Purpose of review: To explore recent developments in computerized evidence-based guidelines and decision support systems that have been designed to improve the effectiveness and efficiency of antibiotic prescribing. Recent findings: The most frequently utilized decision support systems are electronic guidelines and protocols, especially for empirical selection of antibiotics. The majority of decision support systems result in improvement in clinical performance and, in at least half of the published trials, in patient outcomes. Despite the reported successes of individual applications, the safety of electronic prescribing systems in routine practice has been identified recently as an issue of potential concern. Bioinformatics-assisted presc...
Background: Computerised decision-support systems (CDSSs) for antibiotic stewardship could help to a...
Objective A clinical decision support system (CDSS) for empirical antibiotic treatment has the poten...
There is wide variability in the use and adoption of recommendations generated by computerized clini...
Inappropriate antimicrobial use has been shown to be an important determinant of the emergence of an...
Background: To describe and evaluate a clinical decision support system (CDSS) for empirical antibio...
doi:10.1093/jac/dkl438 The potential role of computerized decision support systems to improve empiri...
This narrative review includes a summary of research examining prescribing errors, prescription deci...
Aim To review and appraise randomised controlled trials (RCT) and 'before and after' studies publish...
Effects of computer-aided clinical decision support systems in improving antibiotic prescribing by p...
Objectives: To evaluate a clinical decision support system (CDSS) based on consensus-based intraveno...
Objectives Clinical decision support systems (CDSS) for antimicrobial management can support clinici...
Computerised clinical decision support systems (CDSSs) are used widely to improve quality of care an...
Clinical decision support systems (CDSSs) are increasingly being used by clinicians to support antib...
OBJECTIVES: To investigate differences in antibiotic prescription for patients with hard-to-heal ulc...
A b s t r a c t Objective: The aim of this study was to compare the clinical impact of computerized ...
Background: Computerised decision-support systems (CDSSs) for antibiotic stewardship could help to a...
Objective A clinical decision support system (CDSS) for empirical antibiotic treatment has the poten...
There is wide variability in the use and adoption of recommendations generated by computerized clini...
Inappropriate antimicrobial use has been shown to be an important determinant of the emergence of an...
Background: To describe and evaluate a clinical decision support system (CDSS) for empirical antibio...
doi:10.1093/jac/dkl438 The potential role of computerized decision support systems to improve empiri...
This narrative review includes a summary of research examining prescribing errors, prescription deci...
Aim To review and appraise randomised controlled trials (RCT) and 'before and after' studies publish...
Effects of computer-aided clinical decision support systems in improving antibiotic prescribing by p...
Objectives: To evaluate a clinical decision support system (CDSS) based on consensus-based intraveno...
Objectives Clinical decision support systems (CDSS) for antimicrobial management can support clinici...
Computerised clinical decision support systems (CDSSs) are used widely to improve quality of care an...
Clinical decision support systems (CDSSs) are increasingly being used by clinicians to support antib...
OBJECTIVES: To investigate differences in antibiotic prescription for patients with hard-to-heal ulc...
A b s t r a c t Objective: The aim of this study was to compare the clinical impact of computerized ...
Background: Computerised decision-support systems (CDSSs) for antibiotic stewardship could help to a...
Objective A clinical decision support system (CDSS) for empirical antibiotic treatment has the poten...
There is wide variability in the use and adoption of recommendations generated by computerized clini...