scholarly journals A Case of Intractable Left Forearm Congenital Arteriovenous Fistula Ending with Amputation: Importance of New Medical Information Obtained via the Internet

2014 ◽  
Vol 9 (1) ◽  
pp. 37-39
Author(s):  
Jiajia Liu ◽  
Yasuyuki Shimada
2021 ◽  
Vol 27 (3) ◽  
pp. 146045822110247
Author(s):  
Hanife Rexhepi ◽  
Isto Huvila ◽  
Rose-Mharie Åhlfeldt ◽  
Åsa Cajander

Patients’ online access to their EHR together with the rapid proliferation of medical information on the Internet has changed how patients use information to learn about their health. Patients’ tendency to turn to the Internet to find information about their health and care is well-documented. However, little is known about patients’ information seeking behavior when using online EHRs. By using information horizons as an analytical tool this paper aims to investigate the information behavior of cancer patients who have chosen to view their EHRs (readers) and to those who have not made that option (non-readers). Thirty interviews were conducted with patients. Based on information horizons, it seems that non-reading is associated with living in a narrower information world in comparison to readers. The findings do not suggest that the smallness would be a result of active avoidance of information, or that it would be counterproductive for the patients. The findings suggest, however, that EHRs would benefit from comprehensive linking to authoritative health information sources to help users to understand their contents. In parallel, healthcare professionals should be more aware of their personal role as a key source of health information to those who choose not to read their EHRs.


2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.


1999 ◽  
Vol 3 (6) ◽  
pp. A56
Author(s):  
S. Aymé ◽  
D. Oziel ◽  
B. Urbero ◽  
E. Lecouturier ◽  
F. Reboul-Salze ◽  
...  

2021 ◽  
Author(s):  
Jianchen Luo ◽  
Jing Ma ◽  
Liangliang Xu ◽  
Lian Li ◽  
Ming Zhang ◽  
...  

BACKGROUND The Internet has gradually become the most important way for people to search for information. Increasing number of people searched for relevant information or even treatment plans on the Internet when they get health problem. The reliability of the medical information provided online remains to be proved. Wikipedia and Baidu Encyclopedia are the most widely used search engines in English and Chinese, respectively. The quality of the medical information they provide needs to be assessed. OBJECTIVE This study aimed to evaluate the quality and timeliness of medical information related with digestive system malignancy retrieved from Wikipedia and Baidu Encyclopedia. Comparison was made between the 2 encyclopedias. We conducted a 3-year follow-up to find out if the quality and timeliness of articles improved. METHODS We conducted a search based on International Statistical Classification of Diseases and Related Health Problems 10th Revision Version 2016 codes in Wikipedia and Baidu Encyclopedia, and evaluated articles related to digestive system malignancy by using the DISCERN instrument. We calculated the update interval of the webpages to evaluate the update timeliness of these websites. RESULTS In 2017 and 2020, we searched out a total of 50 and 52 articles from Baidu Encyclopedia, with 2 articles increased and no article missed. 30 and 32 articles were found in Wikipedia, with 1 article increased and no article missed. According to the scores evaluated by DISCERN instrument. In both 2017 and 2020, Wikipedia scored higher than Baidu Encyclopedia in section1 and section2, and it's statistically significant. Wikipedia scored higher than Baidu Encyclopedia in Section3, but it's not statistically significant. The total score of Wikipedia was higher than Baidu Encyclopedia, and the difference was statistically significant. The update interval of Wikipedia is shorter than that of Baidu Encyclopedia, with better timeliness and statistical significance. CONCLUSIONS The quality and timeliness of digestive system malignancy relative articles on Wikipedia are better than those on Baidu Encyclopedia. Both Baidu Encyclopedia and Wikipedia articles have improved in quality over the past three years. However, the treatment information obtained from the Internet still can’t guarantee its comprehensiveness or reliability. Patients should consult a medical professional directly.


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