SynthesisApplied clinical informatics2021
Interaction Time with Electronic Health Records: A Systematic Review.
Synthesis in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed.
- The consensus-based CINEX guideline for reporting clinical information extraction studies.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- A Protocol for Developing a Staffing Prediction Model for Neonatal Care Using Time-Motion Data.Healthcare (Basel, Switzerland) · 2026Article
- Electronic health records in patient care: strengths, facilitators, challenges, and future directions-a scoping review.BMC health services research · 2026Article
- The Ethics of AI Scribes as Epistemic Agents.JMIR medical informatics · 2026Article
- Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals.PLOS digital health · 2026Article
- Does near-vision correction improve digital data entry accuracy? A simulated within-subject crossover study among community health workers in Malawi.BMJ public health · 2026Article
- Meeting the challenges of electronic health record (EHR) optimization.NPJ digital medicine · 2025Review
- Implementation of large language models in electronic health records.PLOS digital health · 2025Article
- Behavioral Phenotypes in Electronic Health Record Use by Primary Care Providers: a Cluster Analysis.Journal of general internal medicine · 2025Article
- Artificial intelligence and physician burnout: A productivity paradox.Learning health systems · 2025Article
- Comparing artificial intelligence- vs clinician-authored summaries of simulated primary care electronic health records.JAMIA open · 2025Article
- Strategies and Tools for Electronic Health Records and Physician Workflow Alignment: Protocol for a Scoping Review.JMIR research protocols · 2025Article
- Enhancing Nephrology Research with Natural Language Processing and Artificial Intelligence: A Case for More Comprehensive Symptom Documentation.Kidney360 · 2025Article
- Taking a Team Approach: Keep Up with the EHR with a Training and Optimization Program.Applied clinical informatics · 2025Article
- Charting Tomorrow's Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future.Cureus · 2024Review
- Differences in Health Professionals' Engagement With Electronic Health Records Based on Inpatient Race and Ethnicity.JAMA network open · 2023Article
- Identifying Reuse and Redundancies in Respiratory Flowsheet Documentation: Implications for Clinician Documentation Burden.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Information and Data Visualization Needs among Direct Care Nurses in the Intensive Care Unit.Applied clinical informatics · 2022Article
- Integration of Risk Scores and Integration Capability in Electronic Patient Records.Applied clinical informatics · 2022Article
- The Usability of IT Systems in Document Management, Using the Example of theInternational journal of environmental research and public health · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe amount of time that health care clinicians (physicians and nurses) spend interacting with the electronic health record is not well understood.
objectiveThis study aimed to evaluate the time that health care providers spend interacting with electronic health records (EHR).
methodsData are retrieved from Ovid MEDLINE(R) and Epub Ahead of Print, In-Process and Other Non-Indexed Citations and Daily, (Ovid) Embase, CINAHL, and SCOPUS. STUDY ELIGIBILITY CRITERIA: Peer-reviewed studies that describe the use of EHR and include measurement of time either in hours, minutes, or in the percentage of a clinician's workday. Papers were written in English and published between 1990 and 2021.
participantsAll physicians and nurses involved in inpatient and outpatient settings. STUDY APPRAISAL AND SYNTHESIS
methodsA narrative synthesis of the results, providing summaries of interaction time with EHR. The studies were rated according to Quality Assessment Tool for Studies with Diverse Designs.
resultsOut of 5,133 de-duplicated references identified through database searching, 18 met inclusion criteria. Most were time-motion studies (50%) that followed by logged-based analysis (44%). Most were conducted in the United States (94%) and examined a clinician workflow in the inpatient settings (83%). The average time was nearly 37% of time of their workday by physicians in both inpatient and outpatient settings and 22% of the workday by nurses in inpatient settings. The studies showed methodological heterogeneity.
conclusionThis systematic review evaluates the time that health care providers spend interacting with EHR. Interaction time with EHR varies depending on clinicians' roles and clinical settings, computer systems, and users' experience. The average time spent by physicians on EHR exceeded one-third of their workday. The finding is a possible indicator that the EHR has room for usability, functionality improvement, and workflow optimization.
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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.