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Machine Learning & AI for Healthcare 2019

Bundling predictive and descriptive analytics to create patient risk scores

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Westchester Medical Center integrated data from the EHR using a machine learning algorithm to connect patients to the right sources of care, according to Simer Sodhi, the organization's director of data management & analytics.

 

How blockchain and AI can work together for healthcare

Tej Anand, professor of practice at the University of Texas' McCombs School of Business, explains how the most promising use case for blockchain in healthcare is the elimination of "redundant work, rework and reconciliation."
 

Building a collaborative approach to patient-centric artificial intelligence initiatives

(Sponsored) GE Healthcare offers a preview of how its new Edison platform will improve workflow, clinical insight and patient satisfaction.

 

Digital health 'sherpas' helping guide the journey of bringing AI to healthcare

Dr. Sujay Kakarmath, digital health scientist at Partners HealthCare Pivot Labs, explains how the Boston organization is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma.
 

How Cleveland Clinic harnesses machine learning for its pop health goals

Joseph Dorocak, manager of population health analytics at Cleveland Clinic, describes some of the staffing and process strategies the health system uses as it puts AI to work for two intertwined aims: better patient outcomes and financial return.