Ever hear the Abbot and Costello routine, “Who’s on first?” It’s a masterpiece of American English humor. But what if it we translated it into another language? With a word-by-word translation, most of what English speakers laugh at, would be lost.
Today’s healthcare organizations are expected to be agile, reduce costs, and direct capital toward revenue generating activities that improve patient outcomes.
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.
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.
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.
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.
Precision medicine tailors a patient’s medical treatment by factoring in their genetic makeup and clinical data.
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.
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.
