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University of Miami Health System to Maximize Patient Care with New Aidoc AI Technology

AI-driven diagnostic imaging and care coordination to streamline physician workflows for timely and efficient patient care.

UHealth—University of Miami Health System announced the launch of a system-wide AI deployment across the organization’s facilities powered by Aidoc, a pioneer in artificial intelligence.

UHealth radiologic Alexander McKinney, M.D.
Alexander McKinney, M.D., says Aidoc technology will improve patient care.

UHealth will have access to Aidoc’s AI technology and platform to support the health care leader’s mission of delivering high-quality, compassionate care.

The technology uses AI to identify suspected findings early in the care process, coordinate workflows and support continued care beyond diagnosis.

“By combining our physician expertise with Aidoc’s AI technology, our goal is to be able to provide even more timely and precise care to our patients, ultimately improving their overall health care experience. We intend to move AI up to the ‘point of care’ and even the ‘point of scan,’” said Alexander McKinney, M.D., Shapiro professor and chair of the Department of Radiology at the University of Miami Miller School of Medicine.

Technology Drives Optimum Health Care Workflows

UHealth will integrate Aidoc’s 13 FDA-cleared algorithms and pathway-optimized workflow technologies designed to identify a wide range of suspected acute abnormalities in patient scans. Aidoc’s platform, the aiOS™, flags these abnormalities and expedites the triaging process for physicians, then facilitates seamless coordination among cross-specialty medical teams. Collectively, these solutions help ensure patients receive timely and precise care when and where they need it most.

For instance, when a patient arrives at the emergency department and receives a CT scan to assess injury or source of pain, Aidoc’s AI deploys its comprehensive algorithm suite based on visible anatomy. The technology discerns both suspected and unsuspected findings from various data sources, helping physicians prioritize cases that may require prompt decision-making and ensuring all flagged medical conditions are reviewed by the care team for potential next steps.

Aidoc’s AI then facilitates the connection between the care team and the patient for immediate follow-up care.

Other Aidoc AI solutions have already been deployed throughout UHealth facilities, including algorithms for pulmonary embolism, incidental pulmonary embolism and intracranial hemorrhage. Additionally, UHealth has introduced Aidoc’s solutions for care coordination and patient follow-up management.

Aidoc is actively engaged in the deployment of its more than 20 solutions throughout the UHealth system, including brain aneurysm, c-spine fracture and brain vessel occlusion (including both large-vessel and medium-vessel occlusions).

Empowering Patients and Providers with Rapid Point-of-Care AI Deployment (POC-AID)

Patients will no longer need to wait for post-exam findings. Instead, within just five minutes, UHealth teams will have the ability to harness the power of Aidoc’s AI to analyze imaging results and provide real-time insights.

POC-AID enhances efficiency and empowers patients and health care providers with immediate, data-driven decision making at the point of care and immediately following a CT scan, ensuring a quick and responsive patient experience.

“UHealth is staunchly focused on elevating the patients and health care provider’s experience to a new level of efficiency and personalization,” stated Elad Walach, C.E.O., Aidoc. “By providing real-time AI insights at the point of care via our collaborative POC-AID initiative, UHealth is fundamentally reshaping health care delivery.”

All of this is made possible through Aidoc’s aiOS™, a proprietary operating system that seamlessly integrates with existing IT systems, electronic health records, data management, and reporting processes. Moreover, the aiOS™ is highly adaptable, ensuring that UHealth can scale and evolve its AI capabilities in response to the evolving needs of patient care.

Dr. McKinney has presented the POC-AID initiative at national and regional forums. UHealth and Aidoc share a steadfast commitment to innovation and research and are dedicated to exploring new frontiers in AI applications to enhance the patient experience. This collaboration is poised to empower care teams, enabling them to maintain their unwavering focus on delivering outstanding outcomes to all UHealth patients.

Tags: AI, Department of Radiology, Dr. Alex McKinney, technology