See how healthcare organizations are using data science in order to get a firm grasp on the different flavors of artificial intelligence and how they can apply to specific use cases.
Using predictive analytics, the healthcare industry is combining real-time patient information along with traditional medical data, to diagnose patients before it typically would using traditional methods.
Check you how advancements in AI (artificial intelligence), big data analytics, mobile technology, and cloud computing have started to enable patients to take greater control of their medical care, leading towards a major shift in the patient-physician relationship.
Informative article on the Top 4 Machine Learning Use Cases for Healthcare Providers.
In the ever evolving healthcare industry, the following Ted-talk discusses the critical ways machine learning is savings lives through earlier detection of illnesses.
Feeling Sick today? Heard something was “going around”?
We’ll these 2 companies are making it easy for all of us to instantly see on a local map what’s “going around” use from an illness perspective (viruses, allergies, etc.). This can help us avoid or diagnose the illness quicker and get on with our daily lives. Read More
There are three major areas where big data is revolutionizing health care.
It’s is allowing health care to be better, smarter and cheaper. Here’s how Read More..
The partnership lets Inovalon, which analyzes large volumes of data to automatically suggest tests or care options to healthcare providers, mine Allscript’s millions of patient records in addition to existing databases. Read More…
The DATA SCIENCE REPORT wants to get the word out on “big data” companies doing things that will impact all of us personally. In this SPOTLIGHT, we take a look at CollabRX (Symbol: CLRX). Read More…
Improving Financial Outcomes With Data Analytics Rene Letourneau, for HealthLeaders Media , August 13, 2013 This article appears in the July/August issue of HealthLeaders magazine. As healthcare becomes increasingly data-driven, provider organizations find themselves inundated with more information than ever before. Figuring out what to do with all the data may not be easy, but for healthcare finance […]