Analysis of Patients' Mobility Patterns: Insights From a Process Mining-Based Longitudinal Study.
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's disease patients' mobility patterns in Iran. Through this lo...
| Publicado en: | Inquiry (00469580) Vol. 63; pp. 1 - 15 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
3/3/2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192043454&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192043454 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00469580 INQ jtl: Inquiry (00469580) issn: 00469580 maglogo: Y pubinfo: dt: 3/3/2026 vid: 63 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 192043454 192043454 192043454 10.1177/00469580261422675 192043454 ppf: 1 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Analysis of Patients' Mobility Patterns: Insights From a Process Mining-Based Longitudinal Study. aug: au: Yari Eili, Mansoureh Hajialiasgari, Fatemeh Roozbahani, Mohammad Hossein Rezaeenour, Jalal Shafiee Sabet, Mahdi Mohammadi, Shima Atashi, Alireza affil: University of Qom, Iran sug: subj: Alzheimer's Disease Psychosocial Factors Physical Mobility Evaluation Data Mining Human Iran Prospective Studies Empirical Research Digital Health Medical Tourism Health Facilities ab: 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's disease patients' mobility patterns in Iran. Through this longitudinal study, by applying process mining techniques on the 28 425 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 <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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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