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Record W2119707622 · doi:10.1109/hicss.2002.994069

Using the XML-based Clinical Document Architecture for exchange of structured discharge summaries

2003· article· en· W2119707622 on OpenAlex
Grace I. Paterson, Michael Shepherd, Xiaoli Wang, Carolyn Watters, David Zitner

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiomedical Text Mining and Ontologies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsXMLComputer scienceArchitectureHealth careMarkup languageWorld Wide WebMedicine

Abstract

fetched live from OpenAlex

The XML-based Clinical Document Architecture (CDA) for document exchange defines a three-level document architecture with each higher level adding more specificity to the markup of the document. Such a layered architecture also meets the requirement for semantic processing of hierarchically structured clinical documents. The CDA supports shared care between hospital-based and community-based physicians, knowledge integration by permitting external links to other documents, and outcomes research through the capture of discrete and coded clinical data. The research reported has led to the successful prototyping of a CDA-based Structured Discharge Summary system. Structured discharge summaries are used to move clinical information from the clinical environment, such as the geriatrics department of a hospital, to the community environment of family practice. They are an education, communication, research, and administration tool in the Departments of Medicine and Family Medicine and at the Queen Elizabeth II Health Sciences Centre.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.365
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations31
Published2003
Admission routes1
Has abstractyes

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