Facilitation of Health Professionals Responsible Autonomy with Easy-to-Use Hospital Data Querying Language
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.
KeywordsResponsible autonomy Hospital management Self-service knowledge system Ad-hoc querying Semistar ontologies Controlled natural language Hierarchical data Medical data
This work is supported by the ERDF PostDoc Latvia project Nr. 220.127.116.11/16/I/001 under agreement Nr. 18.104.22.168/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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