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Record W2413154611 · doi:10.1097/cin.0000000000000167

A Multidisciplinary Collaborative Web Site for Cardiovascular Surgery

2015· article· en· W2413154611 on OpenAlexaff
Suzanne Fredericks

Bibliographic record

VenueCIN Computers Informatics Nursing · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMultidisciplinary approachVice presidentManagementWeb siteLibrary scienceMedicineBusinessSociologyWorld Wide WebThe InternetComputer scienceEconomicsSocial science

Abstract

fetched live from OpenAlex

Key Points:\n\n* Patients, healthcare providers, and students have differing information needs in regard to surgical procedures.\n* Often, separate information sources are designed for each group, resulting in fragmented information.\n* Interactive, multidisciplinary, collaborative Web site is being developed to address the needs of all members of the healthcare team.\n\nCardiovascular surgical (CVS) settings encompass shared physical spaces that are accessible to patients, physicians, nurses, residents, and other members of the healthcare team.1 Dynamic, fluid interactions are constantly occurring among various members of the team at any point in time.1 Within these interactions, each member seeks to meet unique information and communication needs. For example, patients require information and support for learning and application of new self-care behavior skills, residents and students require mentorship to guide practice, and nurses and physicians require up-to-date empirical and theoretical information to revise and evaluate existing care endeavors. Traditionally, separate resources have been designed and administered for each member of the healthcare team; however, a single intervention that addresses the needs of each member of a multidisciplinary team has not been designed or evaluated.2,3 We developed an interactive, multidisciplinary, collaborative Web site as an intervention designed to address the needs of all members of the healthcare team, including patients. The Web site addresses the needs of postoperative patients, cardiovascular medical residents, nursing students, and other trainees, as well as nurses and physicians. In doing so, the site mimics the collective functioning of the existing healthcare teams within a shared physical space. The Web site can be accessed by different members of the healthcare team anywhere there is a wireless connection, and so it does not depend on shared physical space. Furthermore, it allows for interactive discussion through online chat rooms and open forums. As a result of this Web site, we anticipate an increase in the quality of patient care that is delivered within the CVS setting.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.271
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2710.059

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 head0.042
GPT teacher head0.271
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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