Predictive analytics
The analytical tool can also predict demographics and understand personality traits by understanding brain activity patterns.
A Singaporean startup leverages Asian-specific databases in making heart disease risk assessments.
Rami Karjian, head of the operating rooms business at LeanTaaS, says 17% of healthcare providers had to delay or cancel surgeries, which has a huge impact on patients, on the finances of a hospital and on caregivers who have to make up for the backlog.
Albert Marinez, chief analytics officer at Cleveland Clinic, discusses how genAI is an order of magnitude higher than traditional strategies and how a lot of problems can be solved with traditional machine learning and predictive analytics.
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Jerry Shultz, Lightbeam Health Solutions' president, says the company's AI identifies COPD patients who need personalized interventions, reducing readmissions and realizing millions of dollars in savings for clients.
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Emmanuel Bilbault, cofounder and CEO of POSOS, says the company's AI-driven international drug database's use of medication codes enables it to cross-reference EHR data and tailor prescriptions to meet a patient's specific needs.
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Tabia Health cofounder and CEO Steve Pickett and cofounder and CTO Ricardo Clemente talk about applying what they learned about analyzing data to predict behavior in the oil and gas industry to their present work in digital health.
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Anatomy IT CEO Frank Forte says that redundant systems and practice drills, as well as partnering with vendors to prepare for inevitable cyberattacks, are key to building cyber resilience of healthcare organizations.
In part two of a two-part series, Dr. Bruce Darrow, CMIO and interim CDIO at Mount Sinai Health System, discusses how the health system utilizes AI for predictive care, reading diagnostic images, and streamlining administrative operations.
In part one of a two-part series, Dr. Bruce Darrow, Mount Sinai Health System CMIO and interim CDIO, relays how patients may gain confidence in relying on AI instead of doctors as accuracy of pattern recognition and predictive models improve.