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Discover Emerging Practices in Artificial Intelligence
More AI Analytics and Deep Medicine Healthcare
In this section you will find resources that are linked to the concept of deep medicine as well as a number of artificial intelligence related fields such as augmented reality and advanced robotics. Deep Medicine, according to Dr. Eric Topol, is a subtype of AI that uses “deep phenotyping” by using genome, microbiome, environment and medical records that is then distilled for both patients and medical professionals. This subtype can help to evaluate health data management quality, efficiency, equity, and safety. Browse the following links to learn more. Explore the videos at the bottom of the page for more information and in-depth discussion. Be sure to check out the lecture given by Dr. Topol himself!
AI And Healthcare: A Giant Opportunity
This Forbes article dives deep into the transformative opportunity that can result from Artificial Intelligence integrated healthcare. The applications range from all aspects of healthcare delivery such as hospitals, clinics, clinical research, drug development, etc. Through all of these sectors, AI integration improves patient outcomes and reduces costs. It is expected that total public and private sector investments in AI healthcare will top $6.6 billion by this year and will result in savings of about $150 million by 2026. Read more at the link below.
No longer science fiction, AI and robotics are transforming healthcare
The article at this link details how AI along with robotics in healthcare are becoming “increasingly part of the healthcare ecosystem”. It lists eight different ways that this “AI transformation” is presently being deployed. Learn why Artificial Intelligence and robotics are not just science fiction anymore.
“The greatest opportunity offered by AI is not reducing errors or workloads, or even curing cancer: it is the opportunity to restore the precious and time-honored connection and trust.” - Dr. Eric Topol
This article describes news regarding a recent collaboration between Health Fidelity and Change Healthcare that will integrate NLP and AI into their risk adjustment coding processes. In doing so they will begin offering “AI-driven risk adjustment coding solutions” for ACA comercial, Medicaid and Medicare Advantage payers. This will ensure health plans will be accurate and complete. Read more here.
Change Healthcare, Health Fidelity Apply AI to Risk Adjustment
This blog post at Health Fidelity by Adam Gronsky is an early installment of an ebook series called NLP in Healthcare: The Clinical FInancial Opportunity of Suspecting. The post explains how Health Fidelity’s “technology stack processes information” through their proprietary NLP engine, Lumanent Insights, to derive suspects. The term suspects refers to a “potential member conditions and treatments based on a wide variety of data sources to surface incomplete and under-documented diagnoses”. Learn more below.
Forward Looking Opportunities of NLP in Healthcare
This article from HealthAffair.org, showcases several AI healthcare applications that are currently in development. As AI has exploded in the healthcare sector, the ability to automate decision making tasks that are currently being done by physicians is becoming more valuable. A growing portion of these applications utilize what's known as “augmented intelligence”. Read more below.
The Application Of AI To Augment Physicians And Reduce Burnout
This blog post at Health Fidelity by Chris Gluhak highlights how NLP has grown into becoming a buzzword among Health IT experts and decision-makers. He explains how the hype is backed up by the impact that AI and NLP will have on boosting administrative stability, quality of care and “support human experts”, as well. It is also part of Health Fidelity’s series on NLP and Healthcare. Begin learning about how NLP actually works below
Illuminating Natural Language Processing in Healthcare
Deep Medicine and AI Health Care
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