20151104 health2.0 in Japan - clinical big data and subjectsNaotoKume
Japanese slides:
Current state of EHR development in Japan. Nation-wide EHR.
医療現場にあるビッグデータとその課題
Health 2.0 Day1
https://health2.medpeer.co.jp/program.html#A04
20151104 health2.0 in Japan - clinical big data and subjectsNaotoKume
Japanese slides:
Current state of EHR development in Japan. Nation-wide EHR.
医療現場にあるビッグデータとその課題
Health 2.0 Day1
https://health2.medpeer.co.jp/program.html#A04
Healthcare situations, burdens and solutions for Asia-Pacific. Report by EIU, sponsored by Janssen.
For more information, please visit: http://www.economistinsights.com/healthcare/analysis/shifting-landscape-healthcare-asia-pacific
Comparison of Pfizer, Novartis, Bayer, Genentech and Other Top Pharmaceutical...Unmetric
Take a deep dive in to the social media habits of top pharmaceutical companies like Pfizer, Merck, Bayer, Novartis and other top companies. Discover the social media strategies that helped drive engagement and allow them to connect to audiences on Facebook in the third quarter of 2015.
In highly regulated healthcare environments, mobile technology advancements enable greater -flexibility, portability, interactivity and better patient care than ever before. This infographic presents different use cases for the latest technologies.
Y Combinator の考え方を中心にした技術系スタートアップの資金調達 & ピッチ入門のドキュメントです。
ネットで検索すると「良いピッチのスライド構成」や「資金調達の仕組みの解説」などは色々出てくるのですが、「起業家側がどういうタイミングで、どうやれば資金調達の交渉がうまく進むのか」みたいな記事はあまりなかったので、まああってもいいのかなと思って書きました。Y Combinator や Paul Graham の考え方が中心です。
4 Best Practices for Analyzing Healthcare DataHealth Catalyst
Meaningful healthcare analytics today generally need data from multiple source systems to help address the triple aim cost, quality, and patient satisfaction. Once appropriate data has been captured, pulled into a single place, and tied together, then data analysis can begin. In this article I share 4 ways to enable your analyst including providing them with
1) a data warehouse
2) a sandbox
3) a set of discovery tools
4) the right kind of direction.
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingHealth Catalyst
Health system leaders have questions about big data: When will I need it? How should I prepare? What’s the best way to use it? It’s important to separate the hype of big data from the reality. Where big data stands in healthcare today is a far cry from where it will be in the future. Right now, the best use cases are in academic- or research-focused healthcare institutions. Most healthcare organizations are still tackling issues with their transactional databases and learning how to use those databases effectively. But soon—once the issues of expertise and security have been addressed—big data will play a huge role in care management, predictive analytics, prescriptive analytics, and genomics for everyday patients. The transition to big data will be easier if health systems adopt a late-binding approach to the data now.
as new voluntary requirements such as iso45001/jisc45001 and health score report are implemented in 2nd half of 2018, any business entities operating in Japan will conform to these requirements. Integrating operation with both already implementing management systems and financially connected health insurance services are challenging.
Health IT actions in japansese public sector 2013-2017Yasuji Suda
summary of 5 years healthcare it related programs in Japanese public sector using text analysis to visualize relation among reports describing healthcare IT.
Healthcare situations, burdens and solutions for Asia-Pacific. Report by EIU, sponsored by Janssen.
For more information, please visit: http://www.economistinsights.com/healthcare/analysis/shifting-landscape-healthcare-asia-pacific
Comparison of Pfizer, Novartis, Bayer, Genentech and Other Top Pharmaceutical...Unmetric
Take a deep dive in to the social media habits of top pharmaceutical companies like Pfizer, Merck, Bayer, Novartis and other top companies. Discover the social media strategies that helped drive engagement and allow them to connect to audiences on Facebook in the third quarter of 2015.
In highly regulated healthcare environments, mobile technology advancements enable greater -flexibility, portability, interactivity and better patient care than ever before. This infographic presents different use cases for the latest technologies.
Y Combinator の考え方を中心にした技術系スタートアップの資金調達 & ピッチ入門のドキュメントです。
ネットで検索すると「良いピッチのスライド構成」や「資金調達の仕組みの解説」などは色々出てくるのですが、「起業家側がどういうタイミングで、どうやれば資金調達の交渉がうまく進むのか」みたいな記事はあまりなかったので、まああってもいいのかなと思って書きました。Y Combinator や Paul Graham の考え方が中心です。
4 Best Practices for Analyzing Healthcare DataHealth Catalyst
Meaningful healthcare analytics today generally need data from multiple source systems to help address the triple aim cost, quality, and patient satisfaction. Once appropriate data has been captured, pulled into a single place, and tied together, then data analysis can begin. In this article I share 4 ways to enable your analyst including providing them with
1) a data warehouse
2) a sandbox
3) a set of discovery tools
4) the right kind of direction.
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingHealth Catalyst
Health system leaders have questions about big data: When will I need it? How should I prepare? What’s the best way to use it? It’s important to separate the hype of big data from the reality. Where big data stands in healthcare today is a far cry from where it will be in the future. Right now, the best use cases are in academic- or research-focused healthcare institutions. Most healthcare organizations are still tackling issues with their transactional databases and learning how to use those databases effectively. But soon—once the issues of expertise and security have been addressed—big data will play a huge role in care management, predictive analytics, prescriptive analytics, and genomics for everyday patients. The transition to big data will be easier if health systems adopt a late-binding approach to the data now.
as new voluntary requirements such as iso45001/jisc45001 and health score report are implemented in 2nd half of 2018, any business entities operating in Japan will conform to these requirements. Integrating operation with both already implementing management systems and financially connected health insurance services are challenging.
Health IT actions in japansese public sector 2013-2017Yasuji Suda
summary of 5 years healthcare it related programs in Japanese public sector using text analysis to visualize relation among reports describing healthcare IT.