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CipherHealth Unveils Next-Generation Patient Engagement Platform for Enhanced Personalization, Agility, and Scale to Improve Patient, Family, and Provider Experiences
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CipherHealth Announces Sponsorship of The Fifth Annual Patient Experience Symposium
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CipherHealth Wins Globee® in the 16th Annual 2021 IT World Awards® for Its COVID-19 Crisis Response Solutions
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Cipherhealth s Lisa Romano Among Top 25 Women Leaders In Healthcare Software, As Selected By The Healthcare Technology Report
CipherHealth s Chief Nursing Officer honored for dedication to innovation in patient engagement, data-driven clinical strategy, and helping hospitals care for overworked frontline staff
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NEW YORK, May 13, 2021 /PRNewswire/
CipherHealth, a leading provider of patient and staff engagement solutions, announced today that Chief Nursing Officer,
The Top 25 Women Leaders in Healthcare Software of 2021
The Healthcare Technology Report list honors women who are developing software products and services that are not only helping to update legacy systems but are also directly impacting outcomes for patients and providers. These women leaders have been integral in anticipating the unique needs of healthcare systems, companies, and professionals, recognizing the necessity for interoperability, security, and usability within e
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s we close out the year, we asked several healthcare executives to share their predictions and trends for 2021.
Kimberly Powell, Vice President & General Manager, NVIDIA Healthcare
Federated Learning: The clinical community will increase their use of federated learning approaches to build robust AI models across various institutions, geographies, patient demographics, and medical scanners. The sensitivity and selectivity of these models are outperforming AI models built at a single institution, even when there is copious data to train with. As an added bonus, researchers can collaborate on AI model creation without sharing confidential patient information. Federated learning is also beneficial for building AI models for areas where data is scarce, such as for pediatrics and rare diseases.