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Critical care clinics · Oct 2023
ReviewHow Electronic Medical Record Integration Can Support More Efficient Critical Care Clinical Trials.
- Ankita Agarwal, Joseph Marion, Paul Nagy, Matthew Robinson, Allan Walkey, and Jonathan Sevransky.
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University School of Medicine, Emory Critical Care Center, Emory Healthcare, Atlanta, GA, USA.
- Crit Care Clin. 2023 Oct 1; 39 (4): 733749733-749.
AbstractLarge 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.Copyright © 2023 Elsevier Inc. All rights reserved.
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