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Record W2315909567 · doi:10.1177/154193120404801501

Designing an Information Querying Interface for a Rheumatoid Arthritis Patient Record System

2004· article· en· W2315909567 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Management and Leadership
Canadian institutionsUniversity of Toronto
FundersUniversity Health Network
KeywordsComputer scienceInterface (matter)AbstractionDomain (mathematical analysis)CognitionHierarchyMedical recordWork (physics)Human–computer interactionInformation retrievalMedicineEngineeringSurgery

Abstract

fetched live from OpenAlex

Physicians need to integrate large amounts of information from patient records to determine their patients' current status. Retrieving and querying patient related information involves cognitive processes. To design an easy to use and effective querying interface for modern electronic medical records, a good understanding of the cognitive processes involved in patient related information querying is essential. In this paper cognitive work analysis (CWA) is discussed as a tool for understanding the work domain and for guiding the development of new electronic patient record interfaces, in our case for use by rheumatologists. In particular, CWA is discussed from the point of view of the abstraction hierarchy (AH) framework, and an initial AH of the patient information system work domain is presented.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.623

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 studies0.0010.000
Scholarly communication0.0000.003
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 head0.015
GPT teacher head0.199
Teacher spread0.183 · 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