Scientific and clinical research have advanced the ability of healthcare professionals to more precisely define diseases and classify patients into different groups based on their likelihood of responding to a given treatment, and on their future risks. However, a significant gap remains between the delivery of stratified healthcare and personalization. The latter implies solutions that seek to treat each citizen as a truly unique individual, as opposed to a member of a group with whom they share common risks or health-related characteristics. Personalisation also implies an approach that takes into account personal characteristics and conditions of individuals. This paper investigates how these desirable attributes can be developed and introduces a holistic environment, the iHELP, that incorporates big data management and Artificial Intelligence (AI) approaches to enable the realization of datadriven pathways where awareness, care and decision support is provided based on person-centric early risk prediction, prevention and intervention measures.

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Epidemics are accompanying the mankind from the very beginning of the human society development. It is extremely important to be noted that the biological damaging factor - viruses, bacteria, fungi parasites and their toxins were and exist independently from human society with their potential to cause harm on human health or to threaten the life but in order epidemic to be declared it is a prerequisite some form of society existence.

Introduction: Disaster medicine training is in constant development. The effort to improve education could be facilitated by the students. They could actively participate in the process by providing useful feedback as well as preferences. Purpose: The aim of this study was to survey and analyze the students’ preferences for disaster medicine education. Materials and methods: A cross-sectional survey was conducted among students of the Medical University of Plovdiv.166 students were surveyed ontheir attitude towards disaster medicine as well as preferences for the training course. Results: Disaster medicine training was considered a necessary part of the education. The most approved form of education was practical training, followed by elective course. The most desired topics are those regarding direct casualty management like first aid, first medical aid, triage and evacuation. Conclusions: To better respond to the expectations and educational needs of the students, modification of the training course could be considered.

Introduction: During a disaster, an increase in the number of casualties requiring hospital admission is recorded. This challenge the hospitals' management - there is a need for beds, rooms, consumables, drugs, and medical teams to support the increased number of patients arriving. Purpose: This study aims to analyze the awareness of hospital medical professionals about the required procedures described in the hospital contingency plan for increased bed availability in case of disaster. Materials and methods: 295 hospital medical professionals in the Plovdiv region, Bulgaria, participated in an anonymous survey that contained 55 questions. Results: Most of the respondents are not familiar with the approved procedures to optimize the availability of emergency beds after the disaster that impacts the hospital disaster resilience. Conclusions: Optimization of activities related to operational hospital disaster resilience must include training of medical specialists in immediate bed availability procedures.