ArticleJournal of medical systems2025
Unburdening Patients and Clinicians Through Automation and Artificial Intelligence: Informatics Strategies for Reducing Administrative Burden.
Article in Journal of medical systems, 2025. 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.
- Exploring primary care providers' perspectives on clinical decision support for venous thromboembolism diagnosis: a qualitative study.BMJ open · 2026Article
- Recent advances in thoracic anesthesia: lung protection, airway management, and enhanced recovery-a narrative review.Journal of thoracic disease · 2026Review
- Beyond the Hospital: Understanding Psychosocial Support Uptake for Adolescents and Young Adults With Cancer in Community-Based and Nonprofit Programs.Cancer control : journal of the Moffitt Cancer CenterArticle
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
Healthcare delivery systems face mounting administrative complexity that contributes to clinician burnout, medical errors, and reduced access to care for patients. This editorial explores how automation and artificial intelligence (AI) can address key operational inefficiencies-specifically in prior authorization, quality metric reporting, and clinical documentation-by leveraging informatics-driven solutions. We examine the current landscape, quantify the impact of administrative burden, and propose informatics strategies to realign healthcare delivery around patient-centered, efficient care.
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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.