Abstract
Support for the development of responsible autonomy as opposite to management that is based on direct control is found to be by far more effective approach in healthcare management, especially when it concerns physicians as the most influential group of health professionals. It is therefore important to obtain a process-oriented knowledge system where physicians would be able to autonomously answer questions which are outside the scope of pre-made direct control reports. However, the ad-hoc data querying process is slow and error-prone due to inability of health professionals to access data directly without involving IT experts. The problem lies in the complexity of means used to query data. We propose a new natural language- and semistar ontology-based ad-hoc data querying approach which reduces the steep learning curve required to be able to query data. The proposed approach would significantly decrease the time needed to master the ad-hoc data querying thus allowing health professionals an independent exploration of the data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Friedman, A.: Responsible autonomy versus direct control over the labour process. Cap. Cl. 1(1), 43–57 (1977)
Degeling, P., Maxwell, S., Kennedy, J., Coyle, B.: Medicine, management, and modernisation: a “danse macabre”? BMJ Br. Med. J. 326(7390), 649–652 (2003)
Braithwaite, J., Runciman, W.B., Merry, A.F.: Towards safer, better healthcare: harnessing the natural properties of complex sociotechnical systems. Qual. Saf. Health Care 18(1), 37–41 (2009). https://doi.org/10.1136/qshc.2007.023317
Zviedris, M., Barzdins, G.: ViziQuer: a tool to explore and query SPARQL endpoints. In: Antoniou, G., et al. (eds.) ESWC 2011. LNCS, vol. 6644, pp. 441–445. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21064-8_31
Aspin, A.: Self-service business intelligence. In: High Impact Data Visualization with Power View, Power Map, and Power BI, pp. 1–18. Apress, Berkeley (2014)
IBM: Watson Analytics (2017). https://www.ibm.com/watson-analytics
Androutsopoulos, I., Ritchie, G.D., Thanisch, P.: Natural language interfaces to databases – an introduction. Nat. Lang. Eng. 1(1), 29–81 (1995). https://doi.org/10.1017/S135132490000005X
Li, F., Jagadish, H.V.: Constructing an interactive natural language interface for relational databases. J. Proc. VLDB Endow. 8(1), 73–84 (2014)
Llopis, M., Ferrández, A.: How to make a natural language interface to query databases accessible to everyone: an example. Comput. Stand. Interfaces 35(5), 470–481 (2013)
Papadakis, N., Kefalas, P., Stilianakakis, M.: A tool for access to relational databases in natural language. Expert Syst. Appl. 38, 7894–7900 (2011)
Popescu, A.M., Armanasu, A., Etzioni, O., Ko, D., Yates, A.: Modern natural language interfaces to databases: Composing statistical parsing with semantic tractability. In: Proceedings of the 20th International Conference on Computational Linguistics, COLING 2004, article no. 141 (2004)
Vos, L., Chalmers, S.E., Dückers, M.L., Groenewegen, P.P., Wagner, C., van Merode, G.G.: Towards an organisation-wide process-oriented organisation of care: a literature review. Implement. Sci. 6(1), 8 (2011). https://doi.org/10.1186/1748-5908-6-8
Barzdins, J., Rencis, E., Sostaks, A.: Data ontologies and ad hoc queries: a case study. In: Haav, H.M., Kalja, A., Robal, T. (eds.) Proceedings of the 11th International Baltic Conference, Baltic DB&IS, pp. 55–66. TUT Press (2014)
Kasprzyk, A., Keefe, D., Smedley, D., et al.: EnsMart: a generic system for fast and flexible access to biological data. Genome Res. 14, 160–169 (2004)
Zhang, J. et al.: BioMart: a data federation framework for large collaborative projects. Database J. Biol. Databases Curation (2011). http://doi.org/10.1093/database/bar038
Barzdins, J., Grasmanis, M., Rencis, E., Sostaks, A., Barzdins, J.: Self-service ad-hoc querying using controlled natural language. In: Arnicans, G., Arnicane, V., Borzovs, J., Niedrite, L. (eds.) DB&IS 2016. Communications in Computer and Information Science, vol. 615, pp. 18–34. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40180-5_2
Barzdins, J., Grasmanis, M., Rencis, E., Sostaks, A., Barzdins, J.: Ad-hoc querying of semistar data ontologies using controlled natural language. In: Databases and Information Systems IX. Frontiers in Artificial Intelligence and Applications, vol. 291, pp. 3–16. IOS Press (2016). https://doi.org/10.3233/978-1-61499-714-6-3
Barzdins, J., Grasmanis, M., Rencis, E., Sostaks, A., Steinsbekk, A.: Towards a more effective hospital: helping health professionals to learn from their own practice by developing an easy to use clinical processes querying language. Procedia Comput. Sci. J. 100, 498–506 (2016). https://doi.org/10.1016/j.procs.2016.09.188. International Conference on Health and Social Care Information Systems and Technologies
Barzdins, J., Rencis, E., Sostaks, A.: Granular ontologies and graphical in-place querying. In: Short Paper Proceedings of the PoEM, CEUR-WS, vol. 1023, pp. 136–145 (2013)
Smith, L.F.P., Shepperd, J.: Making clinical governance work for you. Br. Med. J. 322(7302), 1608 (2001)
Acknowledgements
This work is supported by the ERDF PostDoc Latvia project Nr. 1.1.1.2/16/I/001 under agreement Nr. 1.1.1.2/VIAA/1/16/218 “User Experience-Based Generation of Ad-hoc Queries From Arbitrary Keywords-Containing Text” and the joint project of University of Latvia and Centre for Disease Prevention and Control “Towards a public monitoring system for the quality and efficiency of health care” under agreement Nr. ZD2017/20443.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Rencis, E., Barzdins, J., Grasmanis, M., Sostaks, A. (2018). Facilitation of Health Professionals Responsible Autonomy with Easy-to-Use Hospital Data Querying Language. In: Lupeikiene, A., Vasilecas, O., Dzemyda, G. (eds) Databases and Information Systems. DB&IS 2018. Communications in Computer and Information Science, vol 838. Springer, Cham. https://doi.org/10.1007/978-3-319-97571-9_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-97571-9_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-97570-2
Online ISBN: 978-3-319-97571-9
eBook Packages: Computer ScienceComputer Science (R0)