Exploring Older Adults' Strengths, Problems, and Wellbeing Using De-identified Electronic Health Record Data

Grace Gao, David S Pieczkiewicz, Madeleine Kerr, Ruth A Lindquist, Chih-Lin Chi, Sasank Maganti, Robin R Austin, MaryJo Kreitzer, Katherine Todd, Karen A Monsen

Research output: Contribution to journalArticle

Abstract

As new data sources including individuals' strengths emerge in electronic health records, such data provide whole-person oriented information to generate integrated knowledge for person-centered practice. The purpose of this study is to describe older adults' strengths and problems within a wellbeing context documented by the Omaha System. The Wellbeing Model is employed as a conceptual framework for wellbeing and is operationalized by the Omaha System Problem Classification Scheme. This study has a retrospective, descriptive design using de-identified EHR data of wellbeing assessments including problems, strengths, and signs/symptoms for a convenience sample of 440 assisted-living residents in a Midwest metropolitan area. Descriptive statistics and data visualization were used to summarize and display strength and signs/symptom attributes within wellbeing contexts. The study reveals cutting-edge knowledge regarding older adults' strengths and wellbeing, and creates a platform for further research use of a strength-based ontology in clinical practice and electronic system of documentation.

Original languageEnglish (US)
Pages (from-to)1263-1272
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2018
StatePublished - Jan 1 2018

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Electronic Health Records
Signs and Symptoms
Information Storage and Retrieval
Documentation
Research

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AU - Lindquist, Ruth A

AU - Chi, Chih-Lin

AU - Maganti, Sasank

AU - Austin, Robin R

AU - Kreitzer, MaryJo

AU - Todd, Katherine

AU - Monsen, Karen A

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