{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T11:07:54Z","timestamp":1779188874664,"version":"3.51.4"},"reference-count":42,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["INQUIRY"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:p>Patient mobility is a crucial indicator in healthcare resource allocation and improvement. This mobility is due to the uneven distribution of healthcare facilities in its provincial sense. The objective here is to designate the Alzheimer\u2019s disease patients\u2019 mobility patterns in Iran. Through this longitudinal study, by applying process mining techniques on the 28\u2009425 physician office visits recorded in the Salamat Health Insurance (SHI) database between 2019 and 2023, the inter-provincial patient mobility patterns across Iran are revealed. Based on the extracted knowledge about the most essential care flows, patient mobility patterns in provinces with the highest rates of trajectories are constructed, a task that traditional statistical methods cannot assess in healthcare. The inter-provincial process model of patients with the highest count of out-of-province patient mobility (more than 50%) is attributed to Ilam, Alborz, Sistan, and North and South Khorasan provinces; though, Tehran, Alborz, and Isfahan provinces are the preferred medical destinations for 70% of AD treatment. The provinces with the lowest count of patient mobility are Qom, Yazd, Fars, Gilan, Isfahan, Eastern Azerbaijan, and Khorasan Razavi, with rates &lt;1%. The potential of process mining techniques in addressing new problems in healthcare services and the integration between the 2 disciplines is introduced here to better understand their contribution to the health industry. The top provinces with the highest counts of referrals from other provinces (eg, Tehran, Alborz, and Isfahan) have also a high count of the specialist share. Consequently, efforts should be made to promote a rational balance in medical resource allocation throughout provinces nationwide, thereby eliminating the monopolistic status of a particular province.<\/jats:p>","DOI":"10.1177\/00469580261422675","type":"journal-article","created":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T19:04:55Z","timestamp":1773255895000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Patients\u2019 Mobility Patterns: Insights From a Process Mining-Based Longitudinal Study"],"prefix":"10.1177","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9031-3988","authenticated-orcid":false,"given":"Mansoureh","family":"Yari Eili","sequence":"first","affiliation":[{"name":"University of Qom, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatemeh","family":"Hajialiasgari","sequence":"additional","affiliation":[{"name":"Tehran University of Medical Sciences, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7013-8775","authenticated-orcid":false,"given":"Mohammad Hossein","family":"Roozbahani","sequence":"additional","affiliation":[{"name":"Iran University of Science and Technology, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3759-2607","authenticated-orcid":false,"given":"Jalal","family":"Rezaeenour","sequence":"additional","affiliation":[{"name":"University of Qom, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahdi","family":"Shafiee Sabet","sequence":"additional","affiliation":[{"name":"Tehran University of Medical Sciences, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shima","family":"Mohammadi","sequence":"additional","affiliation":[{"name":"Shahrood University of Medical Sciences, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alireza","family":"Atashi","sequence":"additional","affiliation":[{"name":"Tehran University of Medical Sciences, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12942-018-0152-x"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2023.1246982"},{"key":"e_1_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Hekmat SN Haghdoos AA Zamaninasab Z et al. Factors associated with patients\u2019 mobility rates within the provinces of Iran. BMC Health Serv Res. 2022;22(1):1556. https:\/\/doi.org\/10.1186\/s12913-022-08972-6","DOI":"10.1186\/s12913-022-08972-6"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.4236\/health.2014.69105"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-021-07367-3"},{"issue":"11","key":"e_1_3_2_7_2","first-page":"1014","article-title":"Patient mobility in the European Union. Learning from experience","volume":"61","author":"Rosenm\u00f6ller M","year":"2006","unstructured":"Rosenm\u00f6ller M, McKee M, Baeten R. Patient mobility in the European Union. Learning from experience. 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