AI と Azure サービスで言語にまつわる課題を克服
2019年8月8日
アメリカ合衆国の往年のお笑いコンビAbbott and Costello のネタ「Who's on first (一塁手はだれ)」をご存じでしょうか。 アメリカ英語のユーモアの傑作です。しかし、これを別の言語に翻訳したらどうなるでしょうか。英語圏の人々なら笑ってしまう箇所の大半は、逐語訳では意味が通じなくなってしまいます。
投稿者: David Houlding
Helping move healthcare organizations to Azure
2019年7月1日
Today’s healthcare organizations are expected to be agile, reduce costs, and direct capital toward revenue generating activities that improve patient outcomes.
Solving the problem of duplicate records in healthcare
2019年6月27日
As the U.S. healthcare system continues to transition away from paper to more a digitized ecosystem, the ability to link all of an individual’s medical data together correctly becomes increasingly challenging. Patients move, marry, divorce, change names and visit multiple providers throughout their lifetime, with each visit creating new records, and the potential for inconsistent or duplicate information grows.
Using natural language processing to manage healthcare records
2019年6月25日
The next time you see your physician, consider the times you fill in a paper form. It may seem trivial, but the information could be crucial to making a better diagnosis. Now consider the other forms of healthcare data that permeate your life—and that of your doctor, nurses, and the clinicians working to keep patients thriving.
Simplify B2B communications and free your IT staff
2019年6月13日
Today’s business data ecosystem is a network of customers and partners communicating continuously with each other. The traditional way to do this is by establishing a business-to-business (B2B) relationship.
Empowering clinicians with mobile health data: Right information, right place, right time
2019年6月4日
Improving patient outcomes and reducing healthcare costs depends on healthcare providers such as doctors, nurses, and specialized clinician ability to access a wide range of data at the point of patient care in the form of health records, lab results, and protocols.
Enabling precision medicine with integrated genomic and clinical data
2019年4月1日
Precision medicine tailors a patient's medical treatment by factoring in their genetic makeup and clinical data.
Security for healthcare through cloud agents and virtual patching
2019年1月24日
Healthcare organizations depend on data-driven decisions. To enable better decisions and better health outcomes, healthcare organizations are moving to the cloud. There, the latest advances in artificial intelligence, machine learning, and analytics can be more easily tested and implemented.
How pharma sales operations benefit from centralizing data and process integration
2018年12月6日
Pharmaceutical companies need to meet demanding sales goals, manage intricate regulatory compliance, and maintain a competitive hold on the market.
Accelerating AI in healthcare: Security, privacy, and compliance
2018年10月16日
Healthcare is drowning in data. Every patient brings a record that could span decades, with x-rays, MRIs, and other data that can affect every decision. Providers and payers bring their own…