ReviewCancer medicine2022
Opportunities to use electronic health record audit logs to improve cancer care.
Review in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- EHR-derived cognitive load is associated with guideline-concordant statin initiation in primary care.BMC medical informatics and decision making · 2026Article
- Critical Success Factors Influencing the Acceptance of a Casemix-Based Hospital Information System: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Article
- Does autotext usage decrease documentation time among resident physicians? A retrospective analysis of electronic health record usage data.JAMIA open · 2025Article
- Clinical decision fatigue: a systematic and scoping review with meta-synthesis.Family medicine and community health · 2025Article
- Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Analysis of Closed Claims Among All Medical Specialties: Importance of Communication and Other Non-Clinical Contributing Factors.Risk management and healthcare policy · 2024Article
- Effect of Tailored Coaching on Physicians' Electronic Health Record Proficiency and User Experience: A Randomized Crossover Study.Mayo Clinic proceedings. Digital health · 2023Article
- Opportunities to use electronic health record audit logs to improve cancer care.Cancer medicine · 2022Review
- From "Cure" to "Care": The Role of the MultiDisciplinary Team on Colorectal Cancer Patients' Satisfaction and Oncological Outcomes.Journal of multidisciplinary healthcare · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid adoption of electronic health records (EHRs) has created extensive repositories of digitized data that can be used to inform improvements in care delivery, processes, and patient outcomes. While the clinical data captured in EHRs are widely used for such efforts, EHRs also capture audit log data that reflect how users interact with the EHR to deliver care. Automatically collected audit log data provide a unique opportunity for new insights into EHR user behavior and decision-making processes. Here, we provide an overview of audit log data and examples that could be used to improve oncology care and outcomes in four domains: diagnostic reasoning and consumption, care team collaboration and communication, patient outcomes and experience, and provider burnout/fatigue. This data source could identify gaps in performance and care, physician uptake of EHR features that enhance decision-making, and integration of data trends for oncology. Ensuring researchers and oncologists are familiar with the data's potential and developing the data engineering capacity to utilize this rich data source, will expand the breadth of research to improve cancer care.
Indexed as
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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.