Academic Journal
Learning to dispatch volunteers to out-of-hospital cardiac arrests.
| Τίτλος: | Learning to dispatch volunteers to out-of-hospital cardiac arrests. |
|---|---|
| Συγγραφείς: | van den Berg PL; Rotterdam School of Management, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, the Netherlands., Fourmentraux O; Rotterdam School of Management, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, the Netherlands., Henderson SG; School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA., Jagtenberg CJ; School of Business and Economics, Vrije Universiteit, Amsterdam, the Netherlands. c.j.jagtenberg@vu.nl., Li H; School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA. |
| Πηγή: | Health care management science [Health Care Manag Sci] 2026 May 28; Vol. 29 (2). Date of Electronic Publication: 2026 May 28. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Baltzer Science Publishers Country of Publication: Netherlands NLM ID: 9815649 Publication Model: Electronic Cited Medium: Internet ISSN: 1572-9389 (Electronic) Linking ISSN: 13869620 NLM ISO Abbreviation: Health Care Manag Sci Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Bussum, Netherlands : Baltzer Science Publishers, c1998- |
| Ιατρικοί όροι (MeSH): | Out-of-Hospital Cardiac Arrest*/therapy , Emergency Medical Dispatch*/organization & administration , Emergency Medical Service Communication Systems*/organization & administration , Emergency Medical Services*/organization & administration , Volunteers*, Humans ; New Zealand ; Triage ; Cardiopulmonary Resuscitation ; Cell Phone ; Time Factors |
| Περίληψη: | Survival for out-of-hospital cardiac arrest can be significantly improved through volunteer efforts. To shorten the time to good-quality cardiopulmonary resuscitation, some emergency call centers use mobile phone technology to rapidly locate and alert nearby trained volunteers. Some such community first responder systems use phased alerts: notifying increasingly many volunteers with built-in time delays. The policy that defines the phasing of alerts affects both response times, which have a direct relation to survival, and the burden on volunteers. We aim to optimize this policy, which involves trading off these two metrics. The policy may depend on real-time information: where the volunteers are observed in relation to the patient and how long triage took. A direct approach using dynamic programming yields some insights, but is too slow for real-time use. Our contribution lies in recasting this problem as a multi-class classification problem and solving it using empirical data from Auckland, New Zealand's community first response system. This case study shows that phasing the alerts based on real-time information provides important improvements relative to a competitive baseline that is indicative of current practice. (© 2026. The Author(s).) |
| Competing Interests: | Declarations. Conflict of Interest: We have no conflict of interest to declare. Ethics statement: The permission for this study to use the data presented in this paper was granted by Health and Disability Ethics Committees (HDEC), Ministry of Health, Wellington, New Zealand. |
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| Grant Information: | 2023-1-307TKI TKI DINALOG; VI.Veni.191E.005 Nederlandse Organisatie voor Wetenschappelijk Onderzoek; CMMI-2035086 National Science Foundation; OAC-2410950 National Science Foundation |
| Contributed Indexing: | Keywords: Community first response; Dispatch; Dynamic programming; Emergency Medical Services; Multi-class classification |
| Entry Date(s): | Date Created: 20260528 Date Completed: 20260717 Latest Revision: 20260922 |
| Update Code: | 20260922 |
| PubMed Central ID: | PMC13219187 |
| DOI: | 10.1007/s10729-026-09763-9 |
| PMID: | 42207329 |
| Βάση Δεδομένων: | MEDLINE |
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