Modeling uncertain task compliance in dispatch of volunteers to out-of-hospital cardiac arrest patients. (September 2021)
- Record Type:
- Journal Article
- Title:
- Modeling uncertain task compliance in dispatch of volunteers to out-of-hospital cardiac arrest patients. (September 2021)
- Main Title:
- Modeling uncertain task compliance in dispatch of volunteers to out-of-hospital cardiac arrest patients
- Authors:
- Matinrad, Niki
Andersson Granberg, Tobias
Angelakis, Vangelis - Abstract:
- Highlights: Volunteers are dispatched to out-of-hospital cardiac arrest victims. A dynamic dispatch method, considering uncertain task compliance, is developed. The new method is compared to the method currently used in a case study. Dynamic dispatch, accounting for uncertain task compliance, may save more lives. Increasing volunteers' task compliance will further improve the survivability. Abstract: In countries such as Sweden, Italy, Switzerland, and the Netherlands, projects in which volunteers are dispatched to out-of-hospital cardiac arrest (OHCA) patients with the use of mobile phones exist. Once an OHCA case is reported, a notification is sent to the mobile phones of registered volunteers that are in the vicinity of the patient. These projects mostly use static dispatch methods to determine which volunteers should be sent directly to the patient and which ones should pick up an automatic external defibrillator (AED). However, such schemes do not consider uncertainties associated with these task assignment decisions (e.g., if volunteers will do as instructed, or do something else). In this paper, we propose a method for optimized task assignment and dispatch of volunteers to OHCA patients that considers the uncertainty related to volunteers' actions once assigned a task. We then compare the results of our method to those of a static dispatch method used in an ongoing mobile phone volunteer dispatch project in Sweden and validate them using simulation. Furthermore, weHighlights: Volunteers are dispatched to out-of-hospital cardiac arrest victims. A dynamic dispatch method, considering uncertain task compliance, is developed. The new method is compared to the method currently used in a case study. Dynamic dispatch, accounting for uncertain task compliance, may save more lives. Increasing volunteers' task compliance will further improve the survivability. Abstract: In countries such as Sweden, Italy, Switzerland, and the Netherlands, projects in which volunteers are dispatched to out-of-hospital cardiac arrest (OHCA) patients with the use of mobile phones exist. Once an OHCA case is reported, a notification is sent to the mobile phones of registered volunteers that are in the vicinity of the patient. These projects mostly use static dispatch methods to determine which volunteers should be sent directly to the patient and which ones should pick up an automatic external defibrillator (AED). However, such schemes do not consider uncertainties associated with these task assignment decisions (e.g., if volunteers will do as instructed, or do something else). In this paper, we propose a method for optimized task assignment and dispatch of volunteers to OHCA patients that considers the uncertainty related to volunteers' actions once assigned a task. We then compare the results of our method to those of a static dispatch method used in an ongoing mobile phone volunteer dispatch project in Sweden and validate them using simulation. Furthermore, we perform a sensitivity analysis on several parameters to investigate their effect on the performance of the proposed method. With the comparative results we show that the proposed method may help increase the survivability of OHCA patients. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 159(2021)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 159(2021)
- Issue Display:
- Volume 159, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 159
- Issue:
- 2021
- Issue Sort Value:
- 2021-0159-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09
- Subjects:
- Health services -- Emergency response -- Volunteers -- Mobile phone dispatch -- Uncertainty modeling -- Survival function
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2021.107515 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17785.xml