ORCID Profile
0000-0001-5569-583X
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Publisher: IEEE
Date: 04-2015
Publisher: Springer Science and Business Media LLC
Date: 07-06-2012
DOI: 10.1007/S10916-012-9863-X
Abstract: Effective communication in healthcare is important and especially critical in emergency situations. In this paper we propose a new comprehensive emergency system which facilitates the communication process in emergency cases from ambulance dispatch to the patient's arrival and handover in the hospital. The proposed system has been designed to facilitate and computerize all the processes involved in an accident from finding the nearest ambulance through to accessing a patient's online health record which can assist in pre-hospital treatments. The proposed system also locates the nearest hospital specializing in the patient's condition and will communicate patient identification to the emergency department. The components of the proposed system and the technologies used in building this system are outlined in this paper as well as the challenges expected and proposed solutions to these challenges.
Publisher: Springer Science and Business Media LLC
Date: 25-10-2013
DOI: 10.1007/S10916-013-9986-8
Abstract: The integration of applications is always the most important issue for a development team especially in the healthcare industry. In this paper, a Health Level 7 (HL7) engine system is proposed to solve HL7 challenges, which are associated with applying HL7 in healthcare organizations. This new HL7 engine has been implemented in a hospital as a solution for challenges we have faced. The engine shows great success overcoming known HL7 limitations.
Publisher: Wiley
Date: 30-06-2004
DOI: 10.1002/JNM.532
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Elsevier BV
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 19-06-2012
DOI: 10.1007/S10916-013-9953-4
Abstract: The goal of a national electronic health records integration system is to aggregate electronic health records concerning a particular patient at different healthcare providers' systems to provide a complete medical history of the patient. It holds the promise to address the two most crucial challenges to the healthcare systems: improving healthcare quality and controlling costs. Typical approaches for the national integration of electronic health records are a centralized architecture and a distributed architecture. This paper proposes a new approach for the national integration of electronic health records, the semi-centralized approach, an intermediate solution between the centralized architecture and the distributed architecture that has the benefits of both approaches. The semi-centralized approach is provided with a clearly defined architecture. The main data elements needed by the system are defined and the main system modules that are necessary to achieve an effective and efficient functionality of the system are designed. Best practices and essential requirements are central to the evolution of the proposed architecture. The proposed architecture will provide the basis for designing the simplest and the most effective systems to integrate electronic health records on a nation-wide basis that maintain integrity and consistency across locations, time and systems, and that meet the challenges of interoperability, security, privacy, maintainability, mobility, availability, scalability, and load balancing.
Publisher: SPIE
Date: 24-12-2012
DOI: 10.1117/12.920239
Publisher: IEEE
Date: 07-2015
Publisher: Springer Science and Business Media LLC
Date: 24-06-2014
DOI: 10.1007/S10916-014-0067-4
Abstract: Ontology engineering covers issues related to ontology development and use. In Case Based Reasoning (CBR) system, ontology plays two main roles the first as case base and the second as domain ontology. However, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. This paper proposes an ontology engineering methodology to generate case bases in the medical domain. It mainly focuses on the research of case representation in the form of ontology to support the case semantic retrieval and enhance all knowledge intensive CBR processes. A case study on diabetes diagnosis case base will be provided to evaluate the proposed methodology.
Publisher: IEEE
Date: 06-2011
DOI: 10.1109/MDM.2011.27
No related grants have been discovered for Samir El-Masri.