This document analyzes digital lifestyle segmentation of mobile subscribers based on their online activities. It identifies five distinct digital lifestyle profiles based on analysis of usage data from over 60,000 subscribers across multiple operators:
1. Info Seeker: Focuses on general web browsing. Generates 12% of traffic but represents 32% of subscribers.
2. Info Guzzler: Divides into those focused on general browsing and video streaming or on multiple personal activities. Represents 5% of subscribers but generates 5% of traffic.
3. Social Monitor: Tends to access social network content, social video, and VoIP. Represents 15% of subscribers and generates 9% of traffic.
4. Social Mingler
The Case for Personal Information Empowerment and the rise of personal data s...Mydex CIC
For more information about Mydex, kindly visit http://mydex.org/about/
Or visit the developers site at http://dev.mydex.org
And to become a member of Mydex Personal Data Store, visit http://pds.mydex.org
Also learn more about Mydex-Midata at http://midata.mydex.org
and Mydex-Third Sector at http://thirdsector.mydex.org
Follow Mydex on: -
Twitter: http://www.twitter.com/mydexcic
Facebook: http://www.facebook.com/Mydex.org
Flickr: http://www.flickr.com/photos/mydexcic/
RSS feed: http://feeds.feedburner.com/Mydex
Google Plus: https://plus.google.com/u/1/104992390676431315997/posts
How Linked Data is transforming eGovernmentNikos Loutas
This document discusses how linked data is transforming eGovernment by integrating government data through linking related datasets. It explains the key concepts of linked data including the four design principles put forward by Tim Berners-Lee. The document also outlines how linked data enables greater government transparency, fosters innovation, and allows for virtual integration of data without centralization. The ISA programme is highlighted as actively promoting linked data adoption for public administrations through best practices, vocabularies, and pilot projects to realize the benefits of open government data through semantic interoperability and linked approaches.
Urban Systems Collaborative Seminar | John Reinhardt, City Forward and other ...urbansystemssymposium
City Forward is an IBM initiative that provides a web-based platform for visualizing and exploring open city data. It allows users to interact with data, engage in discussions, and share insights. The platform contains tools to turn raw data into meaningful visualizations and analyses to help reveal patterns and guide decision making. City Forward is intended to help citizens, practitioners, and local governments make more informed decisions about issues facing cities.
Final version of the general presentation that the RDA Secretary General presented about a dozen times at various conferences and workshops around Europe in the last two months.
This document provides an overview of the strategic research roadmap for the Internet of Things (IoT). It defines the IoT conceptual framework as a dynamic global network of physical and virtual "things" that are connected via standard communication protocols. The vision is for the IoT to merge with other internet developments to create a common global IT platform connecting people, things, energy networks, media, and services. Realizing this vision will require addressing challenges related to system architecture, management, business models, and ensuring security, privacy and interoperability as "things" become more connected and intelligent.
Spotless Inc is a company that produces water and food protection products including Pure, Dettol, Clean Clear, and Lifebuoy. They have factories in Germany and distribution centers across Europe. Their demand planning process uses exponential smoothing and seasonal forecasting models. Key figures like forecasts, promotions, and consensus averages are calculated and alerts are generated if safety stock levels drop below thresholds.
This document analyzes digital lifestyle segmentation of mobile subscribers based on their online activities. It identifies five distinct digital lifestyle profiles based on analysis of usage data from over 60,000 subscribers across multiple operators:
1. Info Seeker: Focuses on general web browsing. Generates 12% of traffic but represents 32% of subscribers.
2. Info Guzzler: Divides into those focused on general browsing and video streaming or on multiple personal activities. Represents 5% of subscribers but generates 5% of traffic.
3. Social Monitor: Tends to access social network content, social video, and VoIP. Represents 15% of subscribers and generates 9% of traffic.
4. Social Mingler
The Case for Personal Information Empowerment and the rise of personal data s...Mydex CIC
For more information about Mydex, kindly visit http://mydex.org/about/
Or visit the developers site at http://dev.mydex.org
And to become a member of Mydex Personal Data Store, visit http://pds.mydex.org
Also learn more about Mydex-Midata at http://midata.mydex.org
and Mydex-Third Sector at http://thirdsector.mydex.org
Follow Mydex on: -
Twitter: http://www.twitter.com/mydexcic
Facebook: http://www.facebook.com/Mydex.org
Flickr: http://www.flickr.com/photos/mydexcic/
RSS feed: http://feeds.feedburner.com/Mydex
Google Plus: https://plus.google.com/u/1/104992390676431315997/posts
How Linked Data is transforming eGovernmentNikos Loutas
This document discusses how linked data is transforming eGovernment by integrating government data through linking related datasets. It explains the key concepts of linked data including the four design principles put forward by Tim Berners-Lee. The document also outlines how linked data enables greater government transparency, fosters innovation, and allows for virtual integration of data without centralization. The ISA programme is highlighted as actively promoting linked data adoption for public administrations through best practices, vocabularies, and pilot projects to realize the benefits of open government data through semantic interoperability and linked approaches.
Urban Systems Collaborative Seminar | John Reinhardt, City Forward and other ...urbansystemssymposium
City Forward is an IBM initiative that provides a web-based platform for visualizing and exploring open city data. It allows users to interact with data, engage in discussions, and share insights. The platform contains tools to turn raw data into meaningful visualizations and analyses to help reveal patterns and guide decision making. City Forward is intended to help citizens, practitioners, and local governments make more informed decisions about issues facing cities.
Final version of the general presentation that the RDA Secretary General presented about a dozen times at various conferences and workshops around Europe in the last two months.
This document provides an overview of the strategic research roadmap for the Internet of Things (IoT). It defines the IoT conceptual framework as a dynamic global network of physical and virtual "things" that are connected via standard communication protocols. The vision is for the IoT to merge with other internet developments to create a common global IT platform connecting people, things, energy networks, media, and services. Realizing this vision will require addressing challenges related to system architecture, management, business models, and ensuring security, privacy and interoperability as "things" become more connected and intelligent.
Spotless Inc is a company that produces water and food protection products including Pure, Dettol, Clean Clear, and Lifebuoy. They have factories in Germany and distribution centers across Europe. Their demand planning process uses exponential smoothing and seasonal forecasting models. Key figures like forecasts, promotions, and consensus averages are calculated and alerts are generated if safety stock levels drop below thresholds.
Este documento habla sobre los virus informáticos. Explica que los virus son programas maliciosos que infectan otros archivos y sistemas con el objetivo de dañarlos o modificarlos. También describe los diferentes tipos de virus como virus de macros, virus de sobreescritura, virus de boot y más. Por último, ofrece consejos sobre cómo detectar y eliminar virus, incluyendo mantener el antivirus actualizado y escanear archivos sospechosos.
El documento presenta dos problemas relacionados con circunferencias. El primer problema usa las coordenadas de tres puntos (A, B, C) para determinar la ecuación de la circunferencia que pasa por esos puntos. Se resuelve un sistema de ecuaciones para encontrar el centro (8.1103, 7.5) y el radio (4.7172) de la circunferencia. El segundo problema encuentra la ecuación de una circunferencia dado su centro en el punto de intersección de dos rectas y un radio dado. La ecuación resultante es x2 + y2
This document provides an overview and agenda for an April 5th webinar about the linkAges Developer Challenge and Accelerator Project. It discusses the background and goals of the project, which is focused on improving health outcomes and quality of life for seniors. The webinar will cover kickoff details for a weekend event to brainstorm signal detection solutions, the 3-month developer challenge timeline and criteria, and awards for the challenge phases. Participants are encouraged to submit creative ideas that could help proactively support seniors aging independently in their homes and communities.
IWMW 2004: Using your Ayes and Noes: Creating a Business Case for an Institut...IWMW
Slides used in workshop session A4 on "Using your Ayes and Noes: Creating a Business Case for an Institutional Portal" at the IWMW 2004 event held at the University of Birmingham on 27-29 July 2004.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2004/sessions/middleton/
The 347 reported sales of single family homes and condominiums is the highest total ever for the month of January, eclipsing the previous record of 345 set in 2006!
There is only 2.16 months of available inventory for buyers to select from. Generally, 6 months of active inventory is considered to be a balanced market between buyers and sellers!
Dokumen ini memberikan informasi tentang teknik cuci tangan yang benar untuk mencegah penularan infeksi di rumah sakit. Teknik cuci tangan meliputi proses mekanik dan kimiawi untuk menghilangkan bakteri dari tangan dengan menggosokkan sabun dan menggunakan air mengalir selama 5-10 menit. Prosedur cuci tangan meliputi melepas perhiasan, menggulung lengan, menggosok tangan dengan sabun hingga berbusa
En la India y China durante la Edad Media, las matemáticas florecieron. En la India, el período entre los años 500-1200 d.C. fue muy importante para las matemáticas. En este tiempo, Aryabhata introdujo el sistema de numeración posicional decimal y desarrolló conceptos trigonométricos como la función seno. Los indios también adoptaron los números naturales y operaciones como la multiplicación y división. En China, los matemáticos hicieron contribuciones importantes en álgebra, geometría y teoría de números.
The document discusses the progression of Health 2.0 from user-generated health care to partnerships reforming health care delivery to data driving decisions and discovery. It outlines the stages of Health 2.0 and how data from individuals, populations, and references is integrated through a data utility layer to power unplatforms and composite applications that inform decisions and actions.
What happens when data start living their own life?Fing
This document discusses how data is changing and taking on a life of its own. It notes that data used to be ad hoc constructions for programs but is now natively digital and user-generated. This has led to new possibilities for real-time knowledge production but also challenges around managing and making sense of the large amount of diverse data. It suggests data now needs to be meaningful, reliable, consistent, documented, linked, accessible, and reusable across many different contexts.
Health 2.0 refers to the application of Web 2.0 technologies and principles to healthcare, including personalized search tools, online health communities that share information, and new interfaces and analytics that unlock health data. The document outlines the current state of Health 2.0 with search, communities and tools, and predicts future directions such as better integration of these areas and new "unplatforms" that bring together applications and data across different services. The goal is more engaged patients and improved healthcare through leveraging collective knowledge and data.
Gianni Cooreman is a business consultant specializing in big data. He has over 6 years of experience researching technology and 1 year of experience in analytics and strategy. Some of the key topics he discusses in the document include:
- Defining big data as high-volume, high-velocity, and high-variety data that exceeds typical storage and processing capabilities.
- Emphasizing that big data is about solving complex problems faster and more accurately to drive business value.
- Noting that people and organizations need to challenge assumptions, use data to support discussions, and generate explanations to gain credibility for big data projects.
- Suggesting opportunities exist in breaking down corporate silos and combining different data sources
The document discusses the need for a "Data Commons" platform to foster sharing and analysis of biomedical big data. It describes how such a platform could treat research data, software and methods as digital assets within a shared virtual space. This would allow different parties to find, deposit, manage, share and reuse digital assets. The platform would form the basis of a digital ecosystem enabling interactions between producers and consumers of research outputs. It provides an overview of an NIH pilot project to test initial implementation of a Data Commons through co-locating data and tools on storage and computing infrastructure.
The document discusses how semantic technologies can empower the intelligent enterprise by providing meaningful context and connections across vast amounts of data. It highlights trends toward hybrid human-AI solutions that leverage both manual and automated techniques to generate rich metadata and entity relationships. Finally, it describes how semantic approaches can help organizations gain strategic insights, shorten decision cycles, and power mobility by making relevant information accessible anywhere.
This document discusses big personal data challenges and opportunities for agencies and clients. It defines big data as having three characteristics: volume, variety, and velocity. It notes that 90% of data today was created in the last two years and that data is growing exponentially. It also discusses challenges around privacy and differing privacy concerns by region and age. Finally, it outlines three key opportunities for agencies and clients: 1) personal identity management services, 2) data-enabled solutions and services, and 3) data insight services that leverage big data sets.
Me Data - The Rising Opportunity for Self Optimization Apps Beyond
This document summarizes research on self-optimization apps that track personal data ("Me Data"). Key findings include:
- Users are largely unconcerned with data privacy and willing to share data publicly in exchange for benefits like performance tracking and visualization.
- Motivation for using these apps is mainly self-improvement through goals like better organization, knowledge, and behavior changes.
- Emerging opportunities exist for innovation in apps that optimize new lifestyle areas like productivity, travel, shopping and leisure using personal data.
- Developers should focus on effectively analyzing, storing and visualizing personal data as well as ensuring intuitive user interfaces and accurate, easy-to-use data collection.
"Me Data" The Rising Opportunity for Self Optimization AppsNils Mork-Ulnes
This document discusses the rising opportunity for "self optimization" apps based on a study of personal tracker apps and the sharing of personal data (Me Data). Some key findings are that users are largely unconcerned with privacy and share data publicly to gain benefits from community. Motivation for using apps is mainly self-improvement through goals. This open sharing of Me Data creates opportunities for new apps focused on optimizing lifestyle areas like productivity, travel, shopping and leisure.
Social Data Analytics - Consumer SegmentationKen Burbary
My presentation at #BWELA 2011. Main points are:
1. Learn about the different social data types
2. Learn how to identify social customer segments
3. Learn how to integrate social consumer data with internal customer data
Open Grid Forum workshop on Social Networks, Semantic Grids and WebNoshir Contractor
Workshop organized by David De Roure at the Open Grid Forum XIX. Other participants included Carole Gobler, Jeremy Frey, Pamela Fox.
January 29, 2007, Chapel Hill, NC
Este documento habla sobre los virus informáticos. Explica que los virus son programas maliciosos que infectan otros archivos y sistemas con el objetivo de dañarlos o modificarlos. También describe los diferentes tipos de virus como virus de macros, virus de sobreescritura, virus de boot y más. Por último, ofrece consejos sobre cómo detectar y eliminar virus, incluyendo mantener el antivirus actualizado y escanear archivos sospechosos.
El documento presenta dos problemas relacionados con circunferencias. El primer problema usa las coordenadas de tres puntos (A, B, C) para determinar la ecuación de la circunferencia que pasa por esos puntos. Se resuelve un sistema de ecuaciones para encontrar el centro (8.1103, 7.5) y el radio (4.7172) de la circunferencia. El segundo problema encuentra la ecuación de una circunferencia dado su centro en el punto de intersección de dos rectas y un radio dado. La ecuación resultante es x2 + y2
This document provides an overview and agenda for an April 5th webinar about the linkAges Developer Challenge and Accelerator Project. It discusses the background and goals of the project, which is focused on improving health outcomes and quality of life for seniors. The webinar will cover kickoff details for a weekend event to brainstorm signal detection solutions, the 3-month developer challenge timeline and criteria, and awards for the challenge phases. Participants are encouraged to submit creative ideas that could help proactively support seniors aging independently in their homes and communities.
IWMW 2004: Using your Ayes and Noes: Creating a Business Case for an Institut...IWMW
Slides used in workshop session A4 on "Using your Ayes and Noes: Creating a Business Case for an Institutional Portal" at the IWMW 2004 event held at the University of Birmingham on 27-29 July 2004.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2004/sessions/middleton/
The 347 reported sales of single family homes and condominiums is the highest total ever for the month of January, eclipsing the previous record of 345 set in 2006!
There is only 2.16 months of available inventory for buyers to select from. Generally, 6 months of active inventory is considered to be a balanced market between buyers and sellers!
Dokumen ini memberikan informasi tentang teknik cuci tangan yang benar untuk mencegah penularan infeksi di rumah sakit. Teknik cuci tangan meliputi proses mekanik dan kimiawi untuk menghilangkan bakteri dari tangan dengan menggosokkan sabun dan menggunakan air mengalir selama 5-10 menit. Prosedur cuci tangan meliputi melepas perhiasan, menggulung lengan, menggosok tangan dengan sabun hingga berbusa
En la India y China durante la Edad Media, las matemáticas florecieron. En la India, el período entre los años 500-1200 d.C. fue muy importante para las matemáticas. En este tiempo, Aryabhata introdujo el sistema de numeración posicional decimal y desarrolló conceptos trigonométricos como la función seno. Los indios también adoptaron los números naturales y operaciones como la multiplicación y división. En China, los matemáticos hicieron contribuciones importantes en álgebra, geometría y teoría de números.
The document discusses the progression of Health 2.0 from user-generated health care to partnerships reforming health care delivery to data driving decisions and discovery. It outlines the stages of Health 2.0 and how data from individuals, populations, and references is integrated through a data utility layer to power unplatforms and composite applications that inform decisions and actions.
What happens when data start living their own life?Fing
This document discusses how data is changing and taking on a life of its own. It notes that data used to be ad hoc constructions for programs but is now natively digital and user-generated. This has led to new possibilities for real-time knowledge production but also challenges around managing and making sense of the large amount of diverse data. It suggests data now needs to be meaningful, reliable, consistent, documented, linked, accessible, and reusable across many different contexts.
Health 2.0 refers to the application of Web 2.0 technologies and principles to healthcare, including personalized search tools, online health communities that share information, and new interfaces and analytics that unlock health data. The document outlines the current state of Health 2.0 with search, communities and tools, and predicts future directions such as better integration of these areas and new "unplatforms" that bring together applications and data across different services. The goal is more engaged patients and improved healthcare through leveraging collective knowledge and data.
Gianni Cooreman is a business consultant specializing in big data. He has over 6 years of experience researching technology and 1 year of experience in analytics and strategy. Some of the key topics he discusses in the document include:
- Defining big data as high-volume, high-velocity, and high-variety data that exceeds typical storage and processing capabilities.
- Emphasizing that big data is about solving complex problems faster and more accurately to drive business value.
- Noting that people and organizations need to challenge assumptions, use data to support discussions, and generate explanations to gain credibility for big data projects.
- Suggesting opportunities exist in breaking down corporate silos and combining different data sources
The document discusses the need for a "Data Commons" platform to foster sharing and analysis of biomedical big data. It describes how such a platform could treat research data, software and methods as digital assets within a shared virtual space. This would allow different parties to find, deposit, manage, share and reuse digital assets. The platform would form the basis of a digital ecosystem enabling interactions between producers and consumers of research outputs. It provides an overview of an NIH pilot project to test initial implementation of a Data Commons through co-locating data and tools on storage and computing infrastructure.
The document discusses how semantic technologies can empower the intelligent enterprise by providing meaningful context and connections across vast amounts of data. It highlights trends toward hybrid human-AI solutions that leverage both manual and automated techniques to generate rich metadata and entity relationships. Finally, it describes how semantic approaches can help organizations gain strategic insights, shorten decision cycles, and power mobility by making relevant information accessible anywhere.
This document discusses big personal data challenges and opportunities for agencies and clients. It defines big data as having three characteristics: volume, variety, and velocity. It notes that 90% of data today was created in the last two years and that data is growing exponentially. It also discusses challenges around privacy and differing privacy concerns by region and age. Finally, it outlines three key opportunities for agencies and clients: 1) personal identity management services, 2) data-enabled solutions and services, and 3) data insight services that leverage big data sets.
Me Data - The Rising Opportunity for Self Optimization Apps Beyond
This document summarizes research on self-optimization apps that track personal data ("Me Data"). Key findings include:
- Users are largely unconcerned with data privacy and willing to share data publicly in exchange for benefits like performance tracking and visualization.
- Motivation for using these apps is mainly self-improvement through goals like better organization, knowledge, and behavior changes.
- Emerging opportunities exist for innovation in apps that optimize new lifestyle areas like productivity, travel, shopping and leisure using personal data.
- Developers should focus on effectively analyzing, storing and visualizing personal data as well as ensuring intuitive user interfaces and accurate, easy-to-use data collection.
"Me Data" The Rising Opportunity for Self Optimization AppsNils Mork-Ulnes
This document discusses the rising opportunity for "self optimization" apps based on a study of personal tracker apps and the sharing of personal data (Me Data). Some key findings are that users are largely unconcerned with privacy and share data publicly to gain benefits from community. Motivation for using apps is mainly self-improvement through goals. This open sharing of Me Data creates opportunities for new apps focused on optimizing lifestyle areas like productivity, travel, shopping and leisure.
Social Data Analytics - Consumer SegmentationKen Burbary
My presentation at #BWELA 2011. Main points are:
1. Learn about the different social data types
2. Learn how to identify social customer segments
3. Learn how to integrate social consumer data with internal customer data
Open Grid Forum workshop on Social Networks, Semantic Grids and WebNoshir Contractor
Workshop organized by David De Roure at the Open Grid Forum XIX. Other participants included Carole Gobler, Jeremy Frey, Pamela Fox.
January 29, 2007, Chapel Hill, NC
NetHope World Economic Forum - Data Driven DevelopmentBill Brindley
Presentation by Dr. William A. Brindley, NetHope CEO, to the World Economic Forum's Global Agenda Council on Data Driven Development (Big Data and Socio-Economic Impact); November 2012 in Dubai, UAE
Obama's 2012 reelection campaign leveraged big data analytics to build detailed profiles of potential voters using disparate data sources. They combined this data to create a "single view" of individuals to optimize fundraising, volunteer mobilization, and get-out-the-vote strategies. Predictive modeling was used to score voters by likelihood of donating or voting Democrat. Resources were targeted to persuadable voters in swing states. Regular polling provided insights to track debate impacts and allocate campaign efforts. The campaign's data-driven approach helped achieve record fundraising and turnout in swing states.
The document discusses MaRS Discovery District, a central source of data, benchmarking and insight to drive innovation in Ontario. It focuses on three primary areas: entrepreneurship and innovation, energy, and health. MaRS plans to execute the Innovation Agenda through $3 billion in funding. Two initial pilot areas are ONE Network, consisting of 17 regional innovation centres, and accelerators to benchmark performance data. The goal is to provide public and partner insight through gathering and analyzing data from various sources.
This document discusses various applications of big data across different domains. It begins by defining big data and its key characteristics of volume, variety and velocity. It then discusses how big data is being used in social media for recommendation systems, marketing, electioneering and influence analysis. Applications in healthcare discussed include personalized medicine, clinical trials, electronic health records, and genomics. Uses of big data in smart cities are also summarized, such as for smart transport, traffic management, smart energy, and smart governance. Specific examples and case studies are provided to illustrate the benefits and savings achieved from leveraging big data across these various sectors.
The document discusses how the flow of information is changing as more data becomes openly available through new technologies. It describes four trends: 1) Open data is being used privately as governments and organizations make raw data freely accessible in open formats; 2) Interactive tools are making data simple to understand in real-time; 3) Data is being generated and used to support urban development and infrastructure planning; 4) Examples show how open financial and map data is empowering individuals and communities.
This document discusses data mining techniques for big data. It defines big data as large, complex collections of data from various sources that contain both structured and unstructured data. Big data is growing rapidly due to data from sources like social media, sensors, and digital content. Data mining can extract useful insights from big data by discovering patterns and relationships. The document outlines common data mining techniques like classification, prediction, clustering and association rule mining that can be applied to big data. It also discusses challenges of big data like its huge volume, variety of data types, and rapid growth that require new data management approaches.
EMBL Australian Bioinformatics Resource AHM - Data CommonsVivien Bonazzi
This document discusses the development of the NIH Data Commons, which aims to create a shared framework and infrastructure for biomedical data. It notes the increasing amounts of data being generated and the need for data sharing and interoperability. The Data Commons framework treats data, tools, and publications as digital objects that are findable, accessible, interoperable and reusable. Current pilots include deploying reference datasets in the cloud, indexing data and tools, and a credits system for cloud resources. Challenges discussed include metrics, costs, standards, incentives and sustainability. The framework's relevance for supporting open data in Australia is also addressed.
Similar to Spring Fling San Diego: Health 2.0 101 (20)
Matthew Holt Health 2.0 chapters keynote, Sept 2017Health 2.0
The document discusses how emerging technologies like social media, sensors, mobile devices, analytics and other digital innovations will transform healthcare from episodic care to continuous care. It notes that these changes will require moving beyond a "one size fits all" approach to better serving patients across the health continuum from healthy to acutely ill to chronically ill. Examples are given of new companies in areas like telehealth, wellness, prevention, data management, coaching, monitoring and new models of primary care.
Matthew Holt @ Allscripts Developer Summit 2017Health 2.0
- Funding for digital health startups reached a record $5.5 billion in 2016, shattering previous records. Approximately $1.12 billion was invested in the last quarter of 2016 alone.
- The Health 2.0 database tracks over 5,000 digital health companies across four categories. In the last quarter, 44 new companies were added, with the largest growth in consumer facing and patient-provider communication categories.
- Digital health is evolving through several stages, from user-generated content to partnerships reforming healthcare delivery, and increasingly using data to drive decisions and discovery. A range of new technologies and business models are emerging to serve different patient populations.
The document discusses trends in healthcare including user-generated healthcare, consumers connecting directly with providers, and partnerships to reform healthcare delivery. It focuses on four main topics: wellness 2.0 and prevention through exercise and food; making healthcare cheaper by focusing on high-cost patients, accountable care models, and paying for outcomes; connecting consumers to providers; and the evolution of research through open data, real-time data capture, and crowdsourced information. Data is seen as driving decisions and discovery.
The document discusses the evolution of Health 2.0, which focuses on participatory healthcare where patients can be partners in their own care. It describes how technologies are fusing as patients increasingly guide their own care, including the integration of social networks, search tools, content, and transaction data. Key aspects of Health 2.0 include user-generated health data, consumers connecting with providers, and partnerships to reform healthcare delivery through data-driven decisions and discovery.
User-generated health data from individuals and connected devices, partnerships between organizations to reform healthcare delivery models, and leveraging large amounts of data to drive decisions and discoveries are transforming healthcare. Consumer choice, behavioral incentives, and feedback loops enabled by social networks and mobile technologies encourage preventative health behaviors. Data-driven personalized care models, remote patient monitoring, and participatory research aim to lower costs and accelerate medical innovation.
The document discusses four main topics related to healthcare: user-generated healthcare, consumers connecting to providers, partnerships to reform delivery, and using data to drive decisions and discovery. These topics are focused on wellness, prevention, exercise, food, making healthcare cheaper, and the evolution of research.
The document discusses trends in healthcare including user-generated healthcare, consumers connecting directly with providers, and partnerships to reform healthcare delivery. It focuses on four main topics: wellness 2.0 and prevention through exercise and food; making healthcare cheaper by focusing on high-cost patients, accountable care models, and paying for outcomes; consumers connecting directly with providers; and the evolution of research through open data, real-time data capture, and crowdsourced information. Data is seen as driving decisions and discovery.
Health Data Everywhere: Not a Drop to Link?Health 2.0
The document discusses a panel discussion on health data and its use. The panelists included representatives from Google, PatientsLikeMe, ACOR, and Health and Human Services. They discussed topics like user-generated health data, integrating data from different sources, and using technologies like Kinect to collect health data and assess movement disorders. The overall theme was around the growth of health data from various sources but challenges around linking it together.
Presentation by Dr Aaron McKethan, who's running the Beacon Communities project at ONC. This was the presentation he gave to the Health 2.0 Community in the webinar on July 21
Health 2.0 Europe - Keynote - The Danish National e-Health PortalHealth 2.0
The Danish National e-Health Portal Sundhed.dk provides citizens access to their personal health information and the ability to book appointments, renew prescriptions, and communicate with doctors. It also offers medical information, quality ratings of hospitals, and online support groups for patients. Usage has increased significantly since its launch in 2003. Clinical staff acceptance is high due to time savings from digital health records. Sundhed.dk has received international recognition and its continued funding indicates the owners view it as a success.
Health 2.0 Europe - Keynote - Council for Public Health and Health Care - The...Health 2.0
The document discusses how healthcare providers, insurers, governments, and patients should make greater use of social media and online communities to improve healthcare. It recommends that these groups provide information transparently online, involve patients in policy formulation, fund innovations with added value, optimize patient contact through social media, implement shared care between providers and consumers, and address the digital divide so more people can benefit from online health resources and self-management tools. The goal is to empower patients and put them at the steering wheel of their own healthcare.
Akamai is a leader in powering rich media, dynamic transactions, and enterprise applications online. They have over 3,100 customers and 1,400 employees, and generated $860 million in revenue in 2009. The document discusses how performance, size, security, and location all matter for internet applications. It outlines how Akamai uses their global network of over 60,000 servers across 3,000 locations to optimize content delivery and make the internet more reliable, high-performance, and secure for customers.
Diabeo is a mobile and web-based diabetes management system developed through a scientific collaboration. It allows patients to track glucose readings, carbohydrate intake, insulin doses, physical activity, and share the data with healthcare providers. Clinical studies show Diabeo improves glycemic control without increasing providers' time and patients want to continue using the system.
The Path to Clinical Groupware. by Vince KuraitisHealth 2.0
Presentation by Vince Kuraitis (Better Health Technologies) about Hitech & the path toe Clinical Groupware. Given at Health 2.0 in the Doctor's Office, in Jacksonville, FL, Apr 24, 2010
What does ARRA, HITECH and Meaningful Use mean to youHealth 2.0
The document discusses the concepts of ARRA, HITECH, and Meaningful Use as they relate to adopting and using electronic health records (EHRs) in a meaningful manner. It provides an overview of the regulatory definitions and goals of Meaningful Use, as well as the three main regulations from CMS and ONC that specify requirements and standards. It also summarizes key aspects of the proposed EHR incentive programs for eligible professionals and hospitals, including eligibility, payment amounts and timelines, reporting requirements, and clinical quality measures.
Tales from the Trenches: Implementing an EMRHealth 2.0
The document outlines an agenda for a presentation on the evolution of computers from 4000 BC to 2010. It discusses the early history of computing devices like the abacus and the Harvard Mark I computer. It then covers the current state of the healthcare IT market and challenges like data fragmentation across different systems. The rest of the presentation focuses on strategies for successful implementation of electronic medical records systems, including selecting the right vendor, training staff, and addressing common reasons for IT project failure like lack of planning and physician buy-in.
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
TEST BANK For Community Health Nursing A Canadian Perspective, 5th Edition by...Donc Test
TEST BANK For Community Health Nursing A Canadian Perspective, 5th Edition by Stamler, Verified Chapters 1 - 33, Complete Newest Version Community Health Nursing A Canadian Perspective, 5th Edition by Stamler, Verified Chapters 1 - 33, Complete Newest Version Community Health Nursing A Canadian Perspective, 5th Edition by Stamler Community Health Nursing A Canadian Perspective, 5th Edition TEST BANK by Stamler Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Pdf Chapters Download Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Pdf Download Stuvia Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Study Guide Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Ebook Download Stuvia Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Questions and Answers Quizlet Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Studocu Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Quizlet Test Bank For Community Health Nursing A Canadian Perspective, 5th Edition Stuvia Community Health Nursing A Canadian Perspective, 5th Edition Pdf Chapters Download Community Health Nursing A Canadian Perspective, 5th Edition Pdf Download Course Hero Community Health Nursing A Canadian Perspective, 5th Edition Answers Quizlet Community Health Nursing A Canadian Perspective, 5th Edition Ebook Download Course hero Community Health Nursing A Canadian Perspective, 5th Edition Questions and Answers Community Health Nursing A Canadian Perspective, 5th Edition Studocu Community Health Nursing A Canadian Perspective, 5th Edition Quizlet Community Health Nursing A Canadian Perspective, 5th Edition Stuvia Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Pdf Chapters Download Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Pdf Download Stuvia Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Study Guide Questions and Answers Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Ebook Download Stuvia Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Questions Quizlet Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Studocu Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Quizlet Community Health Nursing A Canadian Perspective, 5th Edition Test Bank Stuvia
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxwalterHu5
In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
Osteoporosis - Definition , Evaluation and Management .pdfJim Jacob Roy
Osteoporosis is an increasing cause of morbidity among the elderly.
In this document , a brief outline of osteoporosis is given , including the risk factors of osteoporosis fractures , the indications for testing bone mineral density and the management of osteoporosis
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
4. Web 2.0:
O’Reilly’s Core Competencies
• Services, not packaged software, with cost-effective
scalability
• Control over unique, hard-to-recreate data sources that get
richer as more people use them
• Trusting users as co-developers
• Harnessing collective intelligence
• Leveraging the long tail through customer self-service
• Software above the level of a single device
• Lightweight user interfaces, development models, AND
business models
17. “...Social software and lightweight tools that promote collaboration between...
stakeholders”
- Matthew Holt and Jane Sarasohn-Kahn
“... all the constituents focus on health value…improving safety, efficiency
and quality of healthcare”
- Scott Shreeve
"health 2.0 is participatory healthcare... we the patients can be effective
partners in healthcare.”
- Ted Eytan
18. What is Health 2.0?
Personalized Search
Communities
Intelligent Tools
Integration of data with content
Technologies fusing as patients increasingly guide
their own care.
25. Last year, we told you
what was coming next...
• Integration of the three constituent parts
(search, communities, tools—all mash up)
• The data utility layer allows easy inclusion of
same data between different services (liquidity)
• Greater diversity in data types
• The emergence of new “unplatforms”
26. The Stages of Health 2.0
User-generated Consumers connect Partnerships to Data drives decisions
health care to providers reform delivery & discovery
70. Content
Social
Networks
Search
Tools
Transaction
Data
71. Content
Social
Networks
Search
Tools
Transaction
Data
Editor's Notes
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Search is most important - money/people.  Transactions data locked in databases, but not put together with content. When we combine the two - that's useful for consumers or professionals.\n
Search is most important - money/people.  Transactions data locked in databases, but not put together with content. When we combine the two - that's useful for consumers or professionals.\n
Instead of just google, we’re looking to find guaranteed accurate content\n