Strategic Research for improving survival in the community
Improving survival in time-critical emergencies, including out-of-hospital cardiac arrest
Our work helps educate communities about emergent symptoms, particularly those related to cardiac arrest, as well as when to call and how to communicate with emergency dispatchers. We empower emergency calls with AI and communication technology to improve efficiency and speed in response.
The biggest opportunity to save more lives lies in optimizing the first two links in the chain of survival: enabling the bystander to activate the chain of survival early and having a dispatcher effectively coach the bystander to help until the ambulance arrives.
Supporting 113 operators with AI
Short name:
AICoS
Objectives and aim:
AICoS aims to support the important teamwork between callers and EMS operators, leading to increased and improved response to time-critical, medical emergencies like cardiac arrest, trauma, stroke and sepsis. A first version is intended for EMS call centers in Norway, with the aim of also being useful for WHO’s Emergency Care System initiative.
The project uses simulated patient cases for iterative development. Research methods are used to develop new functionality and to study outcomes.
Partners:
Oslo University Hospital, Stavanger University Hospital, SAFER, Microsoft Innovation Hub.
Laerdal concepts and regulatory:
Available AI and communication services from Microsoft, including voice to text and image interpretation allows for rapid iterations. Retrieval Augmented Generation uses Indeks to suggest questions and first aid advice to the caller. A functional prototype has been made with iterations being tested using scenarios with make-up.
Scenarios include sepsis, stroke, burns and accidents. Principles of clinical investigation will be applied for the performance and safety of medical advice. We will use our quality system and MDR pathways for CE marking.
Workplace training in First Aid and CPR using Virtual Reality
Short name:
HEROS VR
Objectives and aim:
Our aim is to introduce a new workplace BLS learning experience that addresses overlooked areas such as early symptom recognition, timely EMS activation, and emotional preparedness using VR and AI technologies.
Specific aims include:
- Exploring barriers and facilitators of using the VR solution among instructors.
- Exploring experience, learning outcomes, and practical considerations among learners and managers at workplace.
- Assessing feasibility, acceptability, and usability of the VR solutions for both instructors and learners.
Partners:
Enhanced Community First Responder System Evaluation in Singapore
Short name:
TCPR-Link
Objectives and aim:
Optimize CPR quality before ambulance arrival through better volunteer - dispatcher teamwork and QI, made possible through TCPRLink Innovations used in a network of volunteers.
A RCT where community first resonders (CFR) in the intervention arm will use the TCPR Link® system (2nd-gen CPRcard®, app, and web interface), enabling real-time streaming of CPR data, video, and audio to dispatchers. Dispatchers will be trained to provide enhanced guidance using this data. Control arm CFRs will use the same CPRcard® but without access to app/web functionalities. Feedback will be limited to card indicator lights. All CFRs will perform CPR until EMS arrival
Partners:
Singapore General Hospital, Unit for Pre-hospital Emergency Care (UPEC) with Singapore Civil Defence Force
Principal Investigator:
Dr. Marcus Ong
Funding:
Research Council of Norway (309935) and Laerdal Medical
Ethical approval by UPEC
Clinicaltrials.gov ID:
NCT06530433
Links to partner page:
https://www.duke-nus.edu.sg/perc/research-@-perc/community-interventions/tcpr-link-system
