Healthcare Data Quality Language (HDQL): Streamlining the Translation of Healthcare System Requirements into Software Quality Attributes
Existing software quality definition models often fall short in addressing the dynamic and evolving requirements of Healthcare Information Systems (HIS), particularly the unique regulatory and infrastructural challenges inherent to healthcare environments. This poster introduces the Healthcare Data Quality Language (HDQL), a novel framework designed to bridge the gap between HIS requirements and software quality attributes. HDQL enables healthcare professionals to intuitively define software features tailored to their needs, fostering improved system acceptance, enhanced performance, and system evolution.
Authors
- T. S. Haddad (ORCID: https://orcid.org/0009-0009-5187-1168)
- Simon de Lusignan (ORCID: https://orcid.org/0000-0002-8553-2641)
- Sarah Barman (ORCID: https://orcid.org/0000-0001-5302-0169)
- Pushpa Kumarapeli (ORCID: https://orcid.org/0000-0002-9552-6835)
- Souheil Khaddaj (ORCID: https://orcid.org/0000-0001-9477-4290)
Institutions
- University of Oxford (GB)
- Kingston University (US)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250456
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00