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Record W1988156087 · doi:10.12927/cjnl.2000.16285

Pandora's Box: Physician Order Entry and Nursing Work Redesign

2000· review· en· W1988156087 on OpenAlexaffvenueabout
Joy Richards

Bibliographic record

VenueNursing leadership · 2000
Typereview
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMeaning (existential)NursingWork (physics)RestructuringHealth careOrder (exchange)Quality (philosophy)PsychologySociologyMedicineBusinessPolitical scienceEpistemologyEngineering

Abstract

fetched live from OpenAlex

The Canadian health care industry is undergoing unprecedented restructuring in response to the quest for quality management and cost reduction. Physician order entry and on-line results viewing within a fully integrated hospital clinical information system is often thought to be essential to maximum quality management, cost control, and clinical decision support. Using Hackman and Oldham's Job Characteristics model (1989) as a grounding for discussion, this author examines the impact of computerized physician order entry and on-line results viewing on the intrinsic meaning of nursing work and its subsequent redesign. This paper explores the historical meaning of nursing work related to the manual transcription of physician's orders, and contemplates the implications for future nursing work and research. Until now there has been little discussion in the current informatics literature on this topic.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0020.002
Scholarly communication0.0030.007
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.424
GPT teacher head0.481
Teacher spread0.058 · 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 designQualitative
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

Citations4
Published2000
Admission routes3
Has abstractyes

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