Many radiology practices talk about visionary AI, but there are only a few implementing AI into their workflows.
In my latest blog post with MEDNAX Radiology Solutions I discuss how together with my colleague, Imad Nijim, CIO at MEDNAX Radiology Solutions, we led the development of the AI model validation functionality within MIP.
Director of Software Engineering – Machine Learning & DevOps, vRad Mr. Baker is committed to enhancing patient care through process improvement and technological innovation. He leads the vRad team responsible for the industry’s most advanced radiological workflow system, including the design, development and integration of leading-edge AI applications. He promotes a collaborative culture as the foundation of these systems that help radiologists provide diagnostic insights more efficiently and effectively every day.
Because I work as a teleradiologist, I (thankfully) no longer have to commute to get to work. Living in southern California, traffic is one of the things I do not miss at all. I used to spend a lot of time behind the wheel driving to the hospital where I worked, thinking of ways I could make my commute faster and more efficient. Admittedly, I’m a bit obsessive when it comes to time and efficiency, especially in the way I work.
This post was originally going to be about my experience as a mammography technician transitioning to telemammography. But after I started writing, I realized that the real story is about women’s health and the difference we healthcare professionals can make in their lives through the decisions we make. From the compassion we show to the technologies we use, our actions impact every touchpoint in the patient’s experience.
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