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オーストラリア:電子医療、電子教育、電子政府

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

発行 BuddeComm 商品コード 177677
出版日 ページ情報 英文 192 Pages
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オーストラリア:電子医療、電子教育、電子政府 Australia - E-Health, E-Education, E-Government
出版日: 2015年06月01日 ページ情報: 英文 192 Pages
概要

当レポートでは、オーストラリアの電子医療 (eヘルス) ・電子教育 (e教育) ・電子政府 (eガバメント) 部門における動向と発展に焦点を当てて、これらのサービスの発展と成長の問題点について検証し、世界/国の統計も含めて、体系的な情報を提供しています。

第1章 ビッグデータベースのスマート社会

  • 提案
  • 哲学と科学
  • 社会・経済の発展
  • 限界に達しているか?
  • ITを使用するソリューションで知能を高める
  • 発展の例
  • 結論

第2章 電子医療 (eヘルス)

  • 考察、統計、分析
  • パイロット・プロジェクト
  • PCEHR

第3章 電子教育 (e教育)

  • イントロダクション
  • 教育システムはいずれ危機的状況に
  • e教育の動向と発展
  • 教育とNBN
  • e教育インフラのイニシアチブ
  • オーストラリアのe教育コンテンツ
  • その他のe教育の動向と発展

第4章 電子政府 (eガバメント)

  • 政府はデジタルリーダーシップで後れを取る
  • 政府市場の統計概要
  • 政府はデジタル経済で指導者の役割を担うべき
  • 連立内閣のデジタルアジェンダ
  • 国家デジタル経済戦略 (NDES)
  • 政府とクラウドコンピューティング
  • 政府が国家テレプレゼンスシステムを展開
  • NSW Data Hub
  • オンライン議会キオスク
  • NSW政府サービスのeペイメント
  • 世界のイノベーション指数におけるオーストラリア

第5章 スマートインフラ

  • スマート・コネクテッド輸送
  • スマートシティ、スマートインフラ

第6章 M2M・IoT

  • 統計情報
  • 市場・産業分析
  • 検出・監視情報によるサービスの変化
  • スマートプロジェクト
  • スマート工場

図表

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目次

This annual report offers a wealth of information on the trends and developments taking place in the e-health, e-education and e-government sectors. The report analyses the issues surrounding the development and growth of these services. It includes global and national statistics. Subjects covered include:

  • Smart Societies will increasingly depend on Artificial Intelligence
  • Transformation of the healthcare, education and government sectors
  • The need for increased (digital) productivity
  • An overview on the e-health market including analysis and statistics;
  • An overview on the e-education market with developments, analysis and statistics;
  • An overview on the e-government market with some key facts and figures;
  • Information on the involvement of the key market players.

Executive Summary

New developments driven by IoT and M2M - cities leading the charge

Smart Societies based on Big Data

M2M (machine-to-machine) and IoT (Internet of Things) linked to data analytics (big data) developments are accelerating, and as more companies enter this sector and spend money on developing it, we will see further astonishing innovations emerge over the next few years. Applications are already being used in infrastructure, telecommunications, healthcare, education as well as in government; we will address this in detail in this report.

Given the current social, economic and political developments, it becomes clear that we seem to have reached a ceiling in our intellectual ability to address the complex issues that society is facing. Society lacks the capacity that is required to address the holistic nature of the current challenges. Without that analytic capacity, it will be impossible to come up with the right answers.

In the end it is about people, smart people - what is needed is a vision from the top from our leaders and smart communities who work from the bottom upwards. This process is already underway through global interconnection, facilitated by technologies such as the internet, broadband, smartphones and mobility. The latest developments are in M2M and IoT where we link different data sets together and use so-called 'big data' technologies and analyses to better manage the various aspects of our society.

Smart Cities and Smart Infrastructure

The development of smart cities and indeed smart countries require vision and recognition of the fact that many of today's social, economic and sustainability problems can only be solved with the assistance of ICT. In many situations the ubiqueness, affordability, capacity, robustness, security and quality necessary for this calls for fibre optic and high-speed wireless infrastructures. This need will increase dramatically over the next 5 to 10 years as industries and whole sectors (healthcare, energy, transport, water) carry out the process of transforming themselves in order to much better address the challenges ahead.

We need to create smart cities, smart businesses and smart countries, with high-speed infrastructure, smart grids, intelligent buildings, etc.

In order to manage our societies and economies better we need to have much better information about what is happening within all of the individual ecosystems, and in particular information about how these different systems interact. Currently they all operate within silos and there is little or no cooperation or coordination between them. ICT can be the bridge to bring them together; to collect data from them and process it in real time. Information can then be fed back to those who are managing the systems, and those who operate within them, such as doctors, teachers, business people, bureaucrats, politicians.

Some of these data interactions are already happening around smartphones, social media, traffic and crowd control and weather information.

E-Health

Progress in e-health developments in Australia remains slow and low key. Unlike the USA for instance, where e-health is driven by health insurance companies and private health care organisations, the developments in Australia largely depend on government initiatives. The fact that private companies are driving the development elsewhere is a clear indication that significant cost savings can be achieved through e-health.

Back in 2010, it looked like that the national broadband network (NBN) could be a catalyst in kick-starting these initiatives, the most important policy initiatives in this respect were linked to the Medicare reforms, which provide health insurance coverage for selected video consults in rural and regional areas, as well as projects linked to the personally controlled electronic health record (PCEHR). However, with the downgrading of the NBN and a lack of interest from the current government in e-health in general, hardly any new initiatives have been undertaken since 2013, while the early initiatives have largely been put on hold.

This inertia also has an effect on other e-health initiatives that were starting to emerge in parallel with the early NBN e-health developments. As most e-health services depend on policy leadership from the government as well as on a high quality, high-speed broadband network for their distribution, nothing much is excepted to happen over the next 3 to 5 years, unless something dramatically changes.

However, as the financing of the public health systems in Australia becomes increasingly costly, the opportunity exists to lower costs through more effective use of e-health.

E-Education

Education is seen as one of the key sectors that will benefit from developments in the digital economy, but so far the results of adaptation have been mixed. While new ICT gear has entered the classroom it is being used within the traditional classroom learning system. In order to fully utilise these new technologies a true sector transformation will need to take place. Good examples can be seen in developing economies where there are little or no traditional systems in place. There, for example, children are using smartphone apps and the internet to bypass these traditional systems and are basically using the new technology for self-education. Schools are then adapting to these new circumstances. Freely available educational material from many school and university websites around the world is assisting this development.

It is most unlikely that the traditional education system will be able to cater for the massive requirements that lie ahead of society in relation to the rapid changes in skill and knowledge requirements. Digital adaptation will be needed to break through the old structures.

Perhaps far more threatening are the many social and economic changes that are taking place in society. Not only is the traditional education system ill-equipped for this transformational process, the costs involved in running such a system are simply no longer economically viable. The use of IT and telecommunications technology within educational environments is set to further increase dramatically over the coming years as high-speed broadband becomes widely available in Australia. Simultaneously, the capability of internet services dedicated to e-education purposes is set to increase enormously over the next decade as well. Australia, with its large landmass and relatively small population, is an ideal market for remote education services, and as such Australia is home to many successful e-education service providers, as well as being a relatively important export market for e-education services. Rather than addressing the education system by making it more expensive, government policies should be directed to make the system more efficient, e-education can play a key role in this.

E-Government

Governments are facing revenue and expenditure pressures that will only intensify in the coming decades as the Australian population ages. This is creating an urgent need to reduce costs, particularly in non-front line areas such as administration. At the same time, the public sector is at a crossroads of how services have been delivered in the past and how they will be delivered in the future. It is also facing structural changes, such as an increasingly mobile workforce and more complex service delivery channels.

To deal with these cost pressures and impending structural changes, governments will need to fundamentally change their policy-making and regulatory frameworks, and their approach to service delivery. Adopting digital technologies will be central to solving these problems, but it will also require comprehensive reforms to the public sector. However, such reforms are not just about cutting costs. Improvements to public sector efficiencies and effectiveness, and reduced administration costs can also flow on to a healthier national economy and enable improved services in areas such as health and education.

Many countries around the world are now well aware of the importance of e-government and many governments have shown leadership in developing online services. The benefits of e-government applications can include cutting costs and improving processes and information flow, but one of its primary aims is to improve customer service for citizens. The government has taken a leading role in developing a National Cloud Computing Strategy, which in turn has created trust within the broader industry to start adopting new opportunities that are becoming available here.

Table of Contents

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 R&D 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 patient's 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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