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Analysis of a Blog for Gastrointestinal Disease in the View Point of the Big Data: A Single Institutional Study

빅데이터 시각에서 본 단일기관의 위장관 질환 블로그 분석

  • Choi, Jungran (Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Park, Hyojin (Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Lee, Choong-Hyun (Public Relations Team, Gangnam Severance Hospital, Yonsei University College of Medicine)
  • 최정란 (연세대학교 의과대학 강남세브란스병원 내과학교실) ;
  • 박효진 (연세대학교 의과대학 강남세브란스병원 내과학교실) ;
  • 이충현 (연세대학교 의과대학 강남세브란스병원 홍보팀)
  • Received : 2014.02.04
  • Accepted : 2014.04.25
  • Published : 2014.06.25

Abstract

Background/Aims: With the enormous increase in the amount of data, the concept of big data has emerged and this allows us to gain new insights and appreciate its value. However, analysis related to gastrointestinal diseases in the viewpoint of the big data has not been performed yet in Korea. This study analyzed the data of the blog's visitors as a set of big data to investigate questions they did not mention in the clinical situation. Methods: We analyzed the blog of a professor whose subspecialty is gastroenterology at Gangnam Severance Hospital. We assessed the changes in the number of visitors, access path of visitors, and the queries from January 2011 to December 2013. Results: A total of 50,084 visitors gained accessed to the blog. An average of 1,535.3 people visited the blog per month and 49.5 people per day. The number of visitors and the cumulative number of registered posts showed a positive correlation. The most utilized access path of visitors to the website was blog.iseverance.com (42.2%), followed by Google (32.8%) and Daum (6.6%). The most searched term by the visitors in the blog was intestinal metaplasia (16.6%), followed by dizziness (8.3%) and gastric submucosal tumor (7.0%). Conclusions: Personal blog can function as a communication route for patients with digestive diseases. The most frequently searched word necessitating explanation and education was 'intestinal metaplasia'. Identifying and analyzing even unstructured data as a set of big data is expected to provide meaningful information.

목적: 최근 등장한 빅데이터의 시각에서 위장관질환 개인 블로그의 방문자들을 데이터화하여 경향을 분석하고 임상에서는 알 수 없었던 환자들의 실제 의문 사항들을 알아보고자 하였다. 대상 및 방법: 연세대학교 강남세브란스병원 소화기내과 교수의 개인 블로그에 2011년 1월 1일부터 2013년 12월 9일까지 접속한 방문자의 수, 방문자의 유입 경로, 블로그에서 검색한 단어를 분석하였다. 블로그의 게시글은 총 84개로 프로필 이외에 언론보도, 내 마음의 행로, 소화기질환, 고객경험으로 분류되어 있었다. 결과: 총 블로그의 방문자 수는 50,084명으로 월 평균 1,535명이 방문하였고 하루 평균은 50명이 방문하였으며, 등록된 게시물의 누적수와 방문자수는 양의 상관 관계를 보였다. 방문자들의 유입 경로로는 i세브란스 베스트 닥터(http://blog.iseverance.com)가 가장 많았고(42.2%), 그 다음으로는 구글이었다(32.8%). 블로그 내에서 가장 많이 검색된 검색어는 장상피화생이었으며(16.6%), 다음으로 어지러움 증세(8.3%), 위점막하종양(7.0%) 순이었다. 결론: 블로그의 방문 경로와 검색어를 분석한 결과 개인 블로그는 소화기질환 환자들에게 의사 소통의 장으로서의 기능을 하며, 가장 많이 검색되었던 장상피화생에 대한 설명과 교육이 필요하리라 판단된다. 방대한 양의 비정형적인 데이터라 할지라도 빅데이터의 관점에서 데이터의 경향을 파악하고 분석하는 것이 의료와 환자 간의 소통에 유용한 자료를 제공하리라 기대된다.

Keywords

References

  1. What is big data? Bringing big data to the enterprise. [Internet]. Armonk (NY): IBM [cited 2014 Jan 10]. Available from: http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html
  2. Guideline for analysis of big data. [Internet]. Seoul: National Information Society Agency; 2013 Jan 25 [cited 2014 Jan 10]. Available from: http://www.nia.or.kr/bbs/board_view.asp? BoardID=201111281321074458&id=10343&Order=010200&search_target=&keyword=&Flag=010000&nowpage=2&objpage=0
  3. Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L. Detecting influenza epidemics using search engine query data. Nature 2009;457:1012-1014. https://doi.org/10.1038/nature07634
  4. Microsoft expands presence in healthcare IT industry with acquisition of health intelligence software Azyxxi. [Internet]. Redmond (WA): Microsoft Press; 2006 Jul 26 [cited 2014 Jan 10]. Available from: http://www.microsoft.com/en-us/news/press/2006/jul06/07-26azyxxiacquisitionpr.aspx
  5. Won HH, Myung W, Song GY, et al. Predicting national suicide numbers with social media data. PLoS One 2013;8:e61809. https://doi.org/10.1371/journal.pone.0061809
  6. An analysis of data for a better future-big data case study in the developed nation. [Internet]. Seoul: National Information Society Agency; 2013 Apr 16 [cited 2014 Jan 10]. Available from: http://www.nia.or.kr/bbs/board_view.asp? BoardID=201111281321074458&id=10764&Order=010200&search_target=&keyword=&Flag=010000&nowpage=2&objpage=0
  7. Weblogs: a history and perspective. [Internet]. San Francisco (CA): Rebecca's Pocket; 2000 Sep 7 [cited 2014 Jan 10]. Available from: http://www.rebeccablood.net/essays/weblog_history.html
  8. Mutum D, Wang Q. Consumer generated advertising in blogs. In: Eastin MS, Daugherty T, Neal M, eds. Handbook of research on digital media and advertising: user generated content consumption. Hershey: Information Science Reference, 2010.
  9. Gaudeul A, Peroni C. Reciprocal attention and norm of reciprocity in blogging networks. Jena economic research papers. 2010-020. Jena: Jena University, 2010.
  10. Ranking in sites of general hospital. [Internet]. Seoul: MediaChannel [cited 2014 Jan 10]. Available from: http://www.rankey.com/rank/rank_site_cate.php?cat1_id=1&cat2_id=24&cat3_id= 253
  11. Harsha AK, Schmitt JE, Stavropoulos SW. Know your market: use of online query tools to quantify trends in patient informationseeking behavior for varicose vein treatment. J Vasc Interv Radiol 2014;25:53-57. https://doi.org/10.1016/j.jvir.2013.09.015
  12. Big data analytics. [Internet]. Renton (WA): TDWI; 2011 Sep 14 [cited 2014 Jan 10]. Available from: http://tdwi.org/research/2011/12/sas_best-practices-report-q4-big-data-analytics.aspx?tc=page0
  13. In next year the big data bubble will fall. [Internet]. Seoul: DigitalTimes; 2013 Oct 20 [cited 2014 Jan 10]. Available from: http://www.dt.co.kr/contents.html?article_no=2013102102010860718002

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