ArticleApplied clinical informatics2018
Using Clinical Data Standards to Measure Quality: A New Approach.
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 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.
- Measuring uptake of the 2024 national standards for survivorship care: Insights from National Cancer Institute funded pilot projects.Journal of cancer survivorship : research and practice · 2026Article
- Data Quality in Health Research: Integrative Literature Review.Journal of medical Internet research · 2023Review
- A lifecycle framework illustrates eight stages necessary for realizing the benefits of patient-centered clinical decision support.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Generating and Reporting Electronic Clinical Quality Measures from Electronic Health Records: Strategies from EvidenceNOW Cooperatives.Applied clinical informatics · 2022Article
- Exploring Quality Differences in Telemedicine Between Hospital Outpatient Departments and Community Clinics: Cross-sectional Study.JMIR medical informatics · 2022Article
- Clinical data sharing improves quality measurement and patient safety.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Validating the Matching of Patients in the Linkage of a Large Hospital System's EHR with State and National Death Databases.Applied clinical informatics · 2021Article
- Harmonization of the ICHOM Quality Measures to Enable Health Outcomes Measurement in Multimorbid Patients.Frontiers in digital health · 2020Article
- Igniting Harmonized Digital Clinical Quality Measurement through Terminology, CQL, and FHIR.Applied clinical informatics · 2020Article
- SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets.JMIR medical informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundValue-based payment for care requires the consistent, objective calculation of care quality. Previous initiatives to calculate ambulatory quality measures have relied on billing data or individual electronic health records (EHRs) to calculate and report performance. New methods for quality measure calculation promoted by federal regulations allow qualified clinical data registries to report quality outcomes based on data aggregated across facilities and EHRs using interoperability standards.
objectiveThis research evaluates the use of clinical document interchange standards as the basis for quality measurement.
methodsUsing data on 1,100 patients from 11 ambulatory care facilities and 5 different EHRs, challenges to quality measurement are identified and addressed for 17 certified quality measures.
resultsIterative solutions were identified for 14 measures that improved patient inclusion and measure calculation accuracy. Findings validate this approach to improving measure accuracy while maintaining measure certification.
conclusionOrganizations that report care quality should be aware of how identified issues affect quality measure selection and calculation. Quality measure authors should consider increasing real-world validation and the consistency of measure logic in respect to issues identified in this research.
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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.