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Department of Computer and Information Science

Oppgaveforslag

Improved Ambulance Response via Improved Placement of Resources (AI Lab Pitch)

Proposal for master thesis at Norwegian Open AI Lab, NTNU, from Norwegian National Advisory Unit for Prehospital Emergency Medicine (NAKOS), and Department of Emergency Medial Communication Centre (EMCC), Division of Prehospital Services, Oslo University Hospital.

Contact persons: Professor Jo Kramer-Johansen (NAKOS), Håvard Wahl Kongsgård (NAKOS)

Problem Description

In emergency medicine, time is of the essence. Acute conditions like stroke, myocardial infarction, major trauma, and cardiac arrest, result in loss of vital functions and life within minutes. EMCC is the key to rapid first aid when the public calls them for help by providing first aid instructions, but definitive treatment requires arrival of qualified personnel and often, rapid transport to hospital. However, most cases handled by the EMCC, are of less acuity, and to aid call takers at the EMCC to decide and prioritize, they use a paper-based triage-tool. Both acute and less acute cases may need ambulance transport, and usage of available resources are high and growing. When an ambulance transports a patient, it is not available for other missions, so usage of ambulance resources must balance the current load of missions and availability for the next (unknown) acute case. The current solution involves specially trained and experienced dispatchers (Resource Coordinators – RC) in the EMCC that manually assigns each mission to an ambulance, maintaining the delicate balance of workload and contingency within geographic regions.

EMCC in Oslo is the largest in Norway and answers calls to the medical emergency phone number 113 from a population of 1.6 million (Oslo, Akershus, and Østfold). The available resources includes 29 (night) to 45 (day) ambulances based at 15 ambulance stations. Each year EMCC handles 500 000 telephone calls, and the Ambulance department executes more than 150 000 missions each year.

Data Set

The existing data set is an extract from the clinical data system used in EMCC to record each mission – (Akuttmedisinsk informasjonssystem, AMIS). Each mission has a position that has been mapped to a standardized 1000 by 1000 m grid from SSB (Statistics Norway). We will anonymize the dataset, but the SSB-grid ties each mission to more sociodemographic information, as well as historical information such as traffic, weather and climate, public events, and moveable public holidays.

Each observation is per grid per hour and includes; number of events, response intervals for both acute and non-acute missions, and idle-time.

Example information:

  • GRID_ID
  • DATOTID
  • ANTALL_HENDELSER, 
  • ANTALL_AKUTTE_ HENDELSER, 
  • MEAN_UTRYKNIN GSTID_AKUTT
  • MEAN_UTRYKNIN GSTID_AKUTT
  • MEAN_UTRYKNIN GSTID_AKUTT
  • MEAN_BEREDSKAPSTID
  • MEAN_BEREDSKAPSTID
  • MEAN_BEREDSKAPSTID


Use of Data – Dynamic Resource Placement and Prediction

The goal is improved ambulance response intervals by means of
distributed and dynamic placement of resources, and specifically: 

  1. Optimize placement of available ambulance resources based on time of day, season, traffic, population, historical case load, and weather/climate.
  2. Prediction of future events in geographical locations and estimation of case load.

Notes

In this project, the joint interests of sponsor, advisor and student(s) come together. Typically, the project will be based on the problem described by the sponsor AND previous research by Prof. Ole Jakob Mengshoel AND interests of students. If only one or two of these are present, there is no basis for a project.

Please send email(s) to sponsor and/or advisor if you're interested in this project.

Ole Jakob Mengshoel is (more or less) following Keith Downing's selection process for master students - read this:

https://www.idi.ntnu.no/~keithd/advice/masters-selection.html

Faglærer

Ole Jakob Mengshoel Ole Jakob Mengshoel
Professor
313 IT-bygget
735 93440 
 
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