{"id":{"repo_id":"brock","oai_identifier":"oai:brocku.scholaris.ca:10464/5733"},"canonical_url":"https://search.dev.ndltd.org/etd/brock/oai:brocku.scholaris.ca:10464/5733","repository":{"repo_id":"brock","name":"Brock University","base_url":"https://brocku.scholaris.ca/server/oai/request"},"display":{"title":"Process Improvement in Phlebotomy","abstract":"This study has two main objectives. First, the phlebotomy process at the St. Catharines Site of the Niagara Health System is investigated, which starts when an order for a blood test is placed, and ends when the specimen arrives at the lab. The performance measurement is the flow time of the process, which reflects concerns and interests of both the hospital and the patients. Three popular operational methodologies are applied to reduce the flow time and improve the process: DMAIC from Six Sigma, lean principles and simulation modeling. Potential suggestions are provided for the St. Catharines Site, which could result in an average of seven minutes reduction in the flow time. The second objective addresses the fact that these three methodologies have not been combined before in a process improvement effort. A structured framework combining them is developed to benefit future study of phlebotomy and other hospital processes.","abstract_html":"This study has two main objectives. First, the phlebotomy process at the St. Catharines Site of the Niagara Health System is investigated, which starts when an order for a blood test is placed, and ends when the specimen arrives at the lab. The performance measurement is the flow time of the process, which reflects concerns and interests of both the hospital and the patients. Three popular operational methodologies are applied to reduce the flow time and improve the process: DMAIC from Six Sigma, lean principles and simulation modeling. Potential suggestions are provided for the St. Catharines Site, which could result in an average of seven minutes reduction in the flow time. The second objective addresses the fact that these three methodologies have not been combined before in a process improvement effort. A structured framework combining them is developed to benefit future study of phlebotomy and other hospital processes.","abstract_has_math":false,"creators":["Huang, Yunqu (Coey)"],"institution":"Brock University","degree_name":"M.Sc. Management","degree_level":"Masters","degree_discipline":"Faculty of Business","degree_department":"Faculty of Business Programs","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-09-17","date_published":"2014-09-17","updated_at":"2026-07-24T01:22:58Z","subjects":["phlebotomy","process improvement","lean","six sigma","simulation"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10464/5733","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Faculty of Business Programs"]},{"key":"dc:creator","label":"Author","values":["Huang, Yunqu (Coey)"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-09-17T19:00:23Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-09-17T19:00:23Z"]},{"key":"dc:date.issued","label":"Date","values":["2014-09-17"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Faculty of Business"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.Sc. 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The performance measurement is the flow time of the process, which reflects concerns and interests of both the hospital and the patients. Three popular operational methodologies are applied to reduce the flow time and improve the process: DMAIC from Six Sigma, lean principles and simulation modeling. Potential suggestions are provided for the St. Catharines Site, which could result in an average of seven minutes reduction in the flow time. The second objective addresses the fact that these three methodologies have not been combined before in a process improvement effort. A structured framework combining them is developed to benefit future study of phlebotomy and other hospital processes."]},{"key":"dc:title","label":"Title","values":["Process Improvement in Phlebotomy"]}]}],"canonical_facts":{"dc:contributor.department":["Faculty of Business Programs"],"dc:creator":["Huang, Yunqu (Coey)"],"dc:date.accessioned":["2014-09-17T19:00:23Z"],"dc:date.available":["2014-09-17T19:00:23Z"],"dc:date.issued":["2014-09-17"],"dc:description.abstract":["This study has two main objectives. First, the phlebotomy process at the St. Catharines Site of the Niagara Health System is investigated, which starts when an order for a blood test is placed, and ends when the specimen arrives at the lab. The performance measurement is the flow time of the process, which reflects concerns and interests of both the hospital and the patients. Three popular operational methodologies are applied to reduce the flow time and improve the process: DMAIC from Six Sigma, lean principles and simulation modeling. Potential suggestions are provided for the St. Catharines Site, which could result in an average of seven minutes reduction in the flow time. The second objective addresses the fact that these three methodologies have not been combined before in a process improvement effort. A structured framework combining them is developed to benefit future study of phlebotomy and other hospital processes."],"dc:identifier.uri":["http://hdl.handle.net/10464/5733"],"dc:language.iso":["eng"],"dc:subject":["phlebotomy","process improvement","lean","six sigma","simulation"],"dc:title":["Process Improvement in Phlebotomy"],"dc:type":["Electronic Thesis or Dissertation"],"thesis:degree_discipline":["Faculty of Business"],"thesis:degree_level":["Masters"],"thesis:degree_name":["M.Sc. 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