Jeff Galles, DO discusses how Utica Park Clinic is preparing to take on risk, and how Watson Health supports the patient outreach needed for CPC+.
With the use of big data, it’s possible to build models around predicting future events and outcomes, utilization, and overall risk. In this whitepaper, learn more about predictive models in healthcare practice, next generation analytics in cognitive and deep learning, and how to implement predictive models into clinical workflow.
Healthcare models are undergoing a profound transformation. This is due to a number of factors, including aging populations, individuals’ expectations and changes in how providers deliver care. Consequently, there is increasing pressure on the industry to change and refine the way it delivers care.
The way Americans pay for healthcare has always been a controversial topic. And now it’s undergoing the most significant change in history. It’s a change that could provide substantial benefits to patients and health providers alike, but it’s also extremely complex.
Over the last few years, Cincinnati Children’s Hospital Medical Center’s (CCHMC) enterprise imaging strategy has been simmering. After starting with radiology and cardiology, the hospital is preparing to add images from across all ‘ologies and fully bring its enterprise archive to a boil.
The ophthalmology industry is quickly evolving, shaped by factors such as increasing global demand and significant advancements in imaging technology. Staying on top of these changes and securing the best tools and strategies to address them is critical to the success of any industry provider, and Singapore National Eye Centre (SNEC) is no exception.
Smartphones and other mobile devices are becoming just as common in the hands of clinicians as they are in the hands of today’s teenagers. “Dermatologists, emergency room physicians, ophthalmologists, plastic surgeons and other physicians routinely utilize smart devices to document clinical disorders and pathologies.
The role of medical imaging in global health systems is literally fundamental. Like labs, medical images are used at one point or another in almost every high cost, high value episode of care. Echocardiograms, CT scans, mammograms, and x-rays, for example, “atlas” the body and help chart a course forward for a patient’s care team.
Advances in oncology research over the past two decades have been immensely encouraging. However, with new medical literature being published so frequently, this plethora of information poses its own challenges for oncologists.
The US spends approximately $3 trillion annually on healthcare services such as prescription drugs and insurance. A significant chunk of this figure is lost to healthcare waste that occurs as a result of duplicative services, misdiagnosed patients, unnecessary hospital visits, and other reasons.
Watson Health and Pfizer Inc. today announced a collaboration that will utilize IBM Watson for Drug Discovery to help accelerate Pfizer’s research in immuno-oncology, an approach to cancer treatment that uses the body’s immune system to help fight cancer.
As the CPC+ program requires the provision of claims-based cost and utilization data at the practice and patient-level, IBM Watson Health™ tools and solutions are primed to manage claims-based data and support opportunities for improving utilization.