ArticleJournal of the American Medical Informatics Association : JAMIA
The HL7 Clinical Document Architecture.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
102 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Common data models and data standards for tabular health data: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- The military health system's personal health record pilot with Microsoft HealthVault and Google Health.Journal of the American Medical Informatics Association : JAMIATrial
- Pathways to Real World Evidence From the Real World of School-Based Physical Fitness Testing (SB-PFT).Learning health systems · 2026Article
- Deconstructing the Interoperability Stack: A Comparative Technical Analysis of HL7 v2, CDA, and the FHIR Resource Framework.Computational and structural biotechnology journal · 2026Review
- Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.Journal of neural engineering · 2025Review
- Diagnosis decoded: a taxonomy and natural language processing analysis of the diagnosis section in German hospital discharge summaries.Health care management science · 2025Article
- Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Implementation report on pioneering federated data access for the German National Emergency Department Data Registry.NPJ digital medicine · 2025Article
- A Review on Integrating Breast Cancer Clinical Data: A Unified Platform Perspective.Current treatment options in oncology · 2025Review
- Accuracy of warm ischemia time measurement using a surgical intelligence software in partial nephrectomies: A validation study.BJUI compass · 2024Article
- Health satisfaction outcome from integrated autonomous mobile clinics.Scientific reports · 2024Article
- Reference Ranges for All: Implementing Reference Ranges for Transgender and Nonbinary Patients.Applied clinical informatics · 2024Article
- Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets.Sensors (Basel, Switzerland) · 2024Article
- Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory.Contemporary clinical trials · 2024Article
- Cancer Registry Enrichment via Linkage with Hospital-Based Electronic Medical Records: A Pilot Investigation.Journal of registry management · 2024Article
- Radiological management and challenges of the twin earthquakes of February 6th.Emergency radiology · 2023Review
- FHIR-PYrate: a data science friendly Python package to query FHIR servers.BMC health services research · 2023Article
- Design and Implementation of a Collaborative Clinical Practice and Research Documentation System Using SNOMED-CT and HL7-CDA in the Context of a Pediatric Neurodevelopmental Unit.Healthcare (Basel, Switzerland) · 2023Article
- Opportunities and Obstacles to the Development of Health Data Warehouses in Hospitals in France: The Recent Experience of Comprehensive Cancer Centers.International journal of environmental research and public health · 2023Review
- Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper.Journal of digital imaging · 2022Article
42 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many people know of Health Level 7 (HL7) as an organization that creates health care messaging standards. Health Level 7 is also developing standards for the representation of clinical documents (such as discharge summaries and progress notes). These document standards make up the HL7 Clinical Document Architecture (CDA). The HL7 CDA Framework, release 1.0, became an ANSI-approved HL7 standard in November 2000. This article presents the approach and objectives of the CDA, along with a technical overview of the standard. The CDA is a document markup standard that specifies the structure and semantics of clinical documents. A CDA document is a defined and complete information object that can include text, images, sounds, and other multimedia content. The document can be sent inside an HL7 message and can exist independently, outside a transferring message. The first release of the standard has attempted to fill an important gap by addressing common and largely narrative clinical notes. It deliberately leaves out certain advanced and complex semantics, both to foster broad implementation and to give time for these complex semantics to be fleshed out within HL7. Being a part of the emerging HL7 version 3 family of standards, the CDA derives its semantic content from the shared HL7 Reference Information Model and is implemented in Extensible Markup Language. The HL7 mission is to develop standards that enable semantic interoperability across all platforms. The HL7 version 3 family of standards, including the CDA, are moving us closer to the realization of this vision.
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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.