How Electronic Medical Record Integration Can Support More Efficient Critical Care Clinical Trials.
Crit Care Clin
; 39(4): 733-749, 2023 Oct.
Article
em En
| MEDLINE
| ID: mdl-37704337
ABSTRACT
Large volumes of data are collected on critically ill patients, and using data science to extract information from the electronic medical record (EMR) and to inform the design of clinical trials represents a new opportunity in critical care research. Using improved methods of phenotyping critical illnesses, subject identification and enrollment, and targeted treatment group assignment alongside newer trial designs such as adaptive platform trials can increase efficiency while lowering costs. Some tools such as the EMR to automate data collection are already in use. Refinement of data science approaches in critical illness research will allow for better clinical trials and, ultimately, improved patient outcomes.
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Base de dados:
MEDLINE
Assunto principal:
Cuidados Críticos
/
Registros Eletrônicos de Saúde
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article