data analytics

As much as 30% of the entire world’s stored data is generated in the health care industry. A single patient typically generates close to 80 megabytes each year in imaging and electronic medical record (EMR) data. This trove of data has obvious clinical, financial, and operational value for the health care industry, and the new value pathways that such data could enable have been estimated by McKinsey to be worth more than $300 billion annually in reduced costs alone. If appropriate investments in data science are not made in-house, then hospitals and health systems will run the risk of becoming reliant on outsiders to analyze the data that ultimately will be used to inform decisions and drive innovation”...

Read More »

At the Government Health IT Conference & Exhibition 2013 next week, the apex of all the tracks, breakout sessions and likely hallway conversations will be engaging patients while lowering care costs. Read More »

Because MEDgle could make the difference between life and death, I found myself pestering Damle for details. I discovered what it takes to collect copious amounts of raw data from obscure journals and exotic databases and create sophisticated probability algorithms, while making it useful to help nurses, doctors and others diagnose, triage, and treat flesh-and-blood people.
Read More »

Simply put, 2014 is a big year for electronic health record vendors. They must adhere to stricter standards under the federal government's meaningful use program while convincing healthcare providers that they can meet future needs for information exchange, patient engagement and data analytics. Not everyone will make the cut. Read More »

One of the lesser understood aspects of what you can do with massive stockpiles of data is the ability to use data that would traditionally have been overlooked or in some cases even considered rubbish. This whole new category of data is known as "exhaust" data—data generated as a by-product of some other process...

Read More »