1. LEVERAGING THE ENTERPRISE INFORMATION ENVIRONMENT Louise Edmonds Senior Manager Information Management ACT Health

2. Information as an Asset Data is a corporate asset and must be accessible Distribution of data & information to the right people at the right time in the right format Create once, use many One version of truth Credible, coherent data using best practice data principles

3. Data Governance Principles Data/Information management must be unified Authoritative sources must be identified Data warehouse domain architecture facilitates information availability Data needs to be restructured for easy access and management Information security policy addresses authorisation and authentication

4. ACT Health Business Requirements Enterprise wide approach to Information Management Enabling warehouse and report platform Processes to support data governance and standards Consolidation of information systems Development of online reporting for internal and external stakeholders

5. Information Evolution Model Level 1: Operate – Chaotic Information Environment –Individual silos – have authority over information usage –Information infrastructure is limited, highly variable or subjective –Individual methods of finding & analysing information are used. Little is documented and process repeatability is limited to individual knowledge. –Individual results are adopted as ‘corporate truth’ - Many versions of truth

6. Information Evolution Model Level 2: Consolidate – Departmental or Functional Level Information Environment –Independent department islands of information are created –Data are consolidated and accessed at department level. –Departmental business measures are inconsistent across the enterprise –Multiple interfaces and data extracts from operational databases reflect different versions of the truth

7. Information Evolution Model Level 3: Integrate – Integrated Information Environment –Cross enterprise information access is in place –Decision making is in an enterprise wide context –An enterprise information governance process is in place –Enterprise data frameworks are in place –Information management concepts are applied –Data Quality is valued and feedback is established

8. Information Evolution Model Level 4: Optimise – Extension of the Integrated Information Environment –Enterprise Information Environment –Knowledge sharing leveraged Level 5: Innovate – Organisational Culture of Innovation based on Integrated Information Environment –Agile innovation of organisation’s information assets

9. Information Evolution Model

10. ACT Health Enterprise Information Management environment (ACTHEIM) The ACTHEIM environment is about how the information flow is managed from start to finish Provision of end to end dynamic data Set of structured compliance elements that are centralised to support shared corporate information knowledge. Central service point for the organisation’s information management and data requirements.

11. Business Metadata Management System (BMMS) Data Dictionary linked to AIHW METeOR Describes the data elements used in reporting Performance Indicator Register Describes the Indicators derived and reported Information Output Register (IOR) Describes the reporting from systems Central Data Systems Register (CDSR) Describes data collection systems

14. ACT Health Data Dictionary Established set of National and Local definitions Ensures consistent collection, improved comparability, use and interpretation of data National definitions support and provide guidelines for development and use of local definitions Business Rules developed to provide detailed guide for use, additional information and direction for use in data collection

21. Performance Indicator Register Performance Indicators help define and measure progress toward organisational goals Performance Indicator Register is a set of comprehensive indicators defined for use in ACT Health including government and agency indicators The specification describes how each field in the register should be filled out. It clearly defines what constitutes valid data for each field Data Dictionary elements are the platform for development

23. Indicator Concept Model

31. Information Output Register (IOR) Contains the list of outputs such as reports, including instructions on how these reports are generated and maintained. Provides operational and business areas a tool to document their outputs. Is critical in describing the output to be published in the enterprise environment. Supports identification of opportunities to develop efficiency gains and automation

34. Central Data Systems Register (CDSR) The Central data Systems Register (CDSR) is a repository of metadata about the various sources of data (primary, secondary and/or derived). –ACTPAS = primary data source –Admitted Patient Care dataset = Secondary + derived elements

38. Data Management Governance Framework Policy, Data Standards and Business Rules Accountabilities and processes Change management Data validation and cleansing protocols Extraction, Transformation and Loading processes Technical Metadata capability to support impact assessments and change management Defined operational requirements supporting integrated aligned data

39. Benefits Dynamic reports interfaced with underlying business metadata – consistent terminologies/standards Opportunity leveraging of organisation knowledge capital ie work undertaken in one area shared Reduction of duplication - elimination of redundancies Availability to organisation of libraries of definitional work, specifications and standards Credible robust data – One source of Truth

40. Thank you