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Table 1 Description and evaluation of the clinical decision support system for empirical antibiotic therapy (following the identified reporting criteria by Rawson et al. [8])

From: The development and implementation of a guideline-based clinical decision support system to improve empirical antibiotic prescribing

Description of decision support tool

Type of decision support provided

Antibiotic (empirical) prescribing

Dose optimization

Duration of therapy

Route of administration

Platform on which it is provided

Web-based

Infrastructure

Rule-based

System development

Rationale for development

Makes it easy to do right by generating patient specific antibiotic advices, based on relevant guidelines

Decreasing the risk of overlooking a relevant parameter in antibiotic prescribing

Stakeholders were involved in the development of the system with the use of a usability study. Diagnoses were included in the system on request of stakeholders

Previous feasibility/pilot testing

A usability study was performed to assess the interaction between the system and user. With this study we also assessed whether the generated advices would be followed and identified potential negative outcomes/errors

Evidence supporting evaluation

A usability study provides detailed insight into usability problems experienced by end-users of the system. It also provides insight in the causes of identified problems

How the tool is implemented

A demonstration was given before implementation

The use of the CDSS was regularly promoted by visiting departments. Medical pocket cards were developed as promotional material for the system

An active infectious disease consultancy service system is provided in the hospital where the CDSS is implemented. ID consultants were instructed to remind physicians to use the CDSS

Study design

Justification for study design

Descriptive/observational study. This study design is selected to describe the use of the developed CDSS and adoption of its recommendations

Outcome measure selection

Evaluation of the adoption of generated advices