Takeaways on the Future of AI in Community Healthcare By Wes Cronkite & Helena Anderson – TRAIN held its first meeting and aims to foster responsible and safe AI development frameworks to ensure all communities can access and benefit from relevant, accessible, affordable AI technology.
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By Dr. Amy Bucher – Depending on who you ask, AI is either the savior of healthcare or its assassin. In reality, AI is a set of tools that require careful implementation and oversight to successfully support the objectives of patients, providers, systems and other entities in the healthcare ecosystem.
An Inovalon research study conducted among over 400 healthcare leaders and professionals revealed a variety of perspectives on using artificial intelligence (AI) in the healthcare revenue cycle. Download the study.
By Avinash R. Boodoosingh – In the boardrooms of insurance and healthcare organizations, a pressing question echoes: “What’s your AI strategy?” As artificial intelligence stands on the brink of redefining the industry, having a robust AI roadmap is imperative –
By Jon Moore, MS, JD, HCISPP – To maximize AI’s benefits while protecting patient data and organizational integrity, executives must adopt a strategic, proactive approach. Here are seven crucial actions to effectively manage AI-related cyber risks and ensure secure, efficient AI adoption.
This month’s AI report includes news and updates from Vultr, Athos Therapeutics, LucidHealth, Eko Health, AvaSure, CLEW Medical, Mediktor, Sensely, HLTH, Navina, Lunit, Volpara, Wolters Kluwer Health, Cognizant, CCS, Talkdesk, Lyric, InfoBionic.Ai, HBox.ai, SPRY Therapeutics, Teledoc Health, & AMA.
By Jim Bohnsack – As artificial intelligence continues revolutionizing various industries, healthcare revenue cycle management stands out as a field ripe with opportunity. Here are five key takeaways on how AI is reshaping healthcare RCM and what organizations must consider for successful implementation.
By Scott Johnson – By addressing security challenges, healthcare organizations can pave the way for widespread adoption of GenAI technology and unlock its full potential in the industry. Here are three key areas that are crucial to successfully integrate GenAI into healthcare workflows:
By Ayesha Khan -A wave of innovation – ML/AI, robotics, wearables, AR/VR, Big Data – has propelled telemedicine since the pandemic. While other technologies fueled the rise and momentum of virtual healthcare, AI’s cutting-edge analytical capabilities may revolutionize healthcare beyond recognition.