ArticleJACC. Case reports2025
EHR-Integrated CathPCI and Chest Pain MI Registry at a Tertiary Care Center in Pakistan.
Article in JACC. Case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
backgroundSince 2012, our institute has contributed data to the National Cardiovascular Data Registry's CathPCI and Chest Pain-MI registries using manual forms and semidigital tools. PROJECT RATIONALE: Manual data entry across 4 registries by 3 research assistants led to workflow delays, duplication, and quality gaps. A centralized, electronic health record (EHR)-integrated solution was needed to improve accuracy, reduce redundancy, and streamline compliance reporting. PROJECT SUMMARY: We developed and launched Cardiopulse.pk, a fully paperless digital registry integrated with the hospital's EHR. The platform unified CathPCI and Chest Pain-MI data collection, enabled direct role-based entry, automated patient data transfer, and included built-in validation and skipping logic. It eliminated manual duplication, reduced research assistant workload by 67%, and improved data accuracy (from 60% to 95%) and completeness (from 40% to 100%). Historical data from 2012 to 2024 were successfully migrated. TAKE-HOME MESSAGE: This project shows that EHR-integrated digital registries can significantly enhance data quality, efficiency, and clinical ownership, and the outcomes can serve as a scalable model for other institutions.
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.