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Emergency-SonaRes: A System for Ultrasound Diagnostics Support in Extreme Cases

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Abstract

Statistics show that in cases of natural disasters, catastrophes and accidents about 70 % of affected persons need specific healthcare approach limited in time. Ultrasound diagnostics at the site of disaster is aimed at determining the level of urgency to save lives and to prevent any complications for people at risk. The Emergency-SonaRes system provides help to physicians from emergency crews in determination of adequate diagnosis in proper time for saving lives of patients. It will offer on-the-fly instructions to obtain qualitative images of affected organs and recommendations for victims sorting: to provide medical assistance in the site or after quick evaluation of the patient state to send him immediately to clinic specialized in organ’s pathology or injured organs’ system. Two versions of the system are presented: the first one, which can be used at the accident site, as well as in most departments of medical clinics, involved in emergency care – Critical and Intensive Care Service, Emergency Department, Imaging Department. The second version is recommended for utilization in Emergency Medical Services.

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Acknowledgments

This work has been supported by the Supreme Council for Science and Technological Development under projects 11.817.08.03A “Advanced technologies of intelligent systems development for Information Society” and 13.824.18.170T “Clinical decision support system in domain of ultrasound examination of the hepato-pancreato-biliary zone (SonaRes 13)”.

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Correspondence to Constantin Gaindric .

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Gaindric, C., Cojocaru, S., Popcova, O., Puiu, S., Secrieru, I. (2014). Emergency-SonaRes: A System for Ultrasound Diagnostics Support in Extreme Cases. In: Teodorescu, HN., Kirschenbaum, A., Cojocaru, S., Bruderlein, C. (eds) Improving Disaster Resilience and Mitigation - IT Means and Tools. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9136-6_18

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  • DOI: https://doi.org/10.1007/978-94-017-9136-6_18

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9135-9

  • Online ISBN: 978-94-017-9136-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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