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Facilitation of Health Professionals Responsible Autonomy with Easy-to-Use Hospital Data Querying Language

  • Edgars RencisEmail author
  • Juris Barzdins
  • Mikus Grasmanis
  • Agris Sostaks
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 838)

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.

Keywords

Responsible autonomy Hospital management  Self-service knowledge system Ad-hoc querying Semistar ontologies  Controlled natural language Hierarchical data Medical data 

Notes

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.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Edgars Rencis
    • 1
    Email author
  • Juris Barzdins
    • 2
  • Mikus Grasmanis
    • 1
  • Agris Sostaks
    • 1
  1. 1.Institute of Mathematics and Computer Science, Faculty of ComputingUniversity of LatviaRigaLatvia
  2. 2.Centre of Health Management and Informatics, Faculty of MedicineUniversity of LatviaRigaLatvia

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