Literature DB >> 15326991

Using information technology to assist in redesign of a fall prevention program.

Jennifer Allan Browne1, Barbara G Covington, Yvonne Davila.   

Abstract

This article presents the redesign of an adult inpatient falls program using a computerized information system. Named the ADAPT Fall Tool, the tool provides an accurate assessment of the fall risk of each patient. Indicators are embedded into routine assessment documentation, eliminating added charting time. The program allows tailored interventions for specific patient risks, and the fall risk information is integrated into the care plan, report sheets, and care conferences, producing an interdisciplinary communication network.

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Year:  2004        PMID: 15326991     DOI: 10.1097/00001786-200407000-00008

Source DB:  PubMed          Journal:  J Nurs Care Qual        ISSN: 1057-3631            Impact factor:   1.597


  4 in total

1.  Inpatient falls: defining the problem and identifying possible solutions. Part I: an evidence-based review.

Authors:  Ethan U Cumbler; Jennifer R Simpson; Laura D Rosenthal; David J Likosky
Journal:  Neurohospitalist       Date:  2013-07

2.  Why do patients in acute care hospitals fall? Can falls be prevented?

Authors:  Patricia C Dykes; Diane L Carroll; Ann C Hurley; Angela Benoit; Blackford Middleton
Journal:  J Nurs Adm       Date:  2009-06       Impact factor: 1.737

3.  An electronic medical record (EMR)-based intervention to reduce polypharmacy and falls in an ambulatory rural elderly population.

Authors:  Valerie Weber; Alan White; Robb McIlvried
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

Review 4.  Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis.

Authors:  Marta Aranda-Gallardo; Jose M Morales-Asencio; Jose C Canca-Sanchez; Silvia Barrero-Sojo; Claudia Perez-Jimenez; Angeles Morales-Fernandez; Margarita Enriquez de Luna-Rodriguez; Ana B Moya-Suarez; Ana M Mora-Banderas
Journal:  BMC Health Serv Res       Date:  2013-04-02       Impact factor: 2.655

  4 in total

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