ArticlePatient related outcome measures2010
Potential value of electronic prescribing in health economic and outcomes research.
Article in Patient related outcome measures, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- The Role of Artificial Intelligence in Reducing Dispensing Errors for Patient Safety and Quality: A Systems Approach.Risk management and healthcare policy · 2026Article
- Attitude of physiotherapists toward electronic health record in Croatia.Archives of physiotherapy · 2019Article
- How Stakeholder Assessment of E-Prescribing Can Help Determine Incentives to Facilitate Management of Care: A Delphi Study.Journal of managed care & specialty pharmacy · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving access and quality while reducing expenditures in the United States health system is expected to be a priority for many years. The use of health information technology (HIT), including electronic prescribing (eRx), is an important initiative in efforts aimed at improving safety and outcomes, increasing quality, and decreasing costs. Data from eRx has been used in studies that document reductions in medication errors, adverse drug events, and pharmacy order-processing time. Evaluating programs and initiatives intended to improve health care can be facilitated through the use of HIT and eRx. eRx data can be used to conduct research to answer questions about the outcomes of health care products, services, and new clinical initiatives with the goal of providing guidance for clinicians and policy makers. Given the recent explosive growth of eRx in the United States, the purpose of this manuscript is to assess the value and suggest enhanced uses and applications of eRx to facilitate the role of the practitioner in contributing to health economics and outcomes research.
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.