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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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 languageUndefined
Title of host publication17th International Symposium on Health Information Management Research (ISHIMR 2015)
Place of PublicationYork, England
PublisherYork St. John University
Pages49-59
Number of pages11
ISBN (Print)2048-4712
DOIs
Publication statusPublished - Jun 2015
Event17th International Symposium on Health Information Management Research, ISHIMR 2015 - York, United Kingdom
Duration: 24 Jun 201526 Jun 2015
Conference number: 17

Publication series

Name
PublisherYork St. John University
Volume17
ISSN (Print)2048-4712

Conference

Conference17th International Symposium on Health Information Management Research, ISHIMR 2015
Abbreviated titleISHIMR
CountryUnited Kingdom
CityYork
Period24/06/1526/06/15

Keywords

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

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, England: 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. ; Hermens, Hermanus J. / 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
@inproceedings{d4e122e41c7a4888b47616a3fe36a805,
title = "Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain",
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.",
keywords = "Primary Care, lower back pain (LBP), EWI-26397, METIS-314992, IR-98196, Clinical Decision Support System (CDSS), EHealth",
author = "{Oude Nijeweme-d'Hollosy}, Wendeline and {van Velsen}, {Lex Stefan} and Swinkels, {Ilse C.S.} and Hermens, {Hermanus J.}",
note = "eemcs-eprint-26397",
year = "2015",
month = "6",
doi = "10.13140/RG.2.1.3821.0003",
language = "Undefined",
isbn = "2048-4712",
publisher = "York St. John University",
pages = "49--59",
booktitle = "17th International Symposium on Health Information Management Research (ISHIMR 2015)",

}

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.; Hermens, Hermanus J.

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 proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Clinical decision support systems for primary care: the identification of promising application areas and an initial design of a CDSS for lower back pain

AU - Oude Nijeweme-d'Hollosy, Wendeline

AU - van Velsen, Lex Stefan

AU - Swinkels, Ilse C.S.

AU - Hermens, Hermanus J.

N1 - eemcs-eprint-26397

PY - 2015/6

Y1 - 2015/6

N2 - 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.

AB - 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.

KW - Primary Care

KW - lower back pain (LBP)

KW - EWI-26397

KW - METIS-314992

KW - IR-98196

KW - Clinical Decision Support System (CDSS)

KW - EHealth

U2 - 10.13140/RG.2.1.3821.0003

DO - 10.13140/RG.2.1.3821.0003

M3 - Conference contribution

SN - 2048-4712

SP - 49

EP - 59

BT - 17th International Symposium on Health Information Management Research (ISHIMR 2015)

PB - York St. John University

CY - York, England

ER -