When it comes to defining healthcare quality, the opinion of the patients might be the most important of all. They are, after all, the ones on the receiving end of care. When you strip away the financial concerns, the administrative politics and all the other things that make healthcare a business, we remember that the end is that we will provide care to patients in need. Their experience of that care, when quantified, can give providers and hospitals a baseline evaluation of their strengths and weaknesses as a healthcare organization.
Healthcare technology is changing faster than most organizations can keep up. What are you doing to comply? Healthcare technology is a rapidly changing field. Some of the changes are required to comply with current regulations while others are to gain a competitive advantage. Lets’ delve into a few of these areas.
Can Google Make Us Live Forever? What is ‘Google Calico’ and What Does It Have To Do With Modern Healthcare?
You may recall some murmurings last year about a new Google venture cryptically called Calico. In the heyday of 23andMe, Apple’s many health apps and the hefty focus on technology in healthcare, Google wasn’t about to miss out on the hoopla. But just as soon as we started hearing chirps about “Google’s war on aging”, it sunk into the deep obscurity of the web.
One of the most costly and complex elements of today's healthcare system is prescription drugs. For each state, there are tools and resources for hospitals to review prescription drug use and make sure it's in line with Medicare's program.
The pay for performance model of payment has been the preference of health insurance companies for several decades. Previous models made it too easy for money to be paid for services that were not truly needed, were poorly documented or in some cases, were entirely fabricated for the purpose of payment. Pay for performance measures are meant to validate payments to physicians in accordance with The Affordable Care Act by using data mining techniques to keep tabs on physician costs.
The term “Big Data” has only recently entered the healthcare and medicine verbiage. It used to be largely reserved for the larger-than-life scientific research that spanned the entirety of the universe. It’s no surprise that the concept of Big Data has translated nicely to the universe inside of us.
ICD-10 was delayed once again as part of a bill that was meant to fix the physician reimbursement issues with Medicare. The ICD-1o delay was merely a footnote in a jam-packed bill that was going to make many doctors very happy; incidentally, pushing out the date for ICD-10 implementation also pleases many physicians. Some have gone so far as to say, on record, that ICD-10 lacks clinical value.
Yesterday the House of Representatives voted on a bill that included a proposal for delaying the implementation of ICD-10 for another year, bringing the compliance date to October 2015. Hospitals nationwide are in the throes of gearing up for the implementation deadline in October of this year, a mere six months away. While some who are not in healthcare may view the delay as a sign of relief, those who have been spending time and money on the implementations are not sighing so much as groaning at the possibility of pushing the deadline out further.
The need for more and more data has created an epidemic called "Big Data". Big Data refers to our society as a whole trying to obtain as much information as possible on every subject imaginable.