ReviewAustralian prescriber2019
The safety of computerised prescribing in hospitals.
Review in Australian prescriber, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- A randomised trial of pharmacist-led discharge prescribing in an Australian geriatric evaluation and management service.International journal of clinical pharmacy · 2021Trial
- "It's Not Just a System Error": A Qualitative Study of Nurses' Perspectives on Medication Safety in Saudi Hospitals.Healthcare (Basel, Switzerland) · 2026Article
- Transforming quality use of medicines in Saudi Arabia: physician perspectives on electronic prescribing systems.Frontiers in digital health · 2026Article
- Management and governance of medication prescribing alerts among hospitals in Japan: a nationwide survey.BMJ open quality · 2025Article
- Understanding prescribing errors for system optimisation: the technology-related error mechanism classification.BMJ health & care informatics · 2024Article
- Post-implementation optimization of medication alerts in hospital computerized provider order entry systems: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Digital health and prescribing: declare the past, diagnose the present, foretell the future.Australian prescriber · 2023Article
- How would final-year medical students perform if their skill-based prescription assessment was real life?British journal of clinical pharmacology · 2022Article
- Electronic Medication Management Systems: Analysis of Enhancements to Reduce Errors and Improve Workflow.Applied clinical informatics · 2021Article
- A qualitative study of prescribing errors among multi-professional prescribers within an e-prescribing system.International journal of clinical pharmacy · 2021Article
- Errors in electronic prescribing systems.Australian prescriber · 2020Article
Corrections and comments
- Commented on by
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
THE IMPLEMENTATION OF COMPUTERISED PRESCRIBING CAN RESULT IN LARGE REDUCTIONS IN PRESCRIBING ERROR RATES THE FLOW-ON EFFECTS TO PATIENT OUTCOMES ARE NOT WELL STUDIED: THE REDUCTION IN ERRORS IS DEPENDENT ON PRESCRIBERS BECOMING PROFICIENT IN USING THE ELECTRONIC PRESCRIBING SYSTEM ALL POTENTIAL SAFETY BENEFITS ARE THEREFORE NOT EXPECTED TO BE ACHIEVED IMMEDIATELY: ELECTRONIC PRESCRIBING SYSTEMS INTRODUCE NEW TYPES OF ERRORS MOST FREQUENTLY ERRORS IN SELECTION SOME OF THESE ERRORS CAN BE PREVENTED IF THE SYSTEM IS WELL DESIGNED: COMPUTERISED DECISION SUPPORT EMBEDDED IN ELECTRONIC PRESCRIBING SYSTEMS HAS ENORMOUS POTENTIAL TO IMPROVE MEDICATION SAFETY HOWEVER CURRENT SUPPORT SYSTEMS HAVE A LIMITED CAPACITY TO PROVIDE CONTEXT-RELEVANT ADVICE TO PRESCRIBERS:
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.