ArticleEGEMS (Washington, DC)2017
Enhanced Quality Measurement Event Detection: An Application to Physician Reporting.
Article in EGEMS (Washington, DC), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 19 citations in OpenAlex.
- Evaluating Large Language Models for Transparent Quality-of-Care Measurement in Children with ADHD.medRxiv : the preprint server for health sciences · 2026Article
- On the use of natural language processing to implement the target trial framework using unstructured data from the electronic health record.Global epidemiology · 2025Article
- Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Deploying a national clinical text processing infrastructure.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes.Journal of biomedical informatics · 2024Article
- Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement.JMIR medical informatics · 2023Article
- Article
- Type 1 Diabetes Management With Technology: Patterns of Utilization and Effects on Glucose Control Using Real-World Evidence.Clinical diabetes : a publication of the American Diabetes Association · 2021Article
- Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant Registries.JAMA network open · 2021Article
- Leveraging Digital Data to Inform and Improve Quality Cancer Care.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Quality Measures and Quality Improvement Initiatives in Osteoporosis-an Update.Current osteoporosis reports · 2019Review
- Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data.JAMIA open · 2019Article
- Extracting Patient-Centered Outcomes from Clinical Notes in Electronic Health Records: Assessment of Urinary Incontinence After Radical Prostatectomy.EGEMS (Washington, DC) · 2019Article
- Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment.JAMIA open · 2019Article
- Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.Journal of biomedical informatics · 2019Article
- Quality improvement initiatives in rheumatology: an integrative review of the last 5 years.Current opinion in rheumatology · 2019Review
- Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Utility of an Electronic Health Record Report to Identify Patients with Delays in Testing for Poorly Controlled Diabetes.Joint Commission journal on quality and patient safetyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The wide-scale adoption of electronic health records (EHR)s has increased the availability of routinely collected clinical data in electronic form that can be used to improve the reporting of quality of care. However, the bulk of information in the EHR is in unstructured form (e.g., free-text clinical notes) and not amenable to automated reporting. Traditional methods are based on structured diagnostic and billing data that provide efficient, but inaccurate or incomplete summaries of actual or relevant care processes and patient outcomes. To assess the feasibility and benefit of implementing enhanced EHR- based physician quality measurement and reporting, which includes the analysis of unstructured free- text clinical notes, we conducted a retrospective study to compare traditional and enhanced approaches for reporting ten physician quality measures from multiple National Quality Strategy domains. We found that our enhanced approach enabled the calculation of five Physician Quality and Performance System measures not measureable in billing or diagnostic codes and resulted in over a five-fold increase in event at an average precision of 88 percent (95 percent CI: 83-93 percent). Our work suggests that enhanced EHR-based quality measurement can increase event detection for establishing value-based payment arrangements and can expedite quality reporting for physician practices, which are increasingly burdened by the process of manual chart review for quality reporting.
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.