scholarly journals The Social Model of Translation and Its Application to Internet Search Engines Specialized in Health: The ASEM Search Engine for Neuromuscular Diseases

2010 ◽  
Vol 55 (2) ◽  
pp. 374-386
Author(s):  
Joan Miquel-Vergés ◽  
Elena Sánchez-Trigo
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Search Engines ◽  
Neuromuscular Diseases ◽  
Social Model ◽  
Online Information ◽  
Internet Search ◽  
Quality Health ◽  
Use Of The Internet ◽  
Specialized Texts

The use of the Internet as a source of health information is greatly increasing. However, identifying relevant and valid information can be problematic. This paper firstly analyses the efficiency of Internet search engines specialized in health in order to then determine the quality of the online information related to a specific medical subdomain like that of neuromuscular diseases. Our aim is to present a model for the development and use of a bilingual electronic corpus (MYOCOR), related to the said neuromuscular diseases in order to: a) on one hand, provide a quality health information tool for health professionals, patients and relatives, as well as for translators and writers of specialized texts, and software developers, and b) on the other hand, use the same as a base for the implementation of a search engine (using keywords and semantics), like the ASEM (Federación Española Contra las Enfermedades Neuromusculares) search engine for neuromuscular diseases.

A cross-sectional study on quality of diabetes information identified from the Internet (Preprint)

2019 ◽  
Author(s):  
Jingchun Fan ◽  
Jean Craig ◽  
Na Zhao ◽  
Fujian Song
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Search Engines ◽  
The Internet ◽  
Online Health Information ◽  
Online Information ◽  
Significant Difference ◽  
Content Coverage ◽  
Google Search

BACKGROUND Increasingly people seek health information from the Internet, in particular, health information on diseases that require intensive self-management, such as diabetes. However, the Internet is largely unregulated and the quality of online health information may not be credible. OBJECTIVE To assess the quality of online information on diabetes identified from the Internet. METHODS We used the single term “diabetes” or equivalent Chinese characters to search Google and Baidu respectively. The first 50 websites retrieved from each of the two search engines were screened for eligibility using pre-determined inclusion and exclusion criteria. Included websites were assessed on four domains: accessibility, content coverage, validity and readability. RESULTS We included 26 websites from Google search engine and 34 from Baidu search engine. There were significant differences in website provider (P<0.0001), but not in targeted population (P=0.832) and publication types (P=0.378), between the two search engines. The website accessibility was not statistically significantly different between the two search engines, although there were significant differences in items regarding website content coverage. There was no statistically significant difference in website validity between the Google and Baidu search engines (mean Discern score 3.3 vs 2.9, p=0.156). The results to appraise readability for English website showed that that Flesch Reading Ease scores ranged from 23.1 to 73.0 and the mean score of Flesch-Kincaid Grade Level ranged range from 5.7 to 19.6. CONCLUSIONS The content coverage of the health information for patients with diabetes in English search engine tended to be more comprehensive than that from Chinese search engine. There was a lack of websites provided by health organisations in China. The quality of online health information for people with diabetes needs to be improved to bridge the knowledge gap between website service and public demand.

Quality Assessment of Health Information about Scaphoid Fracture in Chinese Websites (Preprint)

2019 ◽  
Author(s):  
Yaobin Yin ◽  
Jianguang Ji ◽  
Peng Lu ◽  
Wenyao Zhong ◽  
Liying Sun ◽  
...  
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Search Engines ◽  
Medical Information ◽  
Scaphoid Fracture ◽  
Family Members ◽  
Online Information ◽  
Specific Content ◽  
The Mean

BACKGROUND With online health information becoming increasingly popular among patients and their family members, concerns have been raised about the accuracy from the websites. OBJECTIVE We aimed to evaluate the overall quality of the online information about scaphoid fracture obtained from Chinese websites using the local search engines. METHODS We conducted an online search using the keyword “scaphoid fracture” from the top 5 search engines in China, i.e. Baidu, Shenma, Haosou, Sougou and Bing, and gathered the top ranked websites, which included a total of 120 websites. Among them, 81 websites were kept for further analyses by removing duplicated and unrelated one as well as websites requiring payment. These websites were classified into four categories, including forum/social networks, commercials, academics and physician’s personals. Health information evaluation tool DISCERN and Scaphoid Fracture Specific Content Score (SFSCS) were used to assess the quality of the websites. RESULTS Among the 81 Chinese websites that we studied, commercial websites were the most common one accounting more than half of all websites. The mean DISCERN score of the 81 websites was 25.56 and no website had a score A (ranging from 64 to 80).The mean SFSCS score was 10.04 and no website had a score A (range between 24 and 30). In addition, DISCERN and SFSCS scores from academic and physician’s websites were significantly higher than those from the forum/social networks and commercials. CONCLUSIONS The overall quality of health information obtained from Chinese websites about scaphoid fracture was very low, suggesting that patients and their family members should be aware such deficiency and pay special attentions for the medical information obtained by using the current search engines in China.

scholarly journals Protocol paper for the ‘Harnessing resources from the internet to maximise outcomes from GP consultations (HaRI)’ study: a mixed qualitative methods study

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e024188
Author(s):  
Maureen Seguin ◽  
Laura Hall ◽  
Helen Atherton ◽  
Rebecca Barnes ◽  
Geraldine Leydon ◽  
...  
Keyword(s):  
Health Information ◽  
Current Evidence ◽  
The Internet ◽  
Online Health Information ◽  
Online Information ◽  
Wide Range ◽  
Patient Questionnaires ◽  
Ethical Approval ◽  
Use Of The Internet ◽  
Questionnaire Studies

IntroductionMany patients now turn to the internet as a resource for healthcare information and advice. However, patients’ use of the internet to manage their health has been positioned as a potential source of strain on the doctor–patient relationship in primary care. The current evidence about what happens when internet-derived health information is introduced during consultations has relied on qualitative data derived from interview or questionnaire studies. The ‘Harnessing resources from the internet to maximise outcomes from GP consultations (HaRI)’ study combines questionnaire, interview and video-recorded consultation data to address this issue more fully.Methods and analysisThree data collection methods are employed: preconsultation patient questionnaires, video-recorded consultations between general practitioners (GP) and patients, and semistructured interviews with GPs and patients. We seek to recruit 10 GPs practising in Southeast England. We aim to collect up to 30 patient questionnaires and video-recorded consultations per GP, yielding up to 300. Up to 30 patients (approximately three per participating GP) will be selected for interviews sampled for a wide range of sociodemographic characteristics, and a variety of ways the use of, or information from, the internet was present or absent during their consultation. We will interview all 10 participating GPs about their views of online health information, reflecting on their own usage of online information during consultations and their patients’ references to online health information. Descriptive, conversation and thematic analysis will be used respectively for the patient questionnaires, video-recorded consultations and interviews.Ethics and disseminationEthical approval has been granted by the London–Camden & Kings Cross Research Ethics Committee. Alongside journal publications, dissemination activities include the creation of a toolkit to be shared with patients and doctors, to guide discussions of material from the internet in consultations.

scholarly journals Analisis Penerapan Google Custom Search API pada Sistem Pencarian Data

2021 ◽  
Vol 1 (1) ◽  
pp. 29-35
Author(s):  
Ismail Majid
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Important Application ◽  
Search Method ◽  
Online Information ◽  
Test Results ◽  
Search System ◽  
Search Results ◽  
Information Media

Abstrak Sistem Pencarian merupakan aplikasi penting diterapkan pada sebuah media informasi online, namun sejak hadirnya mesin pencari seperti Google orang lebih suka menggunakan alat ini untuk menemukan informasi. Karena metode pencarian yang digunakan terbukti keandalannya. Apakah kita mampu seperti itu? Penelitian ini membuktikan bahwa dengan menerapkan metode Google Custom Search API, kita dapat membangun sistem pencarian layaknya seperti mesin pencari Google, hasil pengujian menunjukkan hasil pencarian yang ditampilkan sangat relevan dan rata-rata berada pada peringkat pertama. Keuntungan lainnya metode ini dilengkapi koreksi ejaan salah untuk menyempurnakan kata kunci sebenarnya.   Abstract Search system is an important application applied to an online information media, but since the presence of search engines like Google, people prefer to use this tool to find information. Because the search method used is proven to be reliable. Are we able to be like that? This research proves that by implementing the Google Custom Search API method, we can build a search system like Google's search engine, the test results show that the search results displayed are very relevant and on average are ranked first. Another advantage of this method is that it includes incorrect spelling corrections to perfect the actual keywords.

scholarly journals Undergraduate Medical Students’ Search for Health Information Online: Explanatory Cross-Sectional Study (Preprint)

2019 ◽  
Author(s):  
Teresa Loda ◽  
Rebecca Erschens ◽  
Florian Junne ◽  
Andreas Stengel ◽  
Stephan Zipfel ◽  
...  
Keyword(s):  
Medical Students ◽  
Health Information ◽  
Search Engine ◽  
Search Engines ◽  
Digital Health ◽  
Provocation Test ◽  
Undergraduate Medical Students ◽  
Future Health ◽  
Cross Sectional ◽  
Histamine Intolerance

BACKGROUND Previous research shows that being a “digital native” or growing up in a digital environment does not necessarily lead to increased digital competencies, such as digital health literacy or evaluation of webpage quality. OBJECTIVE This study showed how medical students searched for health information online, specifically the recommended testing for histamine intolerance, by comparing the use of various search engines (Google, Medisuch, and a website of the student’s choice) to find out more about search strategies in future health professionals. As Medisuch presents a qualitatively better search engine, we assumed that medical students using this search engine might find valid information faster on more reliable webpages, and might recommend the correct diagnostic steps for histamine intolerance to their patients more often than students using a generic search engine like Google. METHODS Medical students in their third year of study were asked to find the relevant diagnostic steps of histamine intolerance online. They were randomly assigned to use one search engine: Google, their personal choice, or Medisuch. Their process of seeking information online was video recorded. RESULTS In total, 140 medical students participated in this study. The total number of webpages found did not differ among the groups (<i>P</i>=.52). Students using Medisuch (<i>P</i>=.02) correctly identified the elimination diet as a relevant diagnostic step more frequently. The provocation test was reported by almost half of the students independent of the search engine used. In general, medical students commonly identified trustworthy webpages in all three groups (Google: 36/44, 82%; free choice: 31/36; 86%; and Medisuch: 35/45, 78%). CONCLUSIONS The results indicate that medical students were able to find trustworthy health-related information online independent of the search engine used. Medical students that are digital natives seem to have proper internet skills and a knowledge of how to use them. They entered specific medical terms (evidence-based diagnostic steps) or names of reliable webpages (DocCheck) in the search engines to gain correct information. However, it remains to be seen if this behavior can be called true “digital literacy”.

scholarly journals Using a customized search engine to address low health literacy: a program description

2014 ◽  
Vol 33 (2) ◽  
pp. 112 ◽  
Author(s):  
Eva Jurczyk
Keyword(s):  
Health Care ◽  
Information Retrieval ◽  
Health Information ◽  
Retrieval System ◽  
Information Source ◽  
Information Retrieval System ◽  
Online Information ◽  
Quality Health Care ◽  
Quality Health ◽  
Program Description

In the provision of health information, it is the structure as much as the content of an information source that can influence a patient's ability to understand and act upon medical guidance. Canada has a commitment to providing equal, quality health care to all citizens, but a barrier to this equality has emerged as health information has gone online. This paper discusses the online information retrieval system in a patient library in a Canadian hospital, the barrier that this system created in connecting patients with health information, and how resources were reorganized to more equitably meet the needs of patients. The example of one information retrieval system provides a new frame through which to evaluate the organization of electronic information in health care settings.

Speech Engines

2018 ◽  
Author(s):  
James Grimmelmann
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
The Internet ◽  
Internet Search ◽  
High Quality ◽  
New Approach ◽  
To Receive ◽  
Relevance Assessments

98 Minnesota Law Review 868 (2014)Academic and regulatory debates about Google are dominated by two opposing theories of what search engines are and how law should treat them. Some describe search engines as passive, neutral conduits for websites’ speech; others describe them as active, opinionated editors: speakers in their own right. The conduit and editor theories give dramatically different policy prescriptions in areas ranging from antitrust to copyright. But they both systematically discount search users’ agency, regarding users merely as passive audiences.A better theory is that search engines are not primarily conduits or editors, but advisors. They help users achieve their diverse and individualized information goals by sorting through the unimaginable scale and chaos of the Internet. Search users are active listeners, affirmatively seeking out the speech they wish to receive. Search engine law can help them by ensuring two things: access to high-quality search engines, and loyalty from those search engines.The advisor theory yields fresh insights into long-running disputes about Google. It suggests, for example, a new approach to deciding when Google should be liable for giving a website the “wrong” ranking. Users’ goals are too subjective for there to be an absolute standard of correct and incorrect rankings; different search engines necessarily assess relevance differently. But users are also entitled to complain when a search engine deliberately misleads them about its own relevance assessments. The result is a sensible, workable compromise between the conduit and editor theories.

scholarly journals HEALTH INFORMATION SEARCH ENGINE THE NEW TOOLS OF HEALTH LITERACY

2017 ◽  
Vol 1 (4) ◽  
pp. 107-107
Author(s):  
Zahra Ebnehoseini
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Search Engine ◽  
Information Search ◽  
Search Engines ◽  
Unique Feature ◽  
Data Retrieval ◽  
Access To Health ◽  
Comparison Table ◽  
Health Information Sources

Introduction: Access to Health Information is very essential for promoting health literacy, self-care, shared decision making, medication adherence. The Internet is one of the main resources of health information. Many studies showed the main gateway for seeking health information was search engines. But finding qualified health information is a challenge. Therefore, this study aimed to introduce top health Searches engines and review their features. Methods: According to the literature review, 10 health Searches engines were selected. Common features of each search engine, such as the ability to create profiles, the type of health information provided, target users, health information sources contained in the search engine, and the unique feature and other features, were reviewed and the comparison table was provided. A common search scenario was also tested on all search engines and the result of the data retrieval was reported by the search engine. Results: health Searches engine like that PubMed، Med scape، McGraw-Hill Medical، iMediSearch، medicin.net, Hardin.Md، Health line ، EMedicine، Merck and Ovid were chosen and reported. Conclusion: The results of this study can help users such as patient to choose a valid health searches engine and also help them to find health searches engine appropriate for their health problem and know what features in health website is important.

scholarly journals Undergraduate Medical Students’ Search for Health Information Online: Explanatory Cross-Sectional Study

10.2196/16279 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e16279 ◽  
Author(s):  
Teresa Loda ◽  
Rebecca Erschens ◽  
Florian Junne ◽  
Andreas Stengel ◽  
Stephan Zipfel ◽  
...  
Keyword(s):  
Medical Students ◽  
Health Information ◽  
Search Engine ◽  
Search Engines ◽  
Digital Health ◽  
Provocation Test ◽  
Undergraduate Medical Students ◽  
Future Health ◽  
Cross Sectional ◽  
Histamine Intolerance

Background Previous research shows that being a “digital native” or growing up in a digital environment does not necessarily lead to increased digital competencies, such as digital health literacy or evaluation of webpage quality. Objective This study showed how medical students searched for health information online, specifically the recommended testing for histamine intolerance, by comparing the use of various search engines (Google, Medisuch, and a website of the student’s choice) to find out more about search strategies in future health professionals. As Medisuch presents a qualitatively better search engine, we assumed that medical students using this search engine might find valid information faster on more reliable webpages, and might recommend the correct diagnostic steps for histamine intolerance to their patients more often than students using a generic search engine like Google. Methods Medical students in their third year of study were asked to find the relevant diagnostic steps of histamine intolerance online. They were randomly assigned to use one search engine: Google, their personal choice, or Medisuch. Their process of seeking information online was video recorded. Results In total, 140 medical students participated in this study. The total number of webpages found did not differ among the groups (P=.52). Students using Medisuch (P=.02) correctly identified the elimination diet as a relevant diagnostic step more frequently. The provocation test was reported by almost half of the students independent of the search engine used. In general, medical students commonly identified trustworthy webpages in all three groups (Google: 36/44, 82%; free choice: 31/36; 86%; and Medisuch: 35/45, 78%). Conclusions The results indicate that medical students were able to find trustworthy health-related information online independent of the search engine used. Medical students that are digital natives seem to have proper internet skills and a knowledge of how to use them. They entered specific medical terms (evidence-based diagnostic steps) or names of reliable webpages (DocCheck) in the search engines to gain correct information. However, it remains to be seen if this behavior can be called true “digital literacy”.

Search Engine as a mediating technology of organization

2019 ◽  
pp. 411-429
Author(s):  
Renée Ridgway
Keyword(s):  
Machine Learning ◽  
Search Engine ◽  
Search Engines ◽  
Relational Databases ◽  
Machine Learning Algorithms ◽  
Online Information ◽  
Advertising Agencies ◽  
User Data ◽  
History Of ◽  
Personalized Advertisement

Search engines have become the technological and organizational means to navigate, filter, and rank online information for users. During the seventeenth to nineteenth centuries in Europe, the ‘pre-history’ of search engines were the ‘bureau d’adresse’ or ‘address office’ that provided information and services to clients as they gathered data. Registers, censuses, and archives eventually shifted to relational databases owned by commercial platforms, advertising agencies cum search engines that provide non-neutral answers in exchange for user data. With ‘cyberorganization’, personalized advertisement, machine-learning algorithms, and ‘surveillance capitalism’ organize the user through their ‘habit’ of search. However, there are alternatives such as the p2p search engine YaCy and anonymity browsing with Tor.

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