RESEARCHComparing Strategies for Identifying Falls in Older Adult Emergency Department Visits Using EHR Data-Reference-Cited by-同舟云学术

RESEARCHComparing Strategies for Identifying Falls in Older Adult Emergency Department Visits Using EHR Data

Published:2020-09-20 Issue:12 Volume:68 Page:2965-2967
ISSN:0002-8614
Container-title:Journal of the American Geriatrics Society
language:en
Short-container-title:J Am Geriatr Soc

Author:

Patterson Brian W.¹²³^ORCID,Jacobsohn Gwen Costa¹^ORCID,Maru Apoorva P.¹,Venkatesh Arjun K.⁴,Smith Maureen A.²^ORCID,Shah Manish N.¹⁵⁶^ORCID,Mendonça Eneida A.⁷⁸

Affiliation:

1. BerbeeWalsh Department of Emergency Medicine University of Wisconsin—Madison School of Medicine and Public Health Madison Wisconsin

2. Health Innovation Program University of Wisconsin–Madison Madison Wisconsin

3. Department of Industrial and Systems Engineering, Department of Biostatistics and Medical Informatics University of Wisconsin Madison Wisconsin

4. Department of Emergency Medicine and Center for Outcomes Research and Evaluation Yale University School of Medicine New Haven Connecticut

5. Division of Geriatrics and Gerontology, Department of Medicine University of Wisconsin—Madison School of Medicine and Public Health Madison Wisconsin

6. Department of Population Health Sciences University of Wisconsin—Madison School of Medicine and Public Health Madison Wisconsin

7. Department of Pediatrics and Biostatistics Indiana University School of Medicine Indianapolis Indiana

8. Regenstrief Institute Indianapolis Indiana

Funder

Agency for Healthcare Research and Quality

National Institute on Aging

Publisher

Wiley

Subject

Geriatrics and Gerontology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jgs.16831

Reference12 articles.

1. Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department

2. Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

3. Toward a learning health‐care system – knowledge delivery at the point of care empowered by big data and NLP;Kaggal VC;Biomed Inform Insights,2016

4. Claims-based Identification Methods and the Cost of Fall-related Injuries Among US Older Adults

5. Development of an algorithm to identify fall-related injuries and costs in Medicare data

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