Abstract
In clinical practice, physicians often need to take decisions based both on previous experience and medical evidence. Such evidence is usually available in the form of clinical practice guidelines, which elaborate and summarize the knowledge contained in multiple documents. During clinical practice the synthetic format of medical guidelines is an advantage. However, when guidelines are used for educational purposes or when a clinician wants to gain deeper insight into a recommendation, it could be useful to examine all the guideline references relevant to a specific question. In this work we explored IBM Watson services available on the Bluemix cloud to automatically retrieve information from the wide corpus of documents referenced in a recent Italian compendium on emergency neurology. We integrated this functionality in a web application that combines multiple Watson services to index and query the referenced corpus. To evaluate the proposed approach we use the original guideline to check whether the retrieved text matches the actions mentioned in the recommendations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chong, H.T., Weightman, M.J., Sirichai, P., Jones, A.: How do junior medical officers use online information resources? A survey. BMC Med. Educ. 16, 120 (2016)
Strzalkowski, T., Harabagiu, S.: Advances in Open Domain Question Answering. Springer Science & Business Media, Heidelberg (2006)
Ferrucci, D.A.: Introduction to “This is Watson”. IBM J. Res. Dev. 56, 1:1–1:15 (2012)
CLINIcal Question Answering System. http://www.isical.ac.in/~zahid_t/Cliniqa/
Cairns, B.L., Nielsen, R.D., Masanz, J.J., Martin, J.H., Palmer, M.S., Ward, W.H., Savova, G.K.: The MiPACQ clinical question answering system. In: AMIA Annual Symposium Proceeding, vol. 2011, pp. 171–180 (2011)
Lally, A., Bachi, S., Barborak, M.A., Buchanan, D.W., Chu-Carroll, J., Ferrucci, D.A., Glass, M.R., Kalyanpur, A., Mueller, E.T., Murdock, J.W., et al.: WatsonPaths: scenario-based question answering and inference over unstructured information. IBM Research, Yorktown Heights (2014)
Consoli, D., Sterzi, R., Micieli, G.: La neurologia dell’emergenza-urgenza. Algoritmi clinici per il neurologo che opera in Pronto Soccorso e nei dipartimenti di emergenza. Il Pensiero Scientifico (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Salvi, E. et al. (2017). Exploring IBM Watson to Extract Meaningful Information from the List of References of a Clinical Practice Guideline. In: ten Teije, A., Popow, C., Holmes, J., Sacchi, L. (eds) Artificial Intelligence in Medicine. AIME 2017. Lecture Notes in Computer Science(), vol 10259. Springer, Cham. https://doi.org/10.1007/978-3-319-59758-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-59758-4_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59757-7
Online ISBN: 978-3-319-59758-4
eBook Packages: Computer ScienceComputer Science (R0)