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Australia - E-Health, E-Education, E-Government

  • June 2015
  • -
  • Paul Budde Communication Pty Ltd
  • -
  • 192 pages

Subjects covered include:

·         Government policies to stimulate the digital economy;
·         Government initiatives to fund infrastructure for the digital economy;
·         Industry initiatives regarding FttH infrastructure and smart grids;
·         Digital media strategies for local councils;
·         Local broadbanding case studies;
·         Smart grids as green telecoms, carbon trading, environmental issues;
·         Market and industry analyses;
·         Market statistics and forecasts.
 
Researcher: Paul Budde

Current Publication date: March 2008 (1st Edition)

Next Publication date: March 2009

Table Of Contents

Australia - E-Health, E-Education, E-Government
1. Smart Societies based on Big Data
1.1 The proposition
1.2 Philosophy and science
1.3 Social and economic developments
1.4 Are we reaching another breaking point?
1.5 Solutions by using information technology to increase our intelligence
1.5.1 Silos need to be replaced by trans-sector thinking
1.5.2 Disintermediation brings people closer together
1.5.3 ICT - assisting in creating a global brain
1.5.4 Cognitive Systems
1.6 Examples of developments
1.6.1 Watson cognitive computing
1.6.2 Deep learning
1.6.3 Angelina
1.6.4 Cognitive Engine
1.7 Conclusion
2. E-Health
2.1 Insights, Statistics and Analysis
2.1.1 The Australian healthcare sector - 2015
2.1.2 The national health reform
2.1.3 E-health
2.1.4 E-health policy crisis Australia
2.1.5 Trends and Developments
2.1.6 Survey Results
2.1.7 Market and Industry analysis
2.2 Pilots and Projects
2.2.1 E-health projects and initiatives
2.2.2 Digital Regions Initiative 2009-2013 (historic)
2.2.3 RandD projects and initiatives
2.2.4 Private initiatives
2.2.5 Telstra's e-health initiatives
2.2.6 Health insurance - Health.com
2.3 Personally Controlled Electronic Health Records (PCEHR)
2.3.1 PCEHR system 2.0
2.3.2 Key Developments 2009 - 2014
2.3.3 Other e-health record projects
2.3.4 Expected benefits of PCEHR
2.3.5 Online delivery of health documents
2.3.6 The most vulnerable need our assistance with e-health PCEHR analysis
2.3.7 Market surveys
3. E-Education
3.1 Introduction
3.2 Education system will hit economic crisis point
3.2.1 Education is not keeping up with social changes
3.2.2 Economic costs will force the system to change
3.2.3 Governments will be forced to stop costs spiralling out of control
3.3 Trends and Developments in E-Education
3.3.1 ICT cutbacks hit education sector
3.3.2 Education transformation will guide e-learning.
3.3.3 Self-learning in developing economies
3.3.4 Schools as platforms for individual learning
3.3.5 E-Learning the story so far
3.4 Education and the NBN
3.4.1 Introduction
3.4.2 Survey shows NBN important for education
3.4.3 Analysis on e-education initiatives
3.4.4 Improved outcomes via fast broadband
3.4.5 The NBN-Enabled Education and Skills Services program
3.4.6 NBN education portal
3.4.7 Virtual excursions from the classroom
3.4.8 Tuition for new migrants using the NBN
3.4.9 Online training and advice from TAFE
3.4.10 EduOne - 2012
3.4.11 Classrooms in the cloud
3.4.12 ABC Splash
3.4.13 Digital careers program
3.4.14 National VET E-Learning Strategy
3.5 E-education infrastructure initiatives
3.5.1 Background
3.5.2 National government policy
3.5.3 Satellite boosting distance learning in NSW
3.5.4 MySchool 2.0
3.5.5 NSW schools get fast broadband
3.5.6 AARNet's e-learning pilot
3.5.7 Broadband for Seniors
3.6 E-education content in Australia
3.6.1 Australia's largest online library
3.6.2 E-learning from Australian Computer Society (ACS)
3.6.3 Media literacy
3.6.4 Digital literacy program for adults
3.6.5 Massive Open Online course (MOOC)
3.7 Other E-education Trends and Developments
3.7.1 Digital transformation of higher education
3.7.2 Bring Your Own Device to school
3.7.3 Devices driving ICT spending in education
3.7.4 Education apps
3.7.5 Health and e-education working to solve reading problems
4. E-Government
4.1 Government lags in digital leadership
4.2 Statistical Overview of the Government Market
4.2.1 Government ICT spending set to reach $6.2b by 2018
4.3 Government should take a leadership role in the digital economy
4.4 Coalition Government's Digital Agenda
4.4.1 Focussing on e-Government
4.4.2 Digital Transformation Office
4.5 National Digital Economy Strategy (NDES) - Historic
4.5.1 Introduction
4.5.2 Advancing Australia as a Digital Economy - 2013 update to the NDES
4.5.3 Federal Government's Digital First Policy
4.5.4 Local e-government initiative from NDES
4.6 Government and cloud computing
4.6.1 Coalition cloud policy
4.6.2 Federal Government early adopter
4.6.3 National cloud computing strategy
4.6.4 Cloud rules for offshore storage of government data
4.6.5 Rules for cloud procurement
4.6.6 Supreme Court of Victoria in the cloud
4.7 Government deploys national TelePresence system
4.8 NSW Data Hub
4.8.1 Other state initiatives
4.9 Online council kiosks
4.10 E-payment for NSW Government service
4.11 Australia in the Global Innovation Index
4.11.1 Overview
4.11.2 Australian rankings
5. Smart Infrastructure
5.1 Smart and Connected Transport
5.1.1 What are intelligent transport systems (ITS)?
5.1.2 ITS Australia
5.1.3 Infrastructure
5.1.4 Private Cars
5.1.5 Smart Parking
5.1.6 Smart Road Freight Transport
5.1.7 Smart Trains
5.1.8 Other Public Transport
5.1.9 Transformation of the taxi business
5.1.10 Dedicated short-range communications (DSRC)
5.1.11 Research and Development
5.1.12 Smart transport and the National Broadband Network (NBN)
5.2 Smart Cities, Smart Infrastructure
5.2.1 Smart Cities and Smart Councils
5.2.2 The Drivers behind Smart Cities
5.2.3 Trends, Developments, Analyses
5.2.4 Smart cities and smart countries - Analysis
5.2.5 Intelligent infrastructure Projects
5.2.6 NBN and Smart Infrastructure
5.2.7 Rolling out infrastructure the smart way
6. M2M and The Internet of Things
6.1 Statistical information
6.1.1 Results from early IoT adopters
6.1.2 M2M keeps growing into 2016
6.1.3 High adoption rates for IoT
6.1.4 Ovum/Vodafone study tips the market at A$530 million by 2019
6.1.5 Insights on M2M from Vodafone
6.1.6 Market forecast network connected devices 2015
6.1.7 M2M statistics from Telstra
6.1.8 Forecast from Telsyte
6.1.9 IoT Moving mainstream
6.1.10 Lack of leadership, standardisation and interoperability
6.1.11 Competitive advantages of Mobile M2M
6.2 Market and Industry Analyses
6.2.1 Analysis of the market in 2015
6.2.2 IoT transforming product-based economies to ones based on services
6.2.3 M2M hype and reality
6.2.4 2014 was the year of M2M, but
6.2.5 Who will dominate the IoT market?
6.2.6 The Internet of Everything
6.2.7 Electricity companies and the M2M
6.2.8 Data analytics solutions for Smart Grids
6.2.9 Cryptography
6.3 Change in services driven by Sensing and monitoring information
6.4 Smart Projects
6.4.1 Melbourne's trees are online
6.4.2 Sydney Harbour Bridge M2M monitoring
6.4.3 Sydney Water
6.4.4 RFID Materials management on massive scale
6.4.5 Vehicle tracking
6.4.6 UniSA satellite system
6.4.7 SenSA
6.4.8 Smart Water
6.4.9 M2M to monitor natural resources
6.4.10 Traffic lights and alarm system go M2M over the NBN
6.4.11 Tsunamis warning system
6.4.12 M2M to save miners lives
6.4.13 Optus
6.4.14 Vodafone
6.4.15 Sense-T
6.5 Smart Factory Industry 4.0
Table 1 - Selection of predictions in BT's timeline
Table 2 - Percentage of GDP and government spend on aged care - 2001; 2008 - 2010; 2040; 2050
Table 3 - The costs of healthcare (selected countries) 2012
Table 4 Expected total net benefits of the funded national PCEHR system (2010-2025)
Table 5 - Benefits of the national PCEHR system for priority health activities
Table 6 - Breakdown of PCEHR benefits by care setting
Table 7 Doctors Routine Use of Healthcare IT Capabilities
Table 8 Estimated education and training revenue 2012
Table 9 Estimated government recurrent expenditure 2012 - 2013
Table 10 - Government Cloud Computing examples
Table 11 Comparison of Australian measurements in the Global Innovation Index 2011 - 2014
Table 12 - State based parking statistics 2014
Table 13 - Telstra M2M statistics
Chart 1 Overview of GDP spent on aged care versus government spend 2001; 2008 - 2010; 2040; 2050
Exhibit 1 From data analytics to Artificial Intelligence (AI)
Exhibit 2 Watson in healthcare
Exhibit 3 Key data healthcare sector - 2015
Exhibit 4 Costs of e-health plan
Exhibit 5 - Primary and community health sector statistics
Exhibit 6 Aged care services statistics
Exhibit 7 GP response to e-health
Exhibit 8 - Heathcare in Australia
Exhibit 9 - Automated drug alerts
Exhibit 10 PCEHR timeline 2009 - 2014
Exhibit 11 Working through record matching progress report 2011
Exhibit 12 - Details of patients e-health record as per mid 2013
Exhibit 13 A snapshot on school education
Exhibit 14 Stage 1 of the government's Digital Transformation initiatives
Exhibit 15 - Cooperative Intelligent Transport Systems (C-ITS)
Exhibit 16 - Noise monitoring in Melbourne
Exhibit 17 Design principles of industry 4.0

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