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Imad B. Nijim

Chief Information Officer. Mr Nijim is a healthcare informatics expert whose focus is driving continuous advancement at the intersection of radiology and the IT systems that support it. His innovative solutions are helping enhance imaging accuracy, reporting and workflows across multiple disciplines, including oncology, cardiology, general diagnostics, ECG management and enterprise data archiving and management. A seasoned traveler, Mr. Nijim has visited more than 25 countries, both for personal enrichment, and professionally as director of international software development, deployment, localization and translation teams.

Rad Results: The mobile app that connects radiologists with the patient care team

Originally published by Michael Walter on Radiology Business

In radiology, it is vital for radiologists to connect with the entire patient care team in a seamless and timely manner.

Imaging providers have done this over the years through such tools as land lines, pagers, fax machines and integrating with the electronic medical record (EMR). Some radiology practices even have their own secure client portal for this very purpose.

But times are changing. Communication among healthcare providers is more complicated now than ever. Radiologists are working on a broader array of technology platforms from diverse locations, including from home. Care teams are getting larger with an increasing need for near real-time communication. The old ways of delivering radiology results are imperfect for this new era of modern medicine. One dropped connection or wrong number can cause wasteful delays and even harmful outcomes.

New Radiology AI Models Reduce Time to Care

Accelerating care delivery

I am pleased to share that vRad has deployed two additional Artificial Intelligence (AI) models to our imaging platform, bringing the total to seven active models helping patients right now.

The first new model identifies pneumoperitoneum in chest CTs, and the second model identifies testicular torsion in ultrasound scans. Both conditions are critical, and timely diagnoses will have a positive impact on patient outcomes. As with all our innovation and product development, our models are immediately available to clients as part of our AI-enhanced on-the-ground and in-the-cloud radiology solutions.

How we successfully put AI models to work for our radiologists

Two components are essential to successfully establish, develop and sustain applied AI in radiology: Uncompromised collaboration between radiologists and computer scientists, and access to a constant flow of data that is representative of a highly diverse population. This is the foundation of vRad Radiology AI.

How AI is helping ensure reporting accuracy and compliance

At vRad, AI is helping manage regulatory compliance and adherence to best practices to ensure quality care, which should avoid unnecessary medical expenses and mitigate malpractice risk.

Beyond the hype: How practical AI is enhancing radiology

Moving past the initial media hype, practitioners are beginning to demonstrate how AI applications can enhance the ability of radiologists to support better patient outcomes.

Blending Technology Innovations and Clinical Services | Why I joined MEDNAX Radiology Solutions

As the CIO of Radiology at MEDNAX and vRad, I cannot help but reflect on the history of imaging informatics – and look ahead to the future innovations that emerging technology will bring.