scholarly journals A Semantic IoT Early Warning System for Natural Environment Crisis Management

2015 ◽  
Vol 3 (2) ◽  
pp. 246-257 ◽  
Author(s):  
Stefan Poslad ◽  
Stuart E. Middleton ◽  
Fernando Chaves ◽  
Ran Tao ◽  
Ocal Necmioglu ◽  
...  
Author(s):  
Katalyn Rossmann ◽  
Rüttger Clasen ◽  
Manuel Münch ◽  
Christian Wurzbacher ◽  
Andreas Tiehm ◽  
...  

2021 ◽  
Vol 5 (GROUP) ◽  
pp. 1-16
Author(s):  
Robert Soden ◽  
Nicolas James LaLone ◽  
Dharma Dailey

This design fiction re-imagines an important informational element of the flood early warning system in order to unpack some of the questionable assumptions that society makes about disaster. In presenting an updated, ironic, vision of an alternative system, we highlight some of the ways that received ideas about the root causes of disaster, who is responsible for public safety, and the role of private sector innovation, are so embedded in the design of technologies used in crisis management that they have become taken for granted. This work demonstrates the potential for design fiction to serve as a tool in the evaluation and critique of safety-critical information systems and as a communication tool for conveying the complex findings of disaster research. It also points to new avenues of exploration for crisis informatics work on public warning systems.


2020 ◽  
Vol 26 (86) ◽  
pp. 72-95
Author(s):  
Ivana Cesarec ◽  
Robert Mikac ◽  
Davor Spevec

We live in a globalized world characterized by constant crises in numerous social and geographical areas. Political instability, climate change, overpopulation, uncontrolled migration, poor governance, crime, as well as many other factors create the circumstances from which crises can develop. Each crisis given its causes and possible consequences requires different approaches and response systems. This research focuses on considering modern technological solutions that have the purpose of alerting and protecting individuals from risks and threats that can lead to their suffering, caused by natural, technical-technological and anthropogenic crisis events. It also aims to link the theory of human security and the big data concept and present their application through the development of the early warning system for crisis management in the Republic of Croatia. This research has significant value because it analyses and describes the establishment of a particular system in the world.


2020 ◽  
Vol 6 (2) ◽  
pp. 112
Author(s):  
Veronika Hutabarat ◽  
Enie Novieastari ◽  
Satinah Satinah

Salah satu faktor dalam meningkatkan penerapan keselamatan pasien adalah ketersediaan dan efektifitas prasarana dalam rumah sakit. Early warning system (EWS) merupakan prasarana dalam mendeteksi perubahan dini  kondisi pasien. Penatalaksanaan EWS masih kurang efektif karena parameter dan nilai rentang scorenya belum sesuai dengan kondisi pasien. Tujuan penulisan untuk mengidentifikasi efektifitas EWS dalam penerapan keselamatan pasien. Metode penulisan action research melalui proses diagnosa, planning action, intervensi, evaluasi dan  refleksi. Responden dalam penelitian ini adalah  perawat yang bertugas di area respirasi dan pasien dengan kasus kompleks respirasi di Rumah Sakit Pusat Rujukan Pernapasan Persahabatan Jakarta. Analisis masalah dilakukan dengan menggunakan diagram fishbone. Masalah yang muncul belum optimalnya implementasi early warning system dalam penerapan keselamatan pasien. Hasilnya 100% perawat mengatakan REWS membantu mendeteksi kondisi pasien, 97,4 % perawat mengatakan lebih efektif dan 92,3 % perawat mengatakan lebih efesien mendeteksi perubahan kondisi pasien. Modifikasi EWS menjadi REWS lebih efektif dan efesien dilakukan karena disesuaikan dengan jenis dan kekhususan Rumah Sakit dan berdampak terhadap kualitas asuhan keperawatan dalam menerapkan keselamatan pasien. Rekomendasi perlu dilakukan monitoring evaluasi terhadap implementasi t.erhadap implementasi REWS dan pengembangan aplikasi berbasis tehnologi


PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 256A-256A
Author(s):  
Catherine Ross ◽  
Iliana Harrysson ◽  
Lynda Knight ◽  
Veena Goel ◽  
Sarah Poole ◽  
...  

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