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Assessing the impact of information services in a regionalized health‐care organization

2007· article· en· W2036799149 on OpenAlex
Carolyn Medernach, Joanne Franko

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

VenueHealth Information & Libraries Journal · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsSaskatchewan Health Authority
Fundersnot available
KeywordsMedical libraryThe InternetSample (material)Stratified samplingHealth careSelection (genetic algorithm)MedicineBusinessFamily medicineKnowledge managementNursingComputer scienceWorld Wide WebPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVES: Assessment of the usage of medical library services before and after the implementation of several new services, as well as assessment of the clinical impact of the information provided by the medical library. METHODS: A sample of employees, residents and physicians were surveyed using a stratified, random selection process in two surveys 4 years apart. The response rate for the first survey was 52% and the response rate for the second survey was 35.2%. RESULTS: Differences in usage included increased overall use of the librarians and library services, decreased use of the Internet as a source of information, and direct and indirect impacts upon patient care. Information needs of respondents also increased to where 65% of employees and 94% of physicians require information at least once a week. Patient management was the main reason for needing information. The top two specific uses were to find out about a condition and determine a treatment plan. CONCLUSIONS: These findings parallel some of the findings of other researchers, and contradict the findings of others. Possible explanations for these findings and implications for future research are discussed.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.018
Open science0.0000.000
Research integrity0.0000.001
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 head0.081
GPT teacher head0.496
Teacher spread0.414 · 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