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Chary, Anita Nandkumar

0000-0002-8839-7617

Mayo Clinic

Baylor College of Medicine

Citations 2

Electronic Health Record Tools for the Detection, Management, and Monitoring of Delirium in Emergency Departments: Examples from Five Healthcare Systems
Kennedy, Maura, Skains, Rachel M. , Bhananker, Annika , Peebles, Alex, Schneider, Katherine A., Liu, Shan W. , Skains, Rachel M , Chary, Anita Nandkumar , Southerland, Lauren T. , Friedman, Ari B. , Lee, Sangil , Schneider, Katherine, Bellolio, Fernanda

Delirium | August 8, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.56392/001c.142177 Get It

Background Delirium is a state of acute brain failure causing confusion, reduced focus, and changes in alertness. It is common in older patients, occurring in 6-38% of older emergency department (ED) patients. Evidence suggests that systematic screening improves detection rates and early detection, management and reporting are critical. However, examples of operationalizing this in clinical non-research care are scarce. Objective To describe and disseminate examples of best practices for delirium screening, management, and monitoring within the ED. Methods A group of emergency physicians interested in geriatric emergency medicine (GEM) and evidence-based medicine gathered monthly to discuss ways of implementing delirium care. Members were asked to submit any electronic health record (EHR)-based interventions for delirium in current use at their institutions. One group member categorized the EHR tools by their use for screening, prevention, management, and monitoring of delirium. As a group, categorizations were reviewed and agreed upon and similarities, differences and themes were identified. Results Current EHR interventions from 5 EDs were included. We found that: 1) Screening for delirium in EDs is challenging due to the nature of the environment and the variety of tools available. 2) Prevention tools included order sets. 3) Management was accomplished with best practice alerts and order sets to help screen, prevent, address underlying causes, and manage agitation. Delirium prevention order sets emphasize optimizing patient mobility, comfort, and communication. Assessment order sets include routine labs and consultations, while management order sets for agitation provide safe medication options considering older adults’ unique physiology. 4) Utilizing dashboards for compliance monitoring offers real-time feedback, and provides an overview of adherence to clinical guidelines, regulatory standards, and patient safety protocols. Conclusion These real-world examples can be used in EDs implementing delirium programs. Further studies on how EHR interventions impact screening, diagnosis, and treatment of delirium in the ED are needed.
A scoping review of geriatric emergency medicine research transparency in diversity, equity, and inclusion reporting
Suh, Michelle , Ordoñez, Edgardo , Cameron, Lauren , Ahmad, Surriya, Zirulnik, Alexander , Landry, Alden , Spencer, Vivian , Obi, Tracey, Weaver, Emily H., Carpenter, Christopher R , Chary, Anita Nandkumar , Hardi, Angela , Weaver, Emily H., Carpenter, Christopher R.

Journal of the American Geriatrics Society | July 12, 2024 | Volume: 72 | Issue: 11 | Pages: 3551-3566

10.1111/jgs.19052 Get It

Abstract Introduction The intersection of ageism and racism is underexplored in geriatric emergency medicine (GEM) research. Methods We performed a scoping review of research published between January 2016 and December 2021. We included original emergency department‐based research focused on falls, delirium/dementia, medication safety, and elder abuse. We excluded manuscripts that did not include (1) original research data pertaining to the four core topics, (2) older adults, (3) subjects from the United States, and (4) for which full text publication could not be obtained. The primary objective was to qualitatively describe reporting about older adults' social identities in GEM research. Secondary objectives were to describe (1) the extent of inclusion of minoritized older adults in GEM research, (2) GEM research about health equity, and (3) feasible approaches to improve the status quo of GEM research reporting. Results After duplicates were removed, 3277 citations remained and 883 full‐text articles were reviewed, of which 222 met inclusion criteria. Four findings emerged. First, race and ethnicity reporting was inconsistent. Second, research rarely provided a rationale for an age threshold used to define geriatric patients. Third, GEM research more commonly reported sex than gender. Fourth, research commonly excluded older adults with cognitive impairment and speakers of non‐English primary languages. Conclusion Meaningful assessment of GEM research inclusivity is limited by inconsistent reporting of sociodemographic characteristics, specifically race and ethnicity. Reporting of sociodemographic characteristics should be standardized across different study designs. Strategies are needed to include in GEM research older adults with cognitive impairment and non‐English primary languages.