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Record W2141490363 · doi:10.1109/hicss.2000.926782

Medical Portals: Web-based access to medical information

2005· article· en· W2141490363 on OpenAlexaff
Michael Shepherd, David Zitner, Carolyn Watters

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsComputer scienceMedical informationWorld Wide WebEnterprise portalKnowledge management

Abstract

fetched live from OpenAlex

Public portals, such as Web search engines, have been available for a number of years and corporate portals that facilitate access to enterprise information within a company, normally through the Web, have been available for the last few years. Such portals are made up of "channels" of information and the purpose of these portals is to provide an interface that presents an organized view of the data to which the user has access, i.e., a straightforward means of access to this data. Both public and corporate portals provide access to potentially vast amounts of complex, distributed information through a Web browser. The infrastructures are based on Web technologies and the common interface is the Web browser. Medical information is vast, complex and distributed. Similar to corporate and public portals, medical portals can provide the medical community with access to medical information through the Web browser. Appropriate portals and channels within those portals can be defined to provide access from the desk of the physician, the hospital administrator, the insurer or the consumer of health services. This paper discusses medical portals that can provide such Web-based access to medical information and describes a three-tier Web architecture to support such access.

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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.612
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0630.012

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 head0.058
GPT teacher head0.495
Teacher spread0.437 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2005
Admission routes1
Has abstractyes

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