boyapati, Rachel Gagliasso
1Stephanie Chambers, Rachel Gagliasso, and Christopher Kohler are instructors in nursing, Renu Bhargavi Boyapati is a research fellow in the Division of Hospital Internal Medicine, Linda Griebenow is an assistant professor of nursing, Shant Ayanian is an assistant professor of medicine, and Sandeep Pagali is an associate professor of medicine, all at Mayo Clinic, Rochester, MN. The scientific publications staff at Mayo Clinic provided copyediting support. Contact author: Stephanie Chambers, chambers.stephanie@mayo.edu. The authors have disclosed no potential conflicts of interest, financial or otherwise.
Adding delirium screening to daily nursing documentation significantly improved adherence, increasing rates by over 50%. This quality improvement initiative enhanced nurse-clinician communication and patient safety without impacting other assessments.
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