Let technology do the work: Improving prediction of massive transfusion with the aid of a smartphone application

Journal of Trauma and Acute Care Surgery

Volumn 75, Issue 4, 2013, Pages 669-675

  Mina, Michael Joseph ^a   Winkler, Anne M ^a   Dente, Christopher J ^a  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

LASSO; Massive transfusion; prediction; smartphone application; trauma

Indexed keywords

ADULT; ARTICLE; BLUNT TRAUMA; CLINICAL PROTOCOL; CONTROLLED STUDY; CRITICALLY ILL PATIENT; FEMALE; GUNSHOT INJURY; HEART RATE; HUMAN; INJURY; INJURY SCALE; MAJOR CLINICAL STUDY; MALE; MASSIVE TRANSFUSION PROTOCOL; MOBILE PHONE; PRIORITY JOURNAL; RESUSCITATION; SYSTOLIC BLOOD PRESSURE; TRANSFUSION;

ADULT; ALGORITHMS; BLOOD TRANSFUSION; CELLULAR PHONE; COMPUTERS, HANDHELD; DECISION MAKING, COMPUTER-ASSISTED; DECISION SUPPORT TECHNIQUES; EXSANGUINATION; FEMALE; HUMANS; MALE; REGISTRIES; REPRODUCIBILITY OF RESULTS;

EID: 84885347673     PISSN: 21630755     EISSN: 21630763     Source Type: Journal    
DOI: 10.1097/TA.0b013e3182a12ba6     Document Type: Article

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