TDMx: A novel web-based open-access support tool for optimising antimicrobial dosing regimens in clinical routine

International Journal of Antimicrobial Agents

Volumn 45, Issue 4, 2015, Pages 442-444

  Wicha, Sebastian G ^a   Kees, Martin G ^a,b   Solms, Alexander ^c   Minichmayr, Iris K ^a   Kratzer, Alexander ^d   Kloft, Charlotte ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^c UNIVERSITY OF POTSDAM   (Germany)

^d UNIVERSITY HOSPITAL REGENSBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIINFECTIVE AGENT;

ALGORITHM; BAYESIAN LEARNING; BODY WEIGHT; CLINICAL PRACTICE; COMPUTER LANGUAGE; DRUG DOSE REGIMEN; HUMAN; INTERNET; KIDNEY FUNCTION; LETTER; MINIMUM INHIBITORY CONCENTRATION; ONLINE SYSTEM; PHARMACODYNAMICS; PHARMACOKINETICS; PRIORITY JOURNAL; PROBABILITY; STOCHASTIC MODEL; VALIDATION STUDY; BACTERIAL INFECTIONS; DECISION SUPPORT SYSTEM; STANDARDS;

ANTI-BACTERIAL AGENTS; BACTERIAL INFECTIONS; DECISION SUPPORT TECHNIQUES; DRUG THERAPY; HUMANS; INTERNET;

EID: 84925258497     PISSN: 09248579     EISSN: 18727913     Source Type: Journal    
DOI: 10.1016/j.ijantimicag.2014.12.010     Document Type: Letter

References (1)

1. J.A. Roberts, M.H. Abdul-Aziz, J. Lipman, J.W. Mouton, A.A. Vinks, and T.W. Felton Individualised antibiotic dosing for patients who are critically ill: challenges and potential solutions Lancet Infect Dis 14 2014 498 509