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Machine learning algorithms are powerful because they can process far more data than the human brain can consume; but sometimes, algorithms can make a mistake. Learn how a concept developed by Henry Ford for the assembly line can be used to improve machine learning in health care.
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In this Innovation Lab interview series, Bhavani discusses becoming a patient journey AI company, surviving a long sales cycle, and why trying to raise money with PowerPoint slides is a terrible idea for entrepreneurs.
Geisinger’s Karen Murphy and CHOC’s Anthony Chang, MD share how they measure innovation, ensure it’s part of the culture, and what is on their innovation competency checklists.Read More
Evaluating area need, economics, market willingness and existing footprint, Array Advisors maps out where the tech giant could establish a presence with a variety of its health care services.Read More
From the Health Evolution Innovation Lab, chief executives discuss what they have learned through their work and how it informs innovation strategies, company culture and more.Read More
McSherry on preparing for the innovation influx coming from VC and big tech, the value of capturing first-dollar, the impact President-elect Joe Biden’s administration could have on digital health, and more.Read More
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In this Innovation Lab interview series, Paranjpe discusses the inspiration fueling the company, what to expect in the payer-provider continuum and his advice to other CEOs and founders.
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In the Health Evolution Innovation Lab interview series, Nicholson discusses Conversational AI, challenges he and the company have overcome, and his advice for other innovators and executives.
The second in a two-part series about how CEOs can lead a new level of IT deployment.Read More
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CEOs, CIOs and CMIOs are accelerating deployment of ‘game-changing’ ambient clinical intelligence systems to address physician burnout and improve clinical documentation, care quality and access and value-based reimbursements