Improving prediction of fall risk among nursing home residents using electronic medical records.

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Predicting Falls in People Aged 65 Years and Older from Insurance Claims.Metrics for Electronic-Nursing-Record-Based Narratives: cross-sectional analysis.

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Improving prediction of fall risk among nursing home residents using electronic medical records.

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2015 nî lūn-bûn

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Improving prediction of fall r ...... ng electronic medical records.

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Improving prediction of fall r ...... ng electronic medical records.

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Allison Marier

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Lauren E W Olsho

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William D Spector

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William Rhodes

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P2860

A multivariate fall risk assessment model for VHA nursing homes using the minimum data set.

Insomnia and hypnotic use, recorded in the minimum data set, as predictors of falls and hip fractures in Michigan nursing homes.

Antihypertensive medications and serious fall injuries in a nationally representative sample of older adults.

Fall risk index for elderly patients based on number of chronic disabilities.

Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies

Diabetes mellitus is associated with an increased risk of falls in elderly residents of a long-term care facility.

Falls and their prevention in elderly people: what does the evidence show?

Risk factors associated with the occurrence of fractures in U.S. nursing homes: resident and facility characteristics and prescription medications.

The costs of fatal and non-fatal falls among older adults.

Use of electronic information systems in nursing homes: United States, 2004

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276-282

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scholarly article

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10.1093/JAMIA/OCV061

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2015-06-22T00:00:00Z

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Improving prediction of fall risk among nursing home residents using electronic medical records.

about

P2860

P2860

Improving prediction of fall risk among nursing home residents using electronic medical records.

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