ArticleBMC medical informatics and decision making2022
The development and implementation of a guideline-based clinical decision support system to improve empirical antibiotic prescribing.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A Hybrid Rule-Based and Machine Learning-Based Clinical Decision Support System to Support Prescription Review: Development and External Validation Study.Journal of medical Internet research · 2026Article
- Optimizing antimicrobial stewardship in urology: a qualitative study on needs, values and requirements for clinical decision support.Infection prevention in practice · 2026Article
- Clinical Decision Support for Antibiotic Prescribing Duration in Children With Acute Otitis Media.JAMA network open · 2026Article
- Empiric treatment and probability estimates before and after a decision support system intervention in a sore throat setting: a scenario-based survey study.BMC infectious diseases · 2025Article
- Surgeon-Informed Clinical Decision Support Software for Surgical Risk Prediction and Outcomes Tracking.The Journal of surgical research · 2025Article
- Global variation in antibiotic prescribing guidelines and the implications for decreasing AMR in the future.Frontiers in pharmacology · 2025Review
- Assessing the impact of antimicrobial resistance policies on antibiotic use and antimicrobial resistance-associated mortality in children and adults in low and middle-income countries: a global analysis.BMJ public health · 2025Article
- Decision Challenges for Managing Acute Paediatric Infections: Implications for Antimicrobial Resistance.Antibiotics (Basel, Switzerland) · 2023Article
- Achieving universal health coverage in low- and middle-income countries through digital antimicrobial stewardship.Frontiers in digital health · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo describe and evaluate a clinical decision support system (CDSS) for empirical antibiotic therapy using a systematic framework.
methodsA reporting framework for behavior change intervention implementation was used, which includes several domains: development, evaluation and implementation. Within the development domain a description is given of the engagement of stakeholders, a rationale for how the CDSS may influence antibiotic prescribing and a detailed outline of how the system was developed. Within the evaluation domain a technical validation is performed and the interaction between potential users and the CDSS is analyzed. Within the domain of implementation a description is given on how the CDSS was tested in the real world and the strategies that were used for implementation and adoption of the CDSS.
resultsDevelopment: a CDSS was developed, with the involvement of stakeholders, to assist empirical antibiotic prescribing by physicians. EVALUATION: Technical problems were determined during the validation process and corrected in a new CDSS version. A usability study was performed to assess problems in the system-user interaction. IMPLEMENTATION: In 114 patients the antibiotic advice that was generated by the CDSS was followed. For 54 patients the recommendations were not adhered to.
conclusionsThis study describes the development and validation of a CDSS for empirical antibiotic therapy and shows the usefulness of the systematic framework for reporting CDSS interventions. In addition it shows that CDSS recommendations are not always adhered to which is associated with incorrect use of the system.
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