Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain

Wendeline Oude Nijeweme-d'Hollosy; Lex Stefan van Velsen; Ilse C.S. Swinkels; Hermanus J. Hermens

doi:10.13140/RG.2.1.3821.0003

Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain

Wendeline Oude Nijeweme-d'Hollosy, Lex Stefan van Velsen, Ilse C.S. Swinkels, Hermanus J. Hermens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Decision support technology has the potential to change the way professionals treat patients for the better. We questioned thirty-three healthcare professionals on their view about the usage of eHealth technology within their daily practice, and areas in which decision support can play a role, to lower healthcare professionals’ workload. Qualitative analysis resulted in an overview of desired eHealth functionalities and promising areas for decision support technology within primary care. Based on these results, we discuss future work in which we will focus on the development, and evaluation of a clinical decision support system (CDSS) for advising patients with physical complaints on whether they should see a healthcare professional or can perform self-care. Next, the CDSS should advise healthcare professionals in selecting relevant training exercises for a specific patient. In first instance, this CDSS is focused on diagnostic triaging and selection of training exercises for patients with nonspecific lower back pain.

Original language	Undefined
Title of host publication	17th International Symposium on Health Information Management Research (ISHIMR 2015)
Place of Publication	York, England
Publisher	York St. John University
Pages	49-59
Number of pages	11
ISBN (Print)	2048-4712
DOIs	https://doi.org/10.13140/RG.2.1.3821.0003
Publication status	Published - Jun 2015
Event	17th International Symposium on Health Information Management Research, ISHIMR 2015 - York, United Kingdom Duration: 24 Jun 2015 → 26 Jun 2015 Conference number: 17

Publication series

Name
Publisher	York St. John University
Volume	17
ISSN (Print)	2048-4712

Conference

Conference	17th International Symposium on Health Information Management Research, ISHIMR 2015
Abbreviated title	ISHIMR
Country/Territory	United Kingdom
City	York
Period	24/06/15 → 26/06/15

Keywords

Primary Care
lower back pain (LBP)
EWI-26397
METIS-314992
IR-98196
Clinical Decision Support System (CDSS)
EHealth

Access to Document

10.13140/RG.2.1.3821.0003

http://eprints.eemcs.utwente.nl/secure2/26397/01/Paper_44.pdf

Cite this

Oude Nijeweme-d'Hollosy, W., van Velsen, L. S., Swinkels, I. C. S., & Hermens, H. J. (2015). Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain. In 17th International Symposium on Health Information Management Research (ISHIMR 2015) (pp. 49-59). York St. John University. https://doi.org/10.13140/RG.2.1.3821.0003

Oude Nijeweme-d'Hollosy, Wendeline ; van Velsen, Lex Stefan ; Swinkels, Ilse C.S. et al. / Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain. 17th International Symposium on Health Information Management Research (ISHIMR 2015). York, England : York St. John University, 2015. pp. 49-59

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abstract = "Decision support technology has the potential to change the way professionals treat patients for the better. We questioned thirty-three healthcare professionals on their view about the usage of eHealth technology within their daily practice, and areas in which decision support can play a role, to lower healthcare professionals{\textquoteright} workload. Qualitative analysis resulted in an overview of desired eHealth functionalities and promising areas for decision support technology within primary care. Based on these results, we discuss future work in which we will focus on the development, and evaluation of a clinical decision support system (CDSS) for advising patients with physical complaints on whether they should see a healthcare professional or can perform self-care. Next, the CDSS should advise healthcare professionals in selecting relevant training exercises for a specific patient. In first instance, this CDSS is focused on diagnostic triaging and selection of training exercises for patients with nonspecific lower back pain.",

keywords = "Primary Care, lower back pain (LBP), EWI-26397, METIS-314992, IR-98196, Clinical Decision Support System (CDSS), EHealth",

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Oude Nijeweme-d'Hollosy, W , van Velsen, LS, Swinkels, ICS & Hermens, HJ 2015, Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain. in 17th International Symposium on Health Information Management Research (ISHIMR 2015). York St. John University, York, England, pp. 49-59, 17th International Symposium on Health Information Management Research, ISHIMR 2015, York, United Kingdom, 24/06/15. https://doi.org/10.13140/RG.2.1.3821.0003

Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain. / Oude Nijeweme-d'Hollosy, Wendeline ; van Velsen, Lex Stefan; Swinkels, Ilse C.S. et al.
17th International Symposium on Health Information Management Research (ISHIMR 2015). York, England: York St. John University, 2015. p. 49-59.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Oude Nijeweme-d'Hollosy W , van Velsen LS, Swinkels ICS, Hermens HJ. Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain. In 17th International Symposium on Health Information Management Research (ISHIMR 2015). York, England: York St. John University. 2015. p. 49-59 doi: 10.13140/RG.2.1.3821.0003