Overcoming language difficulties with AI and Azure services
Ever hear the Abbot and Costello routine, “Who’s on first?” It’s a masterpiece of American English humor.
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Helping move healthcare organizations to Azure
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
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. -
Using natural language processing to manage healthcare records
The next time you see your physician, consider the times you fill in a paper form. -
Simplify B2B communications and free your IT staff
Today’s business data ecosystem is a network of customers and partners communicating continuously with each other. -
Empowering clinicians with mobile health data: Right information, right place, right time
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
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
Healthcare organizations depend on data-driven decisions. -
Blockchain as a tool for anti-fraud
Healthcare costs are skyrocketing. In 2016, healthcare costs in the US are estimated at nearly 18 percent of the GDP! Healthcare is becoming less affordable worldwide, and a serious chasm is widening between those that can afford healthcare and those that cannot.