ArticleJournal of the American Medical Informatics Association : JAMIA2013
A long-term follow-up evaluation of electronic health record prescribing safety.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00603070 (Electronic Prescribing and Electronic Transmission of Discharge Medication Lists to Improve Ambulatory Medication Safety), which is not on this map. Cited by 18 papers, 3 of them syntheses that pooled 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.
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.
Electronic Prescribing and Electronic Transmission of Discharge Medication Lists to Improve Ambulatory Medication Safety
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review.BMC medical informatics and decision making · 2024Pooled it
- Prevalence, contributing factors, and interventions to reduce medication errors in outpatient and ambulatory settings: a systematic review.International journal of clinical pharmacy · 2023Pooled it
- Transitioning from One Electronic Health Record to Another: A Systematic Review.Journal of general internal medicine · 2023Pooled it
- Long term extension of a randomised controlled trial of probiotics using electronic health records.Scientific reports · 2018Trial
- Evaluating Clinical Staff Perceptions of EHR Usability, Satisfaction, and Adaptation to a New EHR: A Multisite, Pre-Post Implementation Study.Applied clinical informatics · 2025Article
- A simulation study to quantitatively assess the performance of electronic prescribing systems in English NHS Hospital Trusts.Scientific reports · 2025Article
- Pancreatic cancer is associated with medication changes prior to clinical diagnosis.Nature communications · 2023Article
- An e-Delphi study to obtain expert consensus on the level of risk associated with preventable e-prescribing events.British journal of clinical pharmacology · 2022Article
- Health information technology as a learning health system: Call for a national monitoring system.Learning health systems · 2020Article
- Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Applied clinical informatics · 2017Article
- Evaluation of a systematic methodology to detect in near real-time performance changes during electronic health record system implementations: a longitudinal study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Systematic Review of Medical Informatics-Supported Medication Decision Making.Biomedical informatics insights · 2017Review
- How Physician Perspectives on E-Prescribing Evolve over Time. A Case Study Following the Transition between EHRs in an Outpatient Clinic.Applied clinical informatics · 2016Article
- N-Acetylcysteine (NAC)-Induced Hyponatremia Caused by an Electronic Medical Record (EMR) Order Error.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2015Article
- Are family physicians comprehensively using electronic medical records such that the data can be used for secondary purposes? A Canadian perspective.BMC medical informatics and decision making · 2015Article
- Electronic health records and health care quality over time in a federally qualified health center.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- How to improve prescription of inhaled salbutamol by providing standardised feedback on administration: a controlled intervention pilot study with follow-up.BMC health services research · 2015Article
- Evaluating drug-drug interaction information in NDF-RT and DrugBank.Journal of biomedical semantics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveTo be eligible for incentives through the Electronic Health Record (EHR) Incentive Program, many providers using older or locally developed EHRs will be transitioning to new, commercial EHRs. We previously evaluated prescribing errors made by providers in the first year following transition from a locally developed EHR with minimal prescribing clinical decision support (CDS) to a commercial EHR with robust CDS. Following system refinements, we conducted this study to assess the rates and types of errors 2 years after transition and determine the evolution of errors. MATERIALS AND
methodsWe conducted a mixed methods cross-sectional case study of 16 physicians at an academic-affiliated ambulatory clinic from April to June 2010. We utilized standardized prescription and chart review to identify errors. Fourteen providers also participated in interviews.
resultsWe analyzed 1905 prescriptions. The overall prescribing error rate was 3.8 per 100 prescriptions (95% CI 2.8 to 5.1). Error rates were significantly lower 2 years after transition (p<0.001 compared to pre-implementation, 12 weeks and 1 year after transition). Rates of near misses remained unchanged. Providers positively appreciated most system refinements, particularly reduced alert firing. DISCUSSION: Our study suggests that over time and with system refinements, use of a commercial EHR with advanced CDS can lead to low prescribing error rates, although more serious errors may require targeted interventions to eliminate them. Reducing alert firing frequency appears particularly important. Our results provide support for federal efforts promoting meaningful use of EHRs.
conclusionsOngoing error monitoring can allow CDS to be optimally tailored and help achieve maximal safety benefits. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov, Identifier: NCT00603070.
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.