AUCDI design principles

A number of core design principles were developed by the CDG in the development of AUCDI R1.

The table below sets out the design principles used and how the clinical information model has been aligned

Design Principles	Alignment
Reduce duplication – single entry, single development (multiple use and reuse)	Data collected in a structured and coded manner enables data to be reused for clinical decision support; the population of summary information, forms, and letters; and for secondary use such as population health planning.
Supports person-centred care – driven by a clinical quality and safety use case	Using standardised coded structured data for health information will support good clinical care, unambiguous transfer of clinical information and clinical decision support. This allows delivery of the right care to the right person at the right time.
No data for data’s sake	Every proposed data element has a practical purpose. Data models are intentionally minimal to start with, incorporating the minimum data elements to support safe and effective care, rather than collecting a comprehensive data set. In future releases, new data group concepts will be added and the level of detail of existing data groups will be increased to support clinical priorities and data requirements.
Driven by clinical data use first	Clinical data collection should be driven by primary use first – clinical use; however secondary use should still be considered. Data designed for clinical use at the point of care should also enable the data to be reused and aggregated for secondary purposes.
Supports best practice care, clinical guidelines, and clinician workflow	The use of standardised, coded, structured data for clinical information will support best practice clinical care, clinical decision support including guidelines, and streamlined clinician workflow.
Systems can support now or with minimal effort	Most systems can support the minimal model represented in R1. In future releases, the R1 data groups may be enhanced, or new data groups added to evolve towards a strategic roadmap with an agile iterative process.
Alignment with national health data standards and initiatives	Reference national standards and initiatives, such as: SNOMED CT-AU and the Australian Medicines Terminology (AMT)My Health RecordThe Royal Australian College of General Practitioners “Minimum requirements for general practice clinical information systems to improve usability”
Alignment with international standards and initiatives	Reference international standards and initiatives, such as: International Patient SummaryHL7 Gender Harmony ProjectInformation models:FHIR ResourcesopenEHR archetypes
Involve and consider all healthcare domains and care modalities	The data groups are agnostic of any specific use case and needs to support usage in all healthcare domains and across healthcare modalities. Stakeholders engaged include primary, acute, and tertiary care and specialised domains and professions such as aged care and allied health.