Skip to main navigation Skip to search Skip to main content

Facilitation of health professionals responsible autonomy with easy-to-use hospital data querying language

  • University of Latvia

Research output: Chapter in Book/Report/Conference proceedingConference paperResearchpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDatabases and Information Systems - 13th International Baltic Conference, DB and IS 2018, Proceedings
EditorsOlegas Vasilecas, Gintautas Dzemyda, Audrone Lupeikiene
PublisherSpringer Verlag
Pages202-215
Number of pages14
ISBN (Print)9783319975702
DOIs
Publication statusPublished - 2018
Event13th International Baltic Conference on Databases and Information Systems, DB and IS 2018 - Trakai, Lithuania
Duration: 1 Jul 20184 Jul 2018

Publication series

NameCommunications in Computer and Information Science
Volume838
ISSN (Print)1865-0929

Conference

Conference13th International Baltic Conference on Databases and Information Systems, DB and IS 2018
Country/TerritoryLithuania
CityTrakai
Period1/07/184/07/18

Keywords

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

Fingerprint

Dive into the research topics of 'Facilitation of health professionals responsible autonomy with easy-to-use hospital data querying language'. Together they form a unique fingerprint.

Cite this