Artificial Intelligence

From the Crow’s Nest: The Search for Perfect Health Data Exchange

By Michael B. Marchant, Director – Interoperability & HIE, UC Davis Health It is 2025; you are on your way to a 10 am appointment with your PCP (primary care provider). You receive a text with a link to their ...
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Delivering Technology in a Rapidly Changing Ecosystem

By Pete D’Addio, Director, Enterprise Technology, Moffitt Cancer Center Every day there is a new need for technology. New use cases and opportunities continue to challenge the status quo, if the status quo as we know still exists. The iPhone, ...
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Health Technology Support for Population Health and Data Integration

By Dr. Patrick Dunn, Program Director, American Heart Association Center for Health Technology and Innovation Population health is a key part of the American Heart Association’s mission of being a relentless force for a world of longer and healthier lives ...
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Leveraging Augmented Intelligence To Improve Medical Imaging and Patient Outcomes

By Dr. Joseph Siryani, Director, Head of Enterprise Analytics, MedStar Health As healthcare systems enter the era of unprecedented technological advances, healthcare executives may tap into an overwhelming number of state-of-the-art solutions that enable driving their digital transformation strategies forward ...
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Optimizing EHR value, documentation quality, and physician and patient experiences with Ambient AI

By Craig Richardville, SVP, Chief Information and Digital Officer, SCL Health One of the more interesting challenges that health system IT executives face today is evaluating and prioritizing new clinical applications for AI. Among the rapidly expanding number of innovations ...
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Using AI and Big Data to Improve Medical Imaging and Care Outcomes

By Sunil Dadlani, SVP & CIO, Atlantic Health System As health systems navigate their way through an unparalleled age of technological advancement, CIOs can tap into an overwhelming number of state-of-the-art solutions capable of driving their digital transformation strategies forward ...
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The current state of AI in Radiology

By Steven L Blumer, Associate Medical Director of Radiology Informatics, UPMC There has been much hype surrounding the potential of AI to disrupt healthcare and especially the field of radiology. Many radiologists have become concerned about being replaced by AI ...
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Managing the Evolving Data Landscape in Cancer Care and Research

By Theodora Bakker, Director, Data Stewardship and Integration and Atti Riazi, SVP & CIO, Memorial Sloan Kettering Cancer Center Atti Riazi, SVP & CIO With a heavy concentration on translational and clinical research at Memorial Sloan Kettering Cancer Center (MSK), ...
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Imbio-Helping the population breathe with patient-centered AI solutions

An estimated 25 million people in the U.S. suffer from various lung diseases, some of which can be life-threatening. And unfortunately, far too many people are unaware of their lung condition. It’s estimated that only 50 percent of patients living ...
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New AI System Focuses on the Patients Instead of Note Taking

By Dr. Lance M. Owens, CMIO, Metro Health – University of Michigan Health If one thing can stand between patient and provider during a visit, it is the computer. That’s no criticism of the integration of digital tools, which have ...
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Artificial Intelligence (AI) is a recent advancement in technology that uses intelligent machine learning (ML) algorithms and natural language processing (NLP) to make a machine think and act like a human, predict and respond to actions based on available data. Large amounts of data are getting generated every day in almost all industries. AI helps realize the value of scattered, unused, unattended data by comparing the data patterns (similarities and differences) and turning them into meaningful, valuable information. Basically, it supports humans by interpreting the data. Though AI finds its application in all the industries these days, its role in healthcare is crucial since it helps providers deliver the best care a patient needs. AI helps healthcare providers and payers by automating tedious manual processes, which requires minimum to no human intervention. From appointment scheduling using chatbots or Conversational AI, clinical documentation, and administrative workflow to disease diagnosis, treatment and prevention processes, image recognition, drug research, its applications produce error-free reports with minimal investment. AI-based or AI-assisted applications are widely being used in the healthcare industry.