Tailored retrieval of health information from the web for facilitating communication and empowerment of elderly people

A patient, nowadays, acquires health information from the Web mainly through a “human-to-machine” communication process with a generic search engine. This, in turn, affects, positively or negatively, his/her empowerment level and the “human-to-human” communication process that occurs between a patient and a healthcare professional such as a doctor. A generic communication process can be modelled by considering its syntactic-technical, semantic-meaning, and pragmatic-effectiveness levels and an efficacious communication occurs when all the communication levels are fully addressed. In the case of retrieval of health information from the Web, although a generic search engine is able to work at the syntactic-technical level, the semantic and pragmatic aspects are left to the user and this can be challenging, especially for elderly people. This work presents a custom search engine, FACILE, that works at the three communication levels and allows to overcome the challenges confronted during the search process. A patient can specify his/her information requirements in a simple way and FACILE will retrieve the “right” amount of Web content in a language that he/she can easily understand. This facilitates the comprehension of the found information and positively affects the empowerment process and communication with healthcare professionals

The use of social networking in the field of health

Background and Purpose: Due to the expanding world of communication and collective means a lot of problems due to the use of tools such as social networks, Facebook, wikis, podcasts, patients like me, my space work, ... that part of the web has been resolved and the development of health information technology has been significant progress And in this article we are going to use social networks as a subset of the Web address in the field of health. Methods and tools: We have type of review and library study is based on the keyword web, social networks, wikis, podcasts, search for health information technology has been. The findings: According to a survey conducted research results show That in more than half a percent of the people using the social networks in the area of health across the board And based on a variety of social networks is that people access the greatest users of health professionals, health care providers or recipients of health care In addition to teaching and research in education and research access applications and information flow as well as other application that involves the collection, storage, processing, retrieval, dissemination and application And two important examples of social networking is one sepas project and edit International Classification of Diseases 11 The important work carried out for the benefit of their knowledge (at the hands of these users also edit the information and completed) And to develop the intelligence community and the health care sector and the measures to build trust between users and users of social networks have And reduce wasted time, cost and increase the delivery of services and better access and more convenient for patients and better access to their information professionals in order to provide better services and innovative solutions have been And these actions resulted in more satisfied patients. Conclusion: According to what was said is hoped that with the development of social networking and enjoying it As one of the efficient web tools in health, education, research and information flow makes new solutions and create new ways For ease of delivering higher quality services to patients and researchers easier access to talent professionals For the treatment, as well as for research activities that all this will encourage the development of health information technology

A comparative analysis of 21 literature search engines

With increasing number of bibliographic software, scientists and health professionals either make a subjective choice of tool(s) that could suit their needs or face a challenge of analyzing multiple features of a plethora of search programs. There is an urgent need for a thorough comparative analysis of the available bio-literature scanning tools, from the user’s perspective. We report results of the first time semi-quantitative comparison of 21 programs, which can search published (partial or full text) documents in life science areas. The observations can assist life science researchers and medical professionals to make an informed selection among the programs, depending on their search objectives. 
Some of the important findings are: 
1. Most of the hits obtained from Scopus, ReleMed, EBImed, CiteXplore, and HighWire Press were usually relevant (i.e. these tools show a better precision than other tools). 
2. But a very high number of relevant citations were retrieved by HighWire Press, Google Scholar, CiteXplore and Pubmed Central (they had better recall). 
3. HWP and CiteXplore seemed to have a good balance of precision and recall efficiencies. 
4. PubMed Central, PubMed and Scopus provided the most useful query systems. 
5. GoPubMed, BioAsk, EBIMed, ClusterMed could be more useful among the tools that can automatically process the retrieved citations for further scanning of bio-entities such as proteins, diseases, tissues, molecular interactions, etc. 
The authors suggest the use of PubMed, Scopus, Google Scholar and HighWire Press - for better coverage, and GoPubMed - to view the hits categorized based on the MeSH and gene ontology terms. The article is relavant to all life science subjects.
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