ReviewNPJ digital medicine2025
Meeting the challenges of electronic health record (EHR) optimization.
Review in NPJ digital medicine, 2025. 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.
- Availability and Quality of Electronic Health Record Data to Track Physical Function Across a Care Transition.Learning health systems · 2026Article
- A Descriptive Analysis of Morbidity Patterns Among Insured Pet Cats in China Based on Insurance Claims.Veterinary sciences · 2026Article
- Diagnostic innovation and models of care to improve fibrosis detection and risk stratification in steatotic liver disease.The Lancet regional health. Europe · 2026Review
- Predictive Model for Critical Illness Infection in Hospitalized Children with RSV Infection: A Retrospective Study.Diagnostics (Basel, Switzerland) · 2026Article
- "Assessment of an EMR-integrated Onco-Insight hospital-based cancer registry system for data completeness and data entry turnaround time at a tertiary care cancer center in India".Frontiers in oncology · 2026Article
- The European Health Data Space and biobanking in Europe: synergies, tensions and the future governance of data-driven health research.Frontiers in genetics · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic health records (EHRs) offer many potential benefits to clinicians in information accessibility, e-prescriptions, care coordination and more. Despite these benefits, most clinicians experience numerous shortcomings with EHRs that impact user satisfaction, efficiency, patient-physician relationships, and patient safety. With the widespread adoption of this technology already achieved, we must understand the shortcomings of EHRs to ensure these systems fulfill their intended purpose of improving patient care and clinical efficiency. Many systems inadequately incorporate user-friendly best practices and flexible architectures, limiting user control and customization. This review elaborates on usability, process, technology, and policy challenges. We also describe future solutions to mitigate these shortcomings and improve EHR functionality in clinical settings. Effective EHR improvement requires addressing known challenges through improved processes and technological innovation. Future EHR systems must be dynamic and adaptive, allowing seamless implementation of AI and related technologies across diverse clinical contexts and augmenting instead of impeding clinicians.
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.