Precision medicine is a game changer for patients and caregivers. It enables clinicians to personalize care plans and treatment protocols for each individual patient, and not take a one-size-fits-all approach. One of the next big opportunities for healthcare technology is to find ways to apply genomic and proteomic information to improve patient care. Even though the human genome project concluded about 14 years ago, we’re still not using broad-scale, genomic-based decisions and protocols in health care today. Why not? Because genome sequencing has traditionally been expensive, incomplete and time-consuming.  Perhaps the biggest problem for clinicians was deriving meaning from about 3 billion base pairs of proteins found in the human genome. In addition, that meaning, once derived, has not been available to them in their clinical workflows. But that’s changing, thanks to significant advances in technology and computing power, which […]

Healthcare organizations are eager to address the rising problems of chronic diseases. They’re collecting a lot of data, adding analytics and even using genetic sequencing to spot potential health risks across patient populations. But are these strategies moving the needle on population health management? I address this question in a recent article with co-author Dr. Rasu Shrestha, vice president of medical information technology at University of Pittsburgh Medical Center (UPMC). The answer: Yes, but we have a ways to go. 3 steps to gain better insights from data Chronic diseases – such as heart disease, stroke, cancer, diabetes and arthritis – are among the most common, costly and preventable of all health problems. Caregivers recognize that harnessing data is key to managing the health of patients, especially those with chronic disease. Healthcare organizations need to focus on three areas to […]