English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

As described herein, we sought knowledge necessary to make a roster for nurses by analyzing nurse scheduling data and incident reports on the night shift. Even today, it is difficult to say that computers are used effectively producing nurse rosters. One reason is that algorithms suggested by researchers are not practical for nurses working at various sites because they are built without consideration of medical accidents known as âincidentsâ. Another reason is that the study of incidents from a team's perspective, which is the original mode of working as a nurse, is not available. Therefore, this study was conducted for discovery of knowledge to help produce a nursing roster by analyzing nurse scheduling data and incident data for night shifts from the viewpoint of teams, which is the original mode of working for nurses.

Extraction of Useful Knowledge for Making Roster by Analyzing Nurse Scheduling Data and Incident Data