LEVERAGING THE ENTERPRISE INFORMATION

ENVIRONMENT

Louise Edmonds

Senior Manager Information Management

ACT Health

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

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

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

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

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

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

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

Information Evolution Model

Inf

orm

atio

n C

apab

ilitie

s

Strategic Value

Operate

Consolidate

Integrate

Optimize

Innovate

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.

Business Metadata Management System (BMMS)

• Data Dictionary linked to AIHW METeORDescribes the data elements used in reporting

• Performance Indicator RegisterDescribes the Indicators derived and reported

• Information Output Register (IOR)Describes the reporting from systems

• Central Data Systems Register (CDSR)Describes data collection systems

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

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

Documentsthat define the need for the

indicatorNO FURTHER

ACTIONNO

Indicator Specification

Strategic Plan

Mandatoryreporting

Benchmarking

PolicyCompliance

Funding Agreements

Expected benefits and outcomes

Impacts on policies and procedures

Are restrictions on access needed?

Who is the sponsor?

Who sets targets?

Who has to achieve the targets?

Who receives the reports?

WHYWhy develop this indicator?

HOWHow will it be used?

WHO

Who is involved?

WHENWhat are the timelines?

WHATContext and details

Implementation deadline

Report frequency

Review dates

RESEARCH

Contract dates

Software application or care discipline

ACT Performance Domain (Divisions)

National Performance Domains

Threshold values used to assess results

Other essential criteria for development

DATA ENTRY INTO KEY PERFORMANCE INDICATOR SYSTEM

IS IT NECESSARY?

YES

Impacts on software applications

Privacy issues eg small cell values

Who are the stakeholders?

End dates - retirement of indicator

Indicator Concept Model

DataElement

Condition+ = INDICATOR

INDICATOR

Data element 1Condition 1

Data Element 2

Condition 2

Condition 3

Data Element n Condition nn

Modified by

Modified by

Modified by

PLUS

PLUS

Relational attributesRepresentational

attributes

Data DictionarySource systems

(CDSR)External definitions

Administrative attributes

FormatsData typesField size

Ownership, Responsibilities,frequency, strategies

Registration, tracking andversion control

Modified by

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

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

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

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

Thank you