Analytics
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In season 2, episode 3 of "Unlocking Big Data," sponsored by Arcadia, HIMSS’ VP and general manager of digital health advisory - North America, Julius Bogdan, and Arcadia’s VP of data operations, Mary Kuchenbrod, talk about improving data accuracy.
Corti, a Copenhagen-based AI startup, helps automate and analyze virtual and face-to-face patient engagements, says Lars Maaløe, its cofounder and chief technology officer.
Radar offers new opportunities to track patients in the home without using wearables, says Sumit Nagpal, CEO of Cherish Health – who recalls some sage advice he received from Steve Jobs when pitching the idea years ago.
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AI, advanced analytics, automation… what’s next? An exploration into 2024’s key healthcare industry…
As we enter 2024, healthcare organizations are already focusing on all the above plus advancing digital health and telemedicine, clinical efficiency, employee retention and outsourcing their IT utilizing managed services.
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Healthcare leaders overwhelmingly say more than half of their data is accurate, but fewer say it’s being used to make decisions, according to a recent market insights survey conducted by HIMSS and Arcadia.
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In season 2, episode 2 of "Unlocking Big Data," sponsored by Arcadia, Albert Duntugan, UCLA Health’s chief data officer, and Nick Stepro, Arcadia’s chief product and technology officer, talk about how to make data more accessible to different end users.
Interoperability Institute's Jim St. Clair and the VA's Thomas Osborne and Dr. Paul Tibbits say digital representations in healthcare research are evolving rapidly. They'll have updates on modeling at the personal and enterprise levels at HIMSS24.
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In season 2, episode 1 of "Unlocking Big Data," sponsored by Arcadia, Albert Marinez, Cleveland Clinic’s chief analytics officer, and Michael Meucci, Arcadia’s president & CEO, talk about how data analytics platforms boost efficiency and care access.
Luis Ahumada, director of health data science and analytics at Johns Hopkins All Children's Hospital, explains why gathering high quality data for every population and validation are key to building valuable artificial intelligence models.
The cross-agency, cross-industry collaboration driving CMMI’s first truly interoperable payment model could improve oncology delivery for years to come, says the Digital Medicine Society's Jennifer Goldsack.

