Bibliometrics, text mining, and vizualization analyses to support verification and specification of PICO.
(2015) Global Efforts in Knowledge Transfer: HTA to Health Policy and Practice- Abstract
- We aim to obtain a fast overview of the HTA question and to refine-specify the PICO for information retrieval, using bibliometrics, text mining, and vizualization tools. The PICO question is a well-established format within the HTA process. Depending on the HTA question the PICO can be difficult to verify and limit. To support the HTA-project groups and the informaton specialistst to establish the best PICO, we use bibliometrics, text mining, and vizualization analyses to present a fast, predictable and more objective view of the information landscape
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/391f8578-e8b2-47ad-8f6e-76193cad7a52
- author
- Tilgmann, Carola
LU
; Bank, Matthias LU
; Hultman Özek, Yvonne LU and Petersson, Ingemar LU
- organization
- publishing date
- 2015
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- HTA, Bibliometrics, visualization, textmining
- conference name
- Global Efforts in Knowledge Transfer: HTA to Health Policy and Practice
- conference location
- Oslo, Norway
- conference dates
- 2015-06-15 - 2015-06-17
- language
- English
- LU publication?
- yes
- id
- 391f8578-e8b2-47ad-8f6e-76193cad7a52
- date added to LUP
- 2016-04-26 14:56:59
- date last changed
- 2025-04-04 13:59:34
@misc{391f8578-e8b2-47ad-8f6e-76193cad7a52, abstract = {{We aim to obtain a fast overview of the HTA question and to refine-specify the PICO for information retrieval, using bibliometrics, text mining, and vizualization tools. The PICO question is a well-established format within the HTA process. Depending on the HTA question the PICO can be difficult to verify and limit. To support the HTA-project groups and the informaton specialistst to establish the best PICO, we use bibliometrics, text mining, and vizualization analyses to present a fast, predictable and more objective view of the information landscape}}, author = {{Tilgmann, Carola and Bank, Matthias and Hultman Özek, Yvonne and Petersson, Ingemar}}, keywords = {{HTA; Bibliometrics; visualization; textmining}}, language = {{eng}}, title = {{Bibliometrics, text mining, and vizualization analyses to support verification and specification of PICO.}}, url = {{https://lup.lub.lu.se/search/files/7517284/HTAi_2015_Landscape_ePoster_Template_CT_poster_306_Oslo_.pdf}}, year = {{2015}}, }