eHealth and Statistics Sally Goodenough and Miriam Bluhdorn HIMAA Symposium 26 th September 2008

AIHW & national statistics National statistics –Health –Community services –Housing Statistics based on data from the health sector form the evidence base

Statistics value chain

eHealth means BIG changes What will the impact be for statistics? –Can continuity be assured? –Opportunities for new or better statistics? AIHW-NEHTA project to explore the possibilities

Data re-use Data moves from the clinical to the statistical realm Data is re-purposed, then re-used Statistics produced then benefit the health sector

Moving data between systems

Key roles Health consumer User (& specifier) Requirements coordinator & approver ICT change manager Data collector Trusted intermediary Knowledge builder

Key processes

Process step is complex

Archetypes Casemix NEHTA Data supply chains SNOMED CT HL7 v3 Data Dictionaries ICD-10-AM Harmonization Shared Electronic Health Record Extraction Fitness for purpose WHO Relationship modelling Trusted Intermediary Consumers Ontologies Secondary use ISO Privacy Unique identifiers

Changes to environment Standardised & interconnected systems Need explicit business rules for automation The consumer – the “person in the centre” Privacy & auditing constraints New stakeholders Unknown pace of change

Impact on HIM’s Be patient Leverage your skill set Need for rapid learning and development

The future We don’t know all the answers But we have a way to think about the questions! Next project is to test impacts on existing statistical data sets

Thank you!