Abstract
Understanding the multifactorial dimension of fall risk contributes to the search for better preventive interventions. The objective of this study was to identify the events types and the most frequent causes related to falls in adults and newborns. In the included period, 378 falls occurred. Understanding the predictive factors for the occurrence of falls has the potential to guarantee better safety for the patient.
Original language | English (US) |
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Title of host publication | MEDINFO 2019 |
Subtitle of host publication | Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics |
Editors | Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi |
Publisher | IOS Press |
Pages | 1741-1742 |
Number of pages | 2 |
Volume | 264 |
ISBN (Electronic) | 9781643680026 |
DOIs | |
State | Published - Aug 21 2019 |
Event | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: Aug 25 2019 → Aug 30 2019 |
Publication series
Name | Studies in health technology and informatics |
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ISSN (Print) | 0926-9630 |
Conference
Conference | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 |
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Country/Territory | France |
City | Lyon |
Period | 8/25/19 → 8/30/19 |
Bibliographical note
Publisher Copyright:© 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Keywords
- Accidental Falls
- Electronic Health Records
- Nursing Informatics
- Hospitals, General
- Humans
- Risk Factors
- Brazil
- Incidence
PubMed: MeSH publication types
- Journal Article