University of Wisconsin–Madison Medical College of Wisconsin

Use of Flags in the Electronic Medical Record: A Retrospective Analysis

Natalie Yass, BS; Rebekah Walker, PhD; Sneha Nagavally, MS; Cynthia Kay, MD, MS

WMJ. 2025;124(1):42-46.

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ABSTRACT

Introduction: Implicit bias in patient care and outcomes is well documented. However, the presence of bias in hospital security interactions is a relatively new area of research. Flags placed on the electronic medical record identify patients considered high risk for negative outcomes, including those with security interactions.

Objective: We sought to explore the types of flags and their frequency, differences among patients with flags, and their pattern over time.

Methods: We conducted a retrospective chart review of flags placed on electronic medical records over 13 years of adults 18 years or older who were patients at a Midwest, tertiary, academic medical center. Descriptive statistics were used to explore patient demographic data. Chi-square tests were executed to compare patients with different flag types.

Results: Three flag types were investigated: “communication alert,” “vulnerable/unsafe, behavior” and “risk management.” The communication alert flag was most common, although Black male patients were more likely to receive a vulnerable/unsafe behavior flag than a communication alert flag (P = 0.001). Patients who were prescribed anti-anxiety medications, antidepressants, antipsychotics, and psychotherapeutics also were more likely to receive a vulnerable/unsafe behavior flag than a communication alert flag (P = 0.001). The highest number of flags was placed during quarter 3 – the months of July, August, and September.

Conclusions: Records of patients with certain demographics and on certain medications were more likely to be labeled with vulnerable/unsafe behavior flags. There is no clear protocol to determine what behaviors elicit which flag. Standardized procedures could help provide transparency to this issue.


Author Affiliations: Medical College of Wisconsin, Milwaukee, Wisconsin (Yass, Walker, Nagavally, Kay); Clement J. Zablocki VA Medical Center, Milwaukee, Wisconsin (Kay).
Corresponding Author: Natalie Yass, BS, 8701 W Watertown Plank Rd, Milwaukee, WI 53226; email natalieyass000@gmail.com; ORCID ID 0009-0009-7432-647X
Funding/Support: None declared.
Financial Disclosures: None declared.
Acknowledgments: All opinions expressed in this manuscript represent those of the authors and do not reflect those of the Department of Veteran Health Affairs or the United States Government.
Data Availability: Datasets used in this study were pulled from the medical record and cannot be shared with individuals outside the approved Institutional Review Board protocol.
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