ArticleInternational journal of clinical pharmacy2023
Development and retrospective evaluation of a clinical decision support system for the efficient detection of drug-related problems by clinical pharmacists.
Article in International journal of clinical pharmacy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Integration of artificial intelligence applications in clinical pharmacy services: A scoping review.Future healthcare journal · 2026Review
- The impact of the bedside check of medication appropriateness (BED-CMA) at the hematology ward: a mixed-methods study.International journal of clinical pharmacy · 2025Article
- Pharmaceutical Analysis of Inpatient Prescriptions: Systematic Observation of Hospital Pharmacists' Practices in the Early User-Centered Design Phase.JMIR human factors · 2025Article
- Artificial Intelligence and Breast Cancer Management: From Data to the Clinic.Cancer innovation · 2025Review
- Identification, classification, and documentation of drug related problems in community pharmacy practice in Europe: a scoping review.International journal of clinical pharmacy · 2025Article
- Clinical-pharmaceutical assessment of medication CDSS alerts: content appropriateness and patient relevance in clinical practice.Frontiers in pharmacology · 2025Article
- Development and Implementation of a Clinical Decision Support System to Enhance Efficiency and Accuracy in Medication Prescription Review in a Tertiary Care Hospital: A Retrospective Hospital CDSS Register Study.Journal of multidisciplinary healthcare · 2025Article
- Article
- Clinical risk assessment of modelled situations in a pharmaceutical decision support system: a modified e-Delphi exploratory study.International journal of clinical pharmacy · 2024Article
- Prescription and Dispensation of QT-Prolonging Medications in Individuals Receiving Hemodialysis.JAMA network open · 2024Article
- Impact of a Digital Tool on Pharmacy Students' Ability to Perform Medication Reviews: A Randomized Controlled Trial.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical decision support systems (CDSS) can help identify drug-related problems (DRPs). However, the alert specificity remains variable. Defining more relevant alerts for detecting DRPs would improve CDSS.
aimDevelop electronic queries that assist pharmacists in conducting medication reviews and an assessment of the performance of this model to detect DRPs.
methodElectronic queries were set up in CDSS using "triggers" from electronic health records: drug prescriptions, laboratory values, medical problems, vital signs, demographics. They were based on a previous study where 315 patients admitted in internal medicine benefited from a multidisciplinary medication review (gold-standard) to highlight potential DRPs. Electronic queries were retrospectively tested to assess performance in detecting DRPs revealed with gold-standard. For each electronic query, sensitivity, specificity, positive and negative predictive value were computed.
resultsOf 909 DRPs, 700 (77.8%) were used to create 366 electronic queries. Electronic queries correctly detected 77.1% of DRPs, median sensitivity and specificity reached 100.0% (IQRs, 100.0%-100.0%) and 99.7% (IQRs, 97.0%-100.0%); median positive predictive value and negative predictive value reached 50.0% (IQRs, 12.5%-100.0%) and 100.0% (IQRs, 100.0%-100.0%). Performances varied according to "triggers" (p < 0.001, best performance in terms of predictive positive value when exclusively involving drug prescriptions).
conclusionElectronic queries based on electronic heath records had high sensitivity and negative predictive value and acceptable specificity and positive predictive value and may contribute to facilitate medication review. Implementing some of these electronic queries (the most effective and clinically relevant) in current practice will allow a better assessment of their impact on the efficiency of the clinical pharmacist.
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Registered trials
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