Local information upload strategy in building up rural community information pages on the Internet: An approach to attending the information needs of rural Sri Lanka

2004 ◽  
Vol 36 (3) ◽  
pp. 241-252 ◽  
Author(s):  
Wathmanel Seneviratne
2016 ◽  
Vol 22 (4) ◽  
pp. 992-1016 ◽  
Author(s):  
Martina A Clarke ◽  
Joi L Moore ◽  
Linsey M Steege ◽  
Richelle J Koopman ◽  
Jeffery L Belden ◽  
...  

To synthesize findings from previous studies assessing information needs of primary care patients on the Internet and other information sources in a primary care setting. A systematic review of studies was conducted with a comprehensive search in multiple databases including OVID MEDLINE, CINAHL, and Scopus. The most common information needs among patients were information about an illness or medical condition and treatment methods, while the most common information sources were the Internet and patients’ physicians. Overall, patients tend to prefer the Internet for the ease of access to information, while they trust their physicians more for their clinical expertise and experience. Barriers to information access via the Internet include the following: socio-demographic variables such as age, ethnicity, income, education, and occupation; information search skills; and reliability of health information. Conclusion: Further research is warranted to assess how to create accurate and reliable health information sources for both Internet and non-Internet users.


2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.


10.2196/17349 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17349
Author(s):  
Aijing Luo ◽  
Zirui Xin ◽  
Yifeng Yuan ◽  
Tingxiao Wen ◽  
Wenzhao Xie ◽  
...  

Background With the rapid development of online health communities, increasing numbers of patients and families are seeking health information on the internet. Objective This study aimed to discuss how to fully reveal the health information needs expressed by patients with hypertension in their questions in a web-based environment and how to use the internet to help patients with hypertension receive personalized health education. Methods This study randomly selected 1000 text records from the question data of patients with hypertension from 2008 to 2018 collected from Good Doctor Online and constructed a classification system through literature research and content analysis. This paper identified the background characteristics and questioning intention of each patient with hypertension based on the patient’s question and used co-occurrence network analysis and the k-means clustering method to explore the features of the health information needs of patients with hypertension. Results The classification system for the health information needs of patients with hypertension included the following nine dimensions: drugs (355 names), symptoms and signs (395 names), tests and examinations (545 names), demographic data (526 kinds), diseases (80 names), risk factors (37 names), emotions (43 kinds), lifestyles (6 kinds), and questions (49 kinds). There were several characteristics of the explored web-based health information needs of patients with hypertension. First, more than 49% of patients described features, such as drugs, symptoms and signs, tests and examinations, demographic data, and diseases. Second, patients with hypertension were most concerned about treatment (778/1000, 77.80%), followed by diagnosis (323/1000, 32.30%). Third, 65.80% (658/1000) of patients asked physicians several questions at the same time. Moreover, 28.30% (283/1000) of patients were very concerned about how to adjust the medication, and they asked other treatment-related questions at the same time, including drug side effects, whether to take the drugs, how to treat the disease, etc. Furthermore, 17.60% (176/1000) of patients consulted physicians about the causes of clinical findings, including the relationship between the clinical findings and a disease, the treatment of a disease, and medications and examinations. Fourth, by k-means clustering, the questioning intentions of patients with hypertension were classified into the following seven categories: “how to adjust medication,” “what to do,” “how to treat,” “phenomenon explanation,” “test and examination,” “disease diagnosis,” and “disease prognosis.” Conclusions In a web-based environment, the health information needs expressed by Chinese patients with hypertension to physicians are common and distinct, that is, patients with different background features ask relatively common questions to physicians. The classification system constructed in this study can provide guidance to health information service providers for the construction of web-based health resources, as well as guidance for patient education, which could help solve the problem of information asymmetry in communication between physicians and patients.


2019 ◽  
Vol 8 (1) ◽  
pp. 562
Author(s):  
Yuni Rahmah ◽  
Elva Rahmah

AbstractIn this paper the language about Millennial Generation Information Search Behavior To Meet Information Needs. This study aims to describe the information seeking behavior of the millennial generation to meet the information needs of this study at the Padang State University. Data were collected through observation and distribution of questionnaires with students of the Indonesian and Regional Languages and Literature Department at Padang State University. Analyzing the data, concluded the following matters. (1). Starting - consists of activities that initiate information seeking activities. In general (100%) determine the topic especially before conducting an information search, in general (90%) conduct information search after discussion or consultation with lecturers, in general (95.23%) know the information needs when attending lectures, (88.4 %) know the information needs specifically, and in general (88%) do information when they are aware of and know the need for information. (2). Chaining - activities following a series of citations, citations or forms of reconciliation between documents with each other. In general (92.8 uses a bibliography to search information, generally (90.4%) use the author's name from the core reference to look for other references in conducting information searches, and in general (92.9%) use subjects from core reference to look for other references (3) Browsing - merawak, looking for, but rather directed, in areas that are considered to have the potential for the information needed.In general (73%) libraries can always meet information needs, in general In general (95.2%) look for information on the internet if the information you are looking for is not found in the printed source of information, (92.8%) generally directly looking for information on the internet if the information you need is not found in the printed source of information, at generally (45.22%) query identification (keywords). (4). Differentiating - sorting, using the features in the information source as a basic reference for checking quality or information content. in general (88%) the internet is the main source of information, in general (92.84%) The source of information printed is still very much needed in fulfilling information needs. (5). Monitoring - monitoring progress by focusing on selected sources. In general (88.09%) looked for the latest information through the internet by searching for the latest articles, in general (78.56%) needed to find the latest information to enrich the reference sources. (6). Extracting - systematically digging in one source to retrieve information that is considered important. In general (90.47 when you need information you often search the search engine (google, yahoo), in general (88.09 often uses a journal database to get information, in general (78.56%) after getting information on the internet , you directly copy the information, in general (76.19%) use the "Google" search engine because it is more relevant than other search engines.Keywords: behavior, millennial generation and information.


2012 ◽  
Vol 8 (1) ◽  
Author(s):  
Ve Leslie E. Atanoza ◽  
Johannes M. Camasura

The study investigates the strategies employed by the students of Cebu Technological University in searching information using digitized resources. It identifies students' information needs using the main campus’ library and describes the information seeking approaches students employ using the Internet, Online databases and Optical media. The study employs simple purposive sampling. It uses descriptive method of survey and document analysis. A focus group discussion was also conducted and computer log monitoring analysis. The study revealed that students’ information needs are varied and course related. Students’ purposes in searching information in digitize sources are to get an overview of their research topic; answering class assignments and gathering related literature. Students supply their own keywords rather than the keywords provided in the index of online databases was generally the first approach used in searching information in digitized sources. Boolean operators and truncations as search techniques were the least used approach. Search engines of Google, Yahoo, and You Tube were the top three preferences of students when using the Internet as a Digitized Information Source. Dealing with too many results to choose from and inadequate instructions on how to proceed with the search usually contribute to the delay in finding the needed information.   Keywords - digitized resources, information seeking strategies


Author(s):  
R. I. Minu ◽  
G. Nagarajan

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.


Web Portals ◽  
2011 ◽  
pp. 270-296 ◽  
Author(s):  
Jane Moon ◽  
Frada Burstein

The aim of this chapter is to review the way portal technology can assist users seeking medical information. There has been an increase in health Internet usage, and better health-care delivery outcomes are predicted as users are better informed when making medical decisions. At the same time, there is much concern about the need for medical portals to meet community information needs. This chapter discusses what constitutes an intelligent portal, discusses desirable portal components and attributes of intelligent portal features, and how these can be implemented to meet the needs of diverse users. Seven Australian medical Web sites have been analysed according to intelligence features. The results and analysis are presented and discussed, in particular, with respect to their functionality as defined for intelligent portals. The discussion is focused on the extent to which these attributes help users with their information seeking and therefore support their decision-making processes.


Author(s):  
Elizabeth Sillence ◽  
Pam Briggs ◽  
Peter R. Harris

As people continue to go online for their health information needs we revisit the issue of trust in relation to e-health. This chapter begins by briefly presenting an overview of e-health and describing current ways in which people are using the Internet for health advice and information. Models of trust are revisited and we then explore two emerging areas within the e-health field: peer resources and mobile health applications. Finally, we revisit and update our guidelines and point to further sources of information in this field.


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