OBJECTIVES: This study analyzed the health technology trends and sentiments of users using Twitter data in an attempt to examine the public's opinions and identify their needs. METHODS: Twitter data related to health technology, from January 2010 to October 2016, were collected. An ontology related to health technology was developed. Frequently occurring keywords were analyzed and visualized with the word cloud technique. The keywords were then reclassified and analyzed using the developed ontology and sentiment dictionary. Python and the R program were used for crawling, natural language processing, and sentiment analysis. RESULTS: In the developed ontology, the keywords are divided into ‘health technology‘ and ‘health information‘. Under health technology, there are are six subcategories, namely, health technology, wearable technology, biotechnology, mobile health, medical technology, and telemedicine. Under health information, there are four subcategories, namely, health information, privacy, clinical informatics, and consumer health informatics. The number of tweets about health technology has consistently increased since 2010; the number of posts in 2014 was double that in 2010, which was about 150 thousand posts. Posts about mHealth accounted for the majority, and the dominant words were ‘care‘, ‘new‘, ‘mental‘, and ‘fitness‘. Sentiment analysis by subcategory showed that most of the posts in nearly all subcategories had a positive tone with a positive score. CONCLUSIONS: Interests in mHealth have risen recently, and consequently, posts about mHealth were the most frequent. Examining social media users' responses to new health technology can be a useful method to understand the trends in rapidly evolving fields.
Biomedical Technology ; Biotechnology ; Boidae ; Data Mining ; Informatics ; Medical Informatics ; Methods ; Natural Language Processing ; Privacy ; Public Opinion ; Social Media ; Telemedicine

OBJECTIVES: This study presents the current status of nursing informatics education, the content covered in nursing informatics courses, the faculty efficacy, and the barriers to and additional supports for teaching nursing informatics in Korea. METHODS: A set of questionnaires consisting of an 18-item questionnaire for nursing informatics education, a 6-item questionnaire for faculty efficacy, and 2 open-ended questions for barriers and additional supports were sent to 204 nursing schools via email and the postal service. Nursing schools offering nursing informatics were further asked to send their syllabuses. The subjects taught were analyzed using nursing informatics competency categories and other responses were tailed using descriptive statistics. RESULTS: A total of 72 schools (35.3%) responded to the survey, of which 38 reported that they offered nursing informatics courses in their undergraduate nursing programs. Nursing informatics courses at 11 schools were taught by a professor with a degree majoring in nursing informatics. Computer technology was the most frequently taught subject (27 schools), followed by information systems used for practice (25 schools). The faculty efficacy was 3.76 ± 0.86 (out of 5). The most frequently reported barrier to teaching nursing informatics (n = 9) was lack of awareness of the importance of nursing informatics. Training and educational opportunities was the most requested additional support. CONCLUSIONS: Nursing informatics education has increased during the last decade in Korea. However, the proportions of faculty with degrees in nursing informatics and number of schools offering nursing informatics courses have not increased much. Thus, a greater focus is needed on training faculty and developing the courses.
Competency-Based Education ; Education* ; Electronic Mail ; Humans ; Information Systems ; Korea* ; Nursing Education Research ; Nursing Informatics* ; Nursing* ; Postal Service ; Schools, Nursing ; Tail

OBJECTIVES: This study presents the current status of nursing informatics education, the content covered in nursing informatics courses, the faculty efficacy, and the barriers to and additional supports for teaching nursing informatics in Korea. METHODS: A set of questionnaires consisting of an 18-item questionnaire for nursing informatics education, a 6-item questionnaire for faculty efficacy, and 2 open-ended questions for barriers and additional supports were sent to 204 nursing schools via email and the postal service. Nursing schools offering nursing informatics were further asked to send their syllabuses. The subjects taught were analyzed using nursing informatics competency categories and other responses were tailed using descriptive statistics. RESULTS: A total of 72 schools (35.3%) responded to the survey, of which 38 reported that they offered nursing informatics courses in their undergraduate nursing programs. Nursing informatics courses at 11 schools were taught by a professor with a degree majoring in nursing informatics. Computer technology was the most frequently taught subject (27 schools), followed by information systems used for practice (25 schools). The faculty efficacy was 3.76 ± 0.86 (out of 5). The most frequently reported barrier to teaching nursing informatics (n = 9) was lack of awareness of the importance of nursing informatics. Training and educational opportunities was the most requested additional support. CONCLUSIONS: Nursing informatics education has increased during the last decade in Korea. However, the proportions of faculty with degrees in nursing informatics and number of schools offering nursing informatics courses have not increased much. Thus, a greater focus is needed on training faculty and developing the courses.
Competency-Based Education ; Education* ; Electronic Mail ; Humans ; Information Systems ; Korea* ; Nursing Education Research ; Nursing Informatics* ; Nursing* ; Postal Service ; Schools, Nursing ; Tail