Issue #6 Week of Sep 07, 2026 – Sep 21, 2026
This issue's twelve papers center on workforce and education, with five papers covering nursing informatics competencies, simulation training, AI in nursing practice education, workforce management tools, and pharmacy education. A second thread looks at patient-facing AI tools, including a gastric cancer education chatbot and an AI telephone follow-up system, both compared against human-delivered care. Clinical decision support appears twice, covering a dysphagia screening model and a decision mining tool for quality improvement. NLP and generative AI also appear twice, applied to quality-of-life narratives and rheumatoid arthritis literature, while one paper validates a Chinese-language AI ethics awareness scale.
Papers dropped from 30 to 12 this issue. Workforce and Education remains the leading topic but its share is falling, down from 19 papers last issue to 5 now, while Patient-Facing AI's share is rising, appearing twice after being absent last issue. Clinical decision support continued but shrank from 8 papers to 2, and AI ethics and governance held steady in focus with 1 paper compared to 2 previously. NLP and Generative AI grew slightly from 1 paper to 2. The prior issue's emphasis on student attitudes and AI dependency is not present this issue.
How this digest is made: Papers retrieved bi-weekly from the community-configured sources (PubMed, arXiv, medRxiv, and/or CINAHL — see Digest Settings for this issue's exact sources) using search terms agreed at AINurse-26. Results are restricted to English-language papers; both title and abstract are checked independently, and either being predominantly non-English excludes the paper. Papers are then classified against the community's chosen topics — anything that doesn't clearly match is left out of the issue rather than shown as "Other." Summaries are generated by Claude Sonnet, constrained to report only what the abstract states, with no speculation or inference. The "At a Glance" section above is written under the same constraints — the model synthesizes themes only from the summaries included in this issue, and every number in it (counts, changes since the previous issue) is computed directly from the archive, not by the model. Flagged items indicate incomplete abstracts or unverified peer-review status.