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Peer-reviewed Digital Innovations to Quickly Achieve Patient Satisfaction and Outcome Goals

Your one-stop-research-shop for communities, news, events, and feeds to help discover, track,
and evaluate the most effective digital health solutions and medical devices.
Make Innovation Work For You. 5 Questions to Consider

Make Innovation Work For You. 5 Questions to Consider

Too often, healthcare leaders are caught by the idea of the bright, shiny object of innovation, without thinking through to the application. The industry today may be in the immature arc of the adoption curve, where the ability to create technology is outpacing the ability of providers to effectively deploy them. Leaders need to ask: Do the people using a new tool or executing an innovative idea find it helpful or burdensome?

Northwell Health Uses Machine Learning to Reduce Readmissions by Nearly 24%

 Clinicians at Northwell Health, the largest healthcare provider in New York State, are applying clinical artificial intelligence to augment their post-discharge workflows and have reduced readmissions by 23.6%. The clinicians studied clinical AI stratified patients for their risk of readmissions, identified the clinical and non-clinical factors driving their risk, and recommended targeted outreach and interventions to reduce patient risk. "It's a really exciting time in healthcare right now when it is widely accepted that the factors that influence the overall health of people extend way beyond the strictly clinical risk,"
Northwell Health Uses Machine Learning to Reduce Readmissions by Nearly 24%

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UNAVAILABILITY OF ACCURATE PRODUCT INSIGHTS

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Current search for Digital Health Interoperability provides only very minimal information about products

NOT POSSIBLE TO EVALUATE ALL RELATED PRODUCTS

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Doing a product comparison is not easy in digital healthcare

WE USUALLY DO NOT GET A 360 VIEW OF THE PRODUCT

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No platform provides a consolidated view from user, vendor, customer, and integrator conduct quantitative evaluations

FEW OBJECTIVE SOURCES OF TRUTH

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Lack of quantified expectations and evaluation scores means fewer objective sources of interoperability truth

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