Outpatient Chemotherapy Administration: Decreasing Wait Times for Patients and Families
Bibliographic record
Abstract
Increasingly, there is a trend to deliver chemotherapy, where possible, in the outpatient ambulatory setting. In the few studies that have explored the setting of cancer care, long wait times are frequently linked to dissatisfaction. Several factors contribute to lengthy waiting times for patients and their families: long registration processes, lag times associated with obtaining laboratory results, time required for patient assessments and preparation of chemotherapeutic agents, adequacy of nursing resources, and physical space constraints in relation to patient volumes. With the goal of improving care delivery in the outpatient clinic, a fast-tracking system was established. Program planning included establishing patient eligibility criteria, protocol and treatment appropriateness, interdepartmental collaboration, development of a communication plan for families and staff, negotiation of physical space, and allocation of human resources. This was instituted by re-allocating existing resources and establishing an autonomous nurse-managed chemotherapy clinic. This fast-tracking program has enabled us to use our existing resources with greater efficiency and improve patient care from safety and quality-of-life perspectives for those included in the program.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".