Public acceptability of computer-controlled antibiotic management: An exploration of automated dosing and opportunities for implementation

Journal of Infection

Volumn 78, Issue 1, 2019, Pages 75-86

  Rawson, Timothy M ^a   Ming, Damien ^a   Gowers, Sally AN ^b   Freeman, David ME ^b   Herrero, Pau ^b   Georgiou, Pantelis ^b   Cass, Anthony E ^b   O'Hare, Danny ^b   Holmes, Alison H ^a  

^a The National Institute for Health Research Health Protection Research Unit in Blood Borne and Sexually Transmitted Infections at University College London in partnership with UK Health Security Agency   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Biosensors; Machine learning; Patient and public engagement

Indexed keywords

ANTIBIOTIC AGENT; ANTIINFECTIVE AGENT; OLIGONUCLEOTIDE;

ANTIBIOTIC RESISTANCE; ANTIBIOTIC THERAPY; ATTITUDE TO HEALTH; BLOOD ANALYSIS; CLINICAL DECISION MAKING; COMPUTER ASSISTED DRUG THERAPY; CONTROL SYSTEM; DRUG MONITORING; DRUG SAFETY; HEALTH BEHAVIOR; HUMAN; INFECTION; LETTER; LIKERT SCALE; MEDICATION ERROR; OPTIMAL DRUG DOSE; PHLEBOTOMY; PROGRAM ACCEPTABILITY; PUBLIC HEALTH; QUALITATIVE ANALYSIS; SOFTWARE; COMMUNICABLE DISEASE; DECISION MAKING;

ANTI-BACTERIAL AGENTS; COMMUNICABLE DISEASES; DECISION MAKING; HUMANS; OLIGONUCLEOTIDES;

EID: 85059072907     PISSN: 01634453     EISSN: 15322742     Source Type: Journal    
DOI: 10.1016/j.jinf.2018.08.005     Document Type: Letter

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