Evidence map›Paper›PMID 41048993›Full record

ArticleIntegrated pharmacy research & practice2025

A Retrospective Study on the Impact and Benefits of Commercial Clinical Decision Support Systems in Clinical Decision-Making and Pharmaceutical Care.

Lu-Hsuan Wu, I-Ling Liou, Yea-Huei Kao Yang, Ching-Lan Cheng

Abstract read
In one paragraph

Article in Integrated pharmacy research & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lu-Hsuan WuSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
I-Ling LiouDepartment of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yea-Huei Kao YangSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0003-4623-5561
Ching-Lan ChengSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0001-9258-3239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Pharmacists ensure prescription accuracy to safeguard patient safety. Clinical decision support systems (CDSS), integrated with computerized physician order entry (CPOE), help detect medication errors and enhance care quality. Traditional homegrown CDSS (HG systems) require manual updates, while commercial CDSS offer real-time, curated drug data but come with licensing costs. To evaluate the impact and benefits of integrating a commercial CDSS with a CPOE system on clinical decision-making and pharmaceutical care in a Taiwanese medical center. Patients and Methods: This retrospective study was conducted in a 1,354-bed teaching hospital in southern Taiwan in 2022. Alerts generated by a homegrown (HG) CDSS and a commercial CDSS, both integrated with CPOE, were compared. Fifty-six trained inpatient pharmacists reviewed prescription alerts. Effective alerts were defined as those initially missed by physicians but corrected after pharmacist intervention. Alerts were categorized by clinical issue type and severity. A model incorporating the probability of adverse drug events (ADEs), extended hospital stays, and daily costs was used to estimate cost savings. A benefit-cost ratio was calculated to assess the added value of the commercial CDSS. Results: The commercial CDSS generated 357 effective alerts, and the HG system generated 251. Over 95% of pharmacist interventions were accepted by physicians. The commercial CDSS helped avoid inappropriate prescriptions, which resulted in estimated cost savings from USD 78,540 to USD 103,530 and reduced hospital stays by 470-620 days. Conclusion: Using a commercial CDSS to assist pharmacists in prescription verification provides the most real-time information and efficiently identifies inappropriate prescriptions. This reduces medical costs and avoids prolonged hospitalization owing to ADEs.

Indexed as

clinical decision support systemcostdecision-makingpharmaceutical care

Identifiers

PMID41048993
PMCPMC12493107

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.