ArticleApplied clinical informatics2018
The Impact of Physician EHR Usage on Patient Satisfaction.
Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.
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
36 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- Physician Burnout and the Electronic Health Record Leading Up to and During the First Year of COVID-19: Systematic Review.Journal of medical Internet research · 2022Pooled it
- The Healer's Art: Remembering Our Professional Lineage in Community through the Cultivation of Individual Core Values.MedEdPublish (2016) · 2018Pooled it
- An Electronic Health Record-Integrated, Large Language Model-Powered Tool to Triage Surgical Patients.JAMA network open · 2026Article
- A Preliminary Conceptual Framework of Clinical Documentation Burden: Exploratory Factor Analysis Investigating Usability, Effort, and Perceived Burden among Health Care Providers.Applied clinical informatics · 2025Article
- Assessing Medication CDS Usability: Pilot Results from 10 Outpatient Clinics.Applied clinical informatics · 2025Article
- Article
- Perceptions and attitudes toward artificial intelligence among frontline physicians and physicians' assistants in Kansas: a cross-sectional survey.JAMIA open · 2024Article
- Charting Tomorrow's Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future.Cureus · 2024Review
- Association of physician burnout with perceived EHR work stress and potentially actionable factors.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Putting ChatGPT's Medical Advice to the (Turing) Test: Survey Study.JMIR medical education · 2023Article
- Electronic Health Record Work Demands for Gastroenterology and Hepatology Providers: A Prospective Use Analysis and Survey Study.Digestive diseases and sciences · 2023Article
- Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- The Value of Electronic Health Records Since the Health Information Technology for Economic and Clinical Health Act: Systematic Review.JMIR medical informatics · 2022Review
- Evaluating the Impact of a Point-of-Care Cardiometabolic Clinical Decision Support Tool on Clinical Efficiency Using Electronic Health Record Audit Log Data: Algorithm Development and Validation.JMIR medical informatics · 2022Article
- Opportunities to use electronic health record audit logs to improve cancer care.Cancer medicine · 2022Review
- Perceived Value of the Electronic Health Record and Its Association with Physician Burnout.Applied clinical informatics · 2022Article
- Quantifying the Electronic Health Record Burden in Head and Neck Cancer Care.Applied clinical informatics · 2022Article
- The Impact of Telemedicine on Physicians' After-hours Electronic Health Record "Work Outside Work" During the COVID-19 Pandemic: Retrospective Cohort Study.JMIR medical informatics · 2022Article
- A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
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
Background and Significance: The increased emphasis on patient satisfaction has coincided with the growing adoption of electronic health records (EHRs) throughout the U.S. The 2001 Institute of Medicine Report, “Crossing the Quality Chasm,” identified patient-centered care as a key element of quality health care.[1] In response to this call, the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was developed to assess patients' health care experiences in the inpatient setting. Simultaneously, financial incentives have facilitated the rapid adoption of EHR applications, with 84% of hospitals maintaining at least a basic EHR in 2015 (a ninefold increase since 2008).[2] Despite the concurrent deployment of patient satisfaction surveys and EHRs, there is a poor understanding of the relationship that may exist between physician usage of the EHR and patient satisfaction. Most prior research into the impact of the EHR on physician–patient communication has been observational, describing the behaviors of physicians and patients when the clinician accesses an EHR in the exam room. Past research has shown that encounters where physicians access the EHR are often filled with long pauses,[3] and that few clinicians attempt to engage patients by sharing what they are looking at on the screen.[4] A recent meta-analysis reviewing 53 papers found that only 7 studies attempted to correlate objective observations of physician communication behaviors with patient perceptions by eliciting feedback from the patients.[5] No study used a standardized assessment tool of patient satisfaction. The authors conclude that additional work is necessary to better understand the patient perspective of the presence of an EHR during a clinical encounter. Additionally, increasing EHR adoption and emphasis on patient satisfaction have also corresponded with rising physician burnout rates.[6] [7] Prior work suggests that EHR adoption may be contributing to this trend.[8] Burnout from the EHR may be due in part to the significant amount of time physicians spend logged into systems, documenting long after clinic has ended in effort to avoid disrupting the patient–physician relationship.[9] We used existing data sources to describe the relationship between the amount of time physicians spend logged in to the EHR—both during daytime hours as well after clinic hours—and performance on a validated patient satisfaction survey. Our null hypothesis is that there is no relationship between increased time logged in to the EHR and patient satisfaction.
Indexed as
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.