{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T19:35:55Z","timestamp":1773862555371,"version":"3.50.1"},"reference-count":18,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T00:00:00Z","timestamp":1752451200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Transfusion"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Geographic information system (GIS) technology is widely used in public health to track disease patterns, though its application in transfusion medicine is limited. We report the use of GIS software by a hospital\u2010based blood donor program to examine patterns of blood drive activity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design and Methods<\/jats:title><jats:p>We performed a 3\u2010year retrospective study examining our donor program's mobile drives. Esri ArcGIS Pro\u2122 software and ArcGIS Online\u2122 were used to create vector and choropleth maps reflecting activity by town.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Sixteen thousand nine mobile whole blood donations were identified in 2021\u20132023. Four hundred and fifty\u2010five mobile blood drives were hosted at 189 unique locations. Seventeen towns within or intersecting a 15\u2010mile radius of our donation center had never been visited by our bloodmobile during the study period, with adult population sizes ranging from approximately 3000 to 53,000 representing donation opportunities. Untapped blood mobile opportunities were also identified in 33 Massachusetts towns (&gt;700,000 adults) with nearby healthcare facilities in our hospital network.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>GIS\u2010generated maps serve as an effective tool to identify previously successful blood donation locations and locations not yet visited by our donor program. Blood collection centers may benefit from future application of ArcGIS analysis tools to identify optimal locations for future mobile blood drives.<\/jats:p><\/jats:sec>","DOI":"10.1111\/trf.18332","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T10:15:11Z","timestamp":1752488111000},"page":"1630-1639","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Using geographic information system (<scp>GIS<\/scp>) technology to evaluate a hospital\u2010based mobile blood donation program"],"prefix":"10.1111","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7089-1046","authenticated-orcid":false,"given":"Kristen N.","family":"Ruby","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine and Pathology Mayo Clinic  Rochester Minnesota USA"},{"name":"Department of Pathology Massachusetts General Hospital  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3844-4371","authenticated-orcid":false,"given":"Walter H.","family":"Dzik","sequence":"additional","affiliation":[{"name":"Department of Pathology Massachusetts General Hospital  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7305-7195","authenticated-orcid":false,"given":"Julia J.","family":"Collins","sequence":"additional","affiliation":[{"name":"Department of Pathology Massachusetts General Hospital  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongying","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Pathology Brigham and Women's Hospital  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2226-8118","authenticated-orcid":false,"given":"Shawn","family":"Ela","sequence":"additional","affiliation":[{"name":"Department of Pathology Massachusetts General Hospital  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7420-2631","authenticated-orcid":false,"given":"Robert S.","family":"Makar","sequence":"additional","affiliation":[{"name":"Department of Pathology Massachusetts General Hospital  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,7,14]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"Esri.What is GIS? Geographic information system mapping technology. Esri.https:\/\/www.esri.com\/en-us\/what-is-gis\/overview. Accessed 29 Nov 2024"},{"key":"e_1_2_7_3_1","unstructured":"CDC.West Nile virus: current year data (2024). CDC.https:\/\/www.cdc.gov\/west\u2010nile\u2010virus\/data\u2010maps\/current\u2010year\u2010data.html(2025). Accessed 3 Mar 2025"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12919-022-00233-y"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000253"},{"key":"e_1_2_7_6_1","unstructured":"Esri.Lebanese Red Cross: helping the most vulnerable using GIS. Esri videos: GIS events ArcGIS products & industries.https:\/\/mediaspace.esri.com\/media\/t\/1_rywgj8ft(2019). 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