LEVERAGING THE ENTERPRISE INFORMATION ENVIRONMENT

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