Artificial Intelligence

Dr. Joseph Siryani, Director, Head of Enterprise Analytics, MedStar Health

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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Craig Richardville, SVP, Chief Information and Digital Officer, SCL Health

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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Sunil Dadlani, SVP & CIO, Atlantic Health System

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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Steven L Blumer, Associate Medical Director of Radiology Informatics, UPMC

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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Theodora Bakker, Director, Data Stewardship and Integration and, Memorial Sloan Kettering Cancer Center

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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David Hannes, Imbio’s CEO

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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Dr. Lance M. Owens, CMIO, Metro Health – University of Michigan Health

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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Valmeek (Vick) Kudesia, VP Clinical Informatics and Advanced Analytics, Commonwealth Care Alliance

Humanizing Uses of Data

Wider Inclusion of Social Determinants of Health By Valmeek (Vick) Kudesia, VP Clinical Informatics and Advanced Analytics, Commonwealth Care Alliance® “I’m a doctor and an engineer. I build things to take care of people.” The first overnight of my medical ...
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Prabhu Kottapu, Director of Data Science & Analytics, Springfield Clinic

Flawed Humans Create Flawed AI, Even in Healthcare

By Prabhu Kottapu, Director of Data Science & Analytics, Springfield Clinic Artificial Intelligence (AI) is now playing a significant role in the applications we use every day or the websites we go to. YouTube, Facebook, and even Google use some ...
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Michael Zelenetz, Director Data Management and Analytics, White Plains Hospital

The Peak of EMR Despair

By Michael Zelenetz, Director Data Management and Analytics, White Plains Hospital We are at the peak of electronic medical record (EMR) despair. We were promised a utopian future where EMRs would improve communication, reduce the burden on handwritten notes and ...
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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.

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