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Record W4400955430 · doi:10.3233/shti240294

Technology-Related Safety Events in Primary and Community Care Settings: A Scoping Review

2024· review· en· W4400955430 on OpenAlexaff
Chantelle Recsky, Kathy L. Rush, Maura MacPhee, Leanne M. Currie

Bibliographic record

VenueStudies in health technology and informatics · 2024
Typereview
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsHarmPatient safetyPrimary careHealth careEvent (particle physics)MedicineKnowledge managementNursingPsychologyComputer sciencePolitical scienceFamily medicine

Abstract

fetched live from OpenAlex

This scoping review assesses the current knowledge on technology-related safety events in primary and community care settings, focusing on patient safety and harm. Utilizing Arksey and O'Malley's methodological framework, a comprehensive literature search was conducted across various databases, yielding 17 relevant articles. The review highlighted predominant safety event issues, such as technology limitations, incorrect data, and software malfunctions, and identified essential risk mitigation strategies. Consultation with healthcare leaders reinforced these findings and revealed additional organizational challenges, emphasizing the need for continuous monitoring, reporting, and analyzing of HIT-related safety concerns. The findings suggest that while safety events in non-acute settings share similarities with those in acute care, they require specific attention and further research.

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)0.009
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.047
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0190.018
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.154
GPT teacher head0.557
Teacher spread0.403 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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