While a human skill-set tends to boast many different valuable elements, one that sticks out the most is how we are always trying to get better. You see, when someone is pursuing progression under all possible situations, they end up giving themselves a fair shot at achieving a host of significant milestones. However, if we dig into the milestones we have clocked so far and assess them on a granular level, we’ll see that literally none come anywhere near technology. This is because technology, right from the get-go, promised us a reality which was bigger and better than everything we had seen before. Such an unprecedented dynamic, like you can guess, would go on to trigger a massive shakeup across the board, and one area that experienced the stated overhaul at length was our healthcare sector. Healthcare and technology’s linkup was a pivotal development, considering it came when the sector was struggling against an outright obsolete structure. By reinventing core methods, the creation was successful in getting the sphere a much-needed breakthrough. In fact, even after doing so, it will continue to deliver all the right goods, and the latest example of the same is provided to us through a strategic partnership.
K Health, a New York-based healthcare startup, has officially partnered with industry-giant Mayo Clinic, as the two organizations gear up for addressing the need of personalized hypertension treatment. According to certain reports, the partnership will see K Health’s algorithm become the centerpiece of a predictive model, which is going to be dedicated towards making hypertension treatments more sustainably accurate. This predictive model will notably pull data and real-time insights from Mayo Clinic Platform_Discover, a collection of de-identified datasets collected from over 10 million patients. Interestingly enough, the stated datasets are made up from more than 1.2 billion lab results, 3 million echocardiograms, and over 640 clinical notes. With such a vast pool of intelligence at their disposal, the clinicians are expected to predict, and consequentially, propose the best possible medication plan, as well as general lifestyle approach to each patient.
“Powered by the knowledge and analytical tools provided by Mayo Clinic Platform_Discover, K Health is deriving key insights and demonstrating the power of technology to improve and accelerate better, more personalized care for as many people as possible,” said Steven Bethke, Vice President Product Portfolio, Mayo Clinic Platform. “Starting with hypertension, K Health’s clinical and data science teams will unlock innovation using Mayo Clinic Platform_Discover to create a novel way to reduce the time between the diagnosis and treatment.”
To get the ball rolling, K Health will first make the algorithm available to around 300 clinicians. The company will then examine the results by comparing them to the outcomes achieved by clinicians who are not using the predictive model. Nevertheless, there is serious optimism in the air, and if everything goes as per the plan, the two organizations can explore similar collaborations for answering other medical questions as well.