The Future of Data-Driven Wound Care.
AORN J
; 107(4): 455-463, 2018 04.
Article
em En
| MEDLINE
| ID: mdl-29595902
ABSTRACT
Care for patients with chronic wounds can be complex, and the chances of poor outcomes are high if wound care is not optimized through evidence-based protocols. Tracking and managing every variable and comorbidity in patients with wounds is difficult despite the increasing use of wound-specific electronic medical records. Harnessing the power of big data analytics to help nurses and physicians provide optimized care based on the care provided to millions of patients can result in better outcomes. Numerous applications of machine learning toward workflow improvements, inpatient monitoring, outpatient communication, and hospital operations can improve overall efficiency and efficacy of care delivery in and out of the hospital, while reducing adverse events and complications. This article provides an overview of the application of big data analytics and machine learning in health care, highlights important recent advances, and discusses how these technologies may revolutionize advanced wound care.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Contexto em Saúde:
1_ASSA2030
Problema de saúde:
1_sistemas_informacao_saude
Assunto principal:
Cicatrização
/
Ferimentos e Lesões
/
Ciência de Dados
Limite:
Humans
Idioma:
En
Revista:
AORN J
Ano de publicação:
2018
Tipo de documento:
Article