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Precision Medicine
MIT professor John Guttag said that growing sets of aggregated data, federal rules mandating access to information and existing tools make machine learning a reality today. Here’s what healthcare organizations need to know about the emerging technology.
These approaches have enormous potential to enable clinicians, doctors and researchers to spot patterns in existing data sets. We take a look at the two styles and what they mean to healthcare organizations.
The funding will help speed the development of a new test that uses digital images of a biopsy slide to detect Barrett’s Esophagus, a condition that can lead to cancer, the companies said.
A team at Houston Methodist believes it has developed an artificial intelligence software program that can improve mammography readings to 99 percent accuracy by analyzing the free form text of clinical reports.
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The top reason for using advanced analytics, especially within population health programs, is enabling interventions that prevent health declines, respondents said.
Fewer than one-third of healthcare providers polled for the newest HIMSS Analytics Essentials Brief are currently pursuing precision medicine initiatives – with the majority who don't saying that limitations in funding, technology or expertise are holding them back. But that's poised to change very soon.
The artificial intelligence subsidiary launched a new research partnership to reduce the amount of time it takes to plan radiotherapy treatment for certain cancers.
A deep dive into the features healthcare organizations need, obstacles to avoid, and insights from executives who have already made the move to population health management.
Healthcare IT News reviews software designed to provide actionable intelligence from Caradigm, Enli, Forward Health, Medecision, Medicity, Transcend Insights, WellCentive and ZeOmega.
Health IT managers who have installed population health platforms in their organizations advise that you pay careful attention to these features before buying.
