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Record W2465047775

On the Net : What patients want from your Web site

2001· article· en· W2465047775 on OpenAlexvenueno aff
Michael O’Reilly

Bibliographic record

VenueCanadian Medical Association Journal · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetOtorhinolaryngologyMedicineMalpracticeInternet privacyFamily medicineWorld Wide WebComputer scienceSurgeryLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In a recent On the Net column (CMAJ 2001;164[6]:860), Dr. Michelle Greiver described the Web site she designed to tell patients about her practice. Now an American otolaryngologist has asked patients what they actually want to see on physician-designed Web sites. At the recent meeting of the Head and Neck Surgery Foundation of the American Academy of Otolaryngology (www.entnet.org), Dr. Steven Mobley presented results from his ongoing study of Internet use by otolaryngology patients. Using a standardized survey, he and his colleagues asked patients to tell them how they currently use the Internet. In addition, the patients were asked what they would actually like to see on the Internet. Mobley found that age appears to have no impact on Internet use. Older patients used it as often as younger ones to troll for health information, but usage did increase according to income level. Respondents had used the Internet 1.9 times during the past year to search for health information; 41% reported they looked for information about a specific symptom or diagnosis. Twenty-one percent looked for a physician on the Internet, but 30% of their searches were unsuccessful. Mobley determined that patients want to learn details of their physician's education, experience and malpractice record. They also want to make appointments over the Internet and to access things like laboratory and test results. He concluded that physicians' most vital role in dealing with patients via the Internet is to provide information that is reliable, secure and — above all — useful. For more information about what details physicians should provide on their Web sites, visit Medscape's primer (www.medscape.com/medscape/homepages), which includes a sample home page.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.009
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0690.033

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 head0.038
GPT teacher head0.319
Teacher spread0.281 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2001
Admission routes1
Has abstractyes

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