Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System

Chen, Donghua; Zhang, Runtong; Liu, Kecheng; Hou, Lei

doi:10.3390/ijerph15061291

Cited by 14 publications

(11 citation statements)

References 35 publications

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“…Through these online communities, users might express emotions and provide tips on how they cope with stress and burnout resulting from prolonged online activity. For example, preschool teachers, using online learning communities, improved their knowledge on mental health issues by sharing and discussing experiences related to mental health with others in these online spaces ( 50 ).…”

Section: Recommendationsmentioning

confidence: 99%

Coping With Stress and Burnout Associated With Telecommunication and Online Learning

Mheidly

Fares

2020

Front. Public Health

235

157

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The COVID-19 pandemic substantially impacted the field of telecommunication. It increased the use of media applications that enable teleconferencing, telecommuting, online learning, and social relations. Prolonged time facing screens, tablets, and smart devices increases stress and anxiety. Mental health stressors associated with telecommunication can add to other stressors related to quarantine time and lockdown to eventually lead to exhaustion and burnout. In this review, the effects of the COVID-19 pandemic on communication and education are explored. In addition, the relationship between prolonged exposure to digital devices and mental health is studied. Finally, coping strategies are offered to help relieve the tele-burdens of pandemics.

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Section: Recommendationsmentioning

confidence: 99%

Coping With Stress and Burnout Associated With Telecommunication and Online Learning

Mheidly

Fares

2020

Front. Public Health

235

157

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“…Research uses include: processing scientific literature, 18 ,19 clinical notes, 20 , 21 drug information, 22 , 23 and social media. 24 , 25 Text processing using the UMLS is generally performed to improve information retrieval, discover new knowledge, test hypotheses, and evaluate text processing methods to improve performance. In production applications, the UMLS is used to map local terms to standard terminologies, annotate records with standard terminology to improve information retrieval, process text for automated clinical coding, improve clinical documentation, and interpret patient questions.…”

Section: Discussionmentioning

confidence: 99%

UMLS users and uses: a current overview

Amos

Anderson

Brody

et al. 2020

Journal of the American Medical Informatics Association

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The US National Library of Medicine regularly collects summary data on direct use of Unified Medical Language System (UMLS) resources. The summary data sources include UMLS user registration data, required annual reports submitted by registered users, and statistics on downloads and application programming interface calls. In 2019, the National Library of Medicine analyzed the summary data on 2018 UMLS use. The library also conducted a scoping review of the literature to provide additional intelligence about the research uses of UMLS as input to a planned 2020 review of UMLS production methods and priorities. 5043 direct users of UMLS data and tools downloaded 4402 copies of the UMLS resources and issued 66 130 951 UMLS application programming interface requests in 2018. The annual reports and the scoping review results agree that the primary UMLS uses are to process and interpret text and facilitate mapping or linking between terminologies. These uses align with the original stated purpose of the UMLS.

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“…Through the Internet, online health communities can solve or alleviate medical resource shortages and doctor-patient disputes to a certain extent [1][2][3]. Communications between doctors and patients posted on online health communities contain a variety of valuable information that can help establish knowledge-based online support for online patients [4]. Most online health communities are categorized by two main functions: information search and social support [5,6].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Effect of Market Conditions on Price Premiums in the Online Health Community

Zhang

Han

2020

IJERPH

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Online health communities allow doctors to fully use existing medical resources to serve remote patients. They broaden and diversify avenues of interaction between doctors and patients using Internet technology, which have built an online medical consultation market. In this study, the theory of supply and demand was adopted to explore how market conditions of online doctor resources impact price premiums of doctors' online service. Then, we investigated the effect of the stigmatized diseases. We used resource supply and resource concentration to characterize the market conditions of online doctor resources and a dummy variable to categorize whether the disease is stigmatized or ordinary. After an empirical study of the dataset (including 68,945 doctors), the results indicate that: (1) the supply of online doctor resources has a significant and negative influence on price premiums; (2) compared with ordinary diseases, doctors treating stigmatized diseases can charge higher price premiums; (3) stigmatized diseases positively moderate the relationship between resource supply and price premiums; and (4) the concentration of online doctor resources has no significant influence on price premiums. Our research demonstrates that both the market conditions of online doctor resources and stigmatized diseases can impact price premiums in the online medical consultation market. The findings provide some new and insightful implications for theory and practice. returns for doctors, decreasing health disparities for society as a whole, in addition to providing other benefits [5,[9][10][11]. Currently, many online health communities provide similar online services for doctors and patients, such as Good Doctor and Chunyu Doctor in China, and Quickrxrefill, MDproactive, and Livehealthonline in the USA.Compared with doctors in physical hospitals, in online health communities, doctors have more options to choose service provision at their convenience [12]. Online medical consultation, as one of the most popular and useful service functions, is provided for patients who need professional medical diagnosis and do not visit hospitals [13]. Doctors in online health communities have the pricing power for the online medical consultation service [12]; they can set price for the online medical consultation service based on their capabilities and circumstances [14,15]. Many studies have examined factors affecting service price and returns [11,12,16], such as doctor reputation, professional title, and hospital rank. Recent studies have mainly focused on the relationships between service prices and doctors' personal characteristics, which is necessary but insufficient. Online health communities have built an online medical consultation marketplace for doctors and patients [17,18]. In this online market, doctors with strong medical skills can obtain high service fees above the average price, to charge price premiums and receive higher returns [19,20]. In our study, the research context, Good Doctor (Haodf.com), is one of the leading and typica...

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Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System

Cited by 14 publications

References 35 publications

Coping With Stress and Burnout Associated With Telecommunication and Online Learning

Coping With Stress and Burnout Associated With Telecommunication and Online Learning

UMLS users and uses: a current overview

Exploring the Effect of Market Conditions on Price Premiums in the Online Health Community

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