ArticleApplied clinical informatics2025
Sharing a Hybrid Electronic Health Record + Fast Healthcare Interoperability Resources Clinical Decision Support across Health Systems: Automating Smoking Cessation for Pediatric Caregivers.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Combining International Standards to Develop Clinical Decision Support for Parent Smoking Cessation in Pediatrics.Journal of medical Internet research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Experiences sharing complex workflow-integrated clinical decision support (CDS) across health systems are sparse and not well reported. This case study presents the sharing of a hybrid electronic health record (EHR)-native and SMART-compatible CDS tool for automating provision of smoking cessation treatment for caregivers during pediatric visits.We conducted a comprehensive needs assessment using sociotechnical frameworks to identify workflow gaps and technical requirements. A multidisciplinary team of clinical informaticians, software developers, and EHR analysts guided the technology transfer. Iterative testing and feedback informed modifications. The evaluation tracked questionnaire uptake, tobacco use identification rates, and treatment acceptance metrics.The needs assessment revealed critical artifacts such as data architecture, source code repositories, and regulatory requirements, which informed adaptations for the recipient health system. In the preimplementation phase, JXPORT was identified for transferring EHR-native components and the EHR's Active Guidelines Framework was needed to extend the Fast Healthcare Interoperability Resources standard with ordering, posting flowsheet values, and launching activities in the embedded web application. The implementation process resulted in key modifications including same-day nicotine replacement therapy delivery through internal pharmacy services and optimized questionnaire design to improve usability. At the source system, 5.8% (
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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.