{"id":50,"date":"2020-07-05T02:35:53","date_gmt":"2020-07-05T06:35:53","guid":{"rendered":"https:\/\/sites.bu.edu\/met-dslab\/?page_id=50"},"modified":"2022-02-08T13:00:51","modified_gmt":"2022-02-08T18:00:51","slug":"nurse-dispatching-using-a-dynamic-priority-setting-algorithm","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/met-dslab\/projects\/past_projects\/nurse-dispatching-using-a-dynamic-priority-setting-algorithm\/","title":{"rendered":"Nurse Dispatching using a Dynamic Priority Setting Algorithm"},"content":{"rendered":"<p>In collaboration with researchers at Grand Valley State University<\/p>\n<p>Researchers: Kaming Yip, John Maleyeff, Yuzhen Liang, Marie Vanderkooi, Alida Semrinec, &amp; John P. Farris<\/p>\n<hr \/>\n<p>The research included modeling of time-dependent severity functions and parameter estimation, along with the development of a discrete-event simulation to determine how priorities should be assigned in real time based on characteristics of patient needs. A discrete-event simulation model that mimics a medical department, such as a hospital ward, ICU, or cardiac care unit is created.<\/p>\n<p>Inputs include care tasks requiring a specified skill level to complete. Some tasks, such as the administration of medications must take place within a certain time frame and other tasks, such as machine alarms, will occur at random times. Available resources consist of personnel who would accomplish the required tasks. The main challenge was to model the dynamic priorities due to the increase in the severity of a patient\u2019s need until the need is addressed.<\/p>\n<p><img loading=\"lazy\" src=\"\/met-dslab\/files\/2020\/07\/Average_Queue_Times_8-636x419.png\" alt=\"\" width=\"636\" height=\"419\" class=\"size-medium wp-image-464 aligncenter\" srcset=\"https:\/\/sites.bu.edu\/met-dslab\/files\/2020\/07\/Average_Queue_Times_8-636x419.png 636w, https:\/\/sites.bu.edu\/met-dslab\/files\/2020\/07\/Average_Queue_Times_8-768x505.png 768w, https:\/\/sites.bu.edu\/met-dslab\/files\/2020\/07\/Average_Queue_Times_8-1024x674.png 1024w, https:\/\/sites.bu.edu\/met-dslab\/files\/2020\/07\/Average_Queue_Times_8.png 1582w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><\/p>\n<p>This is a part of the project aiming to develop a decision support system (DSS) for assigning tasks to medical personnel that includes tasks with time-dependent severities.<\/p>\n<p><span style=\"color: #808080;\">Image by Kaming Yip<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In collaboration with researchers at Grand Valley State University Researchers: Kaming Yip, John Maleyeff, Yuzhen Liang, Marie Vanderkooi, Alida Semrinec, &amp; John P. Farris The research included modeling of time-dependent severity functions and parameter estimation, along with the development of a discrete-event simulation to determine how priorities should be assigned in real time based on [&hellip;]<\/p>\n","protected":false},"author":18030,"featured_media":0,"parent":604,"menu_order":15,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/pages\/50"}],"collection":[{"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/users\/18030"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/comments?post=50"}],"version-history":[{"count":19,"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/pages\/50\/revisions"}],"predecessor-version":[{"id":904,"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/pages\/50\/revisions\/904"}],"up":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/pages\/604"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/met-dslab\/wp-json\/wp\/v2\/media?parent=50"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}