ReviewCurrent cardiology reports2014
Improving cardiovascular outcomes using electronic health records.
Review in Current cardiology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Design and Validation of an AI-Assisted Sequential Screening Framework for Psychological Distress in Glaucoma.medRxiv : the preprint server for health sciences · 2026Article
- Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study.JMIR public health and surveillance · 2019Article
- Preserving differential privacy in convolutional deep belief networks.Machine learning · 2017Article
- Active Use of Electronic Health Records (EHRs) and Personal Health Records (PHRs) for Epidemiologic Research: Sample Representativeness and Nonresponse Bias in a Study of Women During Pregnancy.EGEMS (Washington, DC) · 2017Article
- Electronic health records to facilitate clinical research.Clinical research in cardiology : official journal of the German Cardiac Society · 2017Review
- Health Disparities in Hepatitis C Screening and Linkage to Care at an Integrated Health System in Southeast Michigan.PloS one · 2016Article
- Modifying the electronic health record to facilitate the implementation and evaluation of a bundled care program for intensive care unit delirium.EGEMS (Washington, DC) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving quality of care through the enhanced use of digital technologies is becoming an increasingly primary focus of the health care industry in general and cardiovascular (CV) medicine in particular. The recent rapid adoption of electronic health records (EHR) has the potential to improve the management of CV disease by removing variability and assuring at least consideration of guideline-recommended care and appropriate use criteria. This can lead to improved cardiac outcomes at all phases of care; beginning with the automated identification of patients who are at increased risk, implementing evidence based medicine for primary CV prevention, using online decision support tools for acute management, and, possibly most importantly, by connecting the health care provider and the patient through open accessibility to their EHR. The widespread use of EHR is the dawn of a new era where evidence based guidelines can be seamlessly translated to patient care and where patients are actively involved in their own health. As transformative as this will be, it is important to recognize that we are currently experiencing only the very earliest potential of the EHR in improving CV outcomes.
Indexed as
Identifiers
24408676What 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.