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AI & ML Intelligence

How health IT's leading innovators are using AI now, and where they see it going

As health systems deploy AI – using it for everything from simple process automations, to helping reduce provider burden, to advanced clinical decision support models, to expanding the possibilities of patient care – they're confronting some key challenges, such as algorithmic bias, model transparency and sometimes clinician mistrust.

But they're also gaining big benefits in quality improvement, cost efficiency and more. And many forward-thinking CIOs and other technology leaders see how fast AI tools are evolving, and they are looking excitedly to a future where further clinical innovation will occur at rapid speed. In this regularly updated page, we offer their perspectives and advice.

Photo: Yuichiro Chino/Getty Images
Amy Bender of Tampa General Hospital on artificial intelligence
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In Tampa General's call center, AI drives ROI

Lower abandonment rates, shorter wait times and increased appointment scheduling are just three areas where artificial intelligence has helped the hospital address costly communication challenges and improve patient experience.

Rom Eizenberg, Kontakt.io_Data flowing in concentric pathways Photo by Flavio Coelho/Moment/Getty Images
VIDEO
How AI will power change in RTLS in 2026

Rom Eizenberg, head of product innovation at Kontakt.io, discusses AI-powered real-time location services for intelligent care orchestration, AI-native care operations replacing RTLS, and a surge in AI-driven length-of-stay optimization.

Sean Cassidy of Lucem Health on artificial intelligence
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How AI may impact specialty margins and referrals in 2026

Health systems potentially can use artificial intelligence to fix specialty margins and enrich the mix of patients in high-value service lines as well as alter the referral process via AI-driven patient ID and proactive outreach. One tech CEO explains how.

Edward Marx of Marx Advisory on AI concierge healthcare
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AI set to transform concierge healthcare

Edward Marx, a longtime CIO and expert in IT strategy, discusses his ideas for a new way patients can interact with AI-enabled physicians – one that offers big potential, but could pose a threat to hospitals' existing care models.

Betsy Castillo, RN, of Carta Healthcare on AI
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AI vendors have a lot to offer – including risks

We spoke with a nurse expert on artificial intelligence who advises hospitals and health systems about potential hazards when working with AI vendors. She described the questions to ask those vendors, to assess whether they really understand healthcare.

Derek Plansky of Health Gorilla on clean data for AI
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Cleaning up healthcare data for the AI era

A QHIN and interoperability pro explains what clean, standardized and interoperable data enables with AI. He also details good governance and standardized frameworks for what constitutes clean data.

Woman holding a tablet reviews AI data dashboards
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ASTP finds more health systems are adopting predictive AI

Nearly seven in 10 hospitals were using predictive artificial intelligence in 2024, with a surge in the use of third-party or self-developed automated billing, the agency says. Also, hospitals slower to adopt AI are lower-resourced, suggesting a divide.

Punit Soni of Suki on AI
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Suki CEO offers a deep dive into AI-powered ambient assistants

Punit Soni's company is a major player in this area of artificial intelligence. Here he gives advice to healthcare CAIOs, CIOs and other IT leaders implementing the systems – and to doctors and nurses using them. He sees significant changes coming to healthcare over the next five years.

Rajiv Kolagani of Lurie Children's Hospital on Chief AI Officers
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AI is a team sport, says Chief AI Officer

Lurie Children's Hospital CAIO Rajiv Kolagani says managing artificial intelligence is both an art and a science – and requires buy-in from everyone. He points to one recent win among several: an AI-powered system that reduces chart review from days to minutes.

Radiologist examines X-ray
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Elon Musk suggests Grok AI has a role in healthcare

He has boasted about the accuracy of subscription-based Grok artificial intelligence for analyzing medical images, but physicians and researchers say the model's ability to diagnose medical conditions is limited, and privacy experts have concerns.

David Lareau of Medicomp Systems on instafraud
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A beginner's guide to 'instafraud'

A new form of AI-powered fraud is posing risks to healthcare bottom lines. Medicomp CEO David Lareau describes what it is, how to fight it – and how to help cautious executives concerned with the double-edged sword of artificial intelligence.

Aligning AI-driven innovation with patient needs and expectations panel at HIMSS AI in Healthcare
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Patients want healthcare's use of AI to be clear

Between healthcare chatbots, smart patient records, doctors armed with predictive analytics and frontline staff often interfacing electronically, patients want healthcare interactions and experiences to be transparent and personalized.

HIMSS AI in Healthcare Forum panel
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What it takes to engage clinical workforces on AI

Artificial intelligence has the potential to expand a healthcare organization, reaching more patients and improving outcomes. But how can healthcare leaders help their clinical workforce understand the implications and ensure their buy-in?

Sarah M. Worthy of DoorSpace on AI
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Slow down AI adoption, one tech CEO cautions

Healthcare leaders must demand ethical artificial intelligence and ensure their RFPs list requirements for safeguards, says Sarah M. Worthy of DoorSpace. This will take time, which would mean pulling back from investing in the majority of AI tools.

Matthew Robertson of Phoebe Physician Group on AI
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Phoebe Physician Group gains big ROI by using AI for no-shows

From January 2023 to February 2024, the organization saw an average increase of 168 encounters per week with help from automated processes to help reduce missed appointments – amounting to approximately 7,800 additional encounter numbers and $1.4 million in new net patient revenue.

Matt Cybulsky at Ionian Healthcare Consulting_ Doctor looking at brain scan on tablet photo by katleho Seisa/Getty Images
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AI implementation advice for providers from a pro

How can providers and payers use AI and machine learning in value-based care and preventative care to forecast the onset of health conditions and alter patient behavior? Ionian Healthcare Consulting’s founder and consultant Matt Cybulsky has some answers.  

Xin Wang of the University at Albany on public health and AI
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AI and public health – a major opportunity

"The intersection of public health and artificial intelligence represents a transformation in healthcare," says one epidemiologist, who sees the chance to greatly improve disease prevention and management, and promote health and wellness.

Jenny Ma, senior advisor in the HHS Office for Civil Rights, and  Dr. Mark Sendak of the Duke Institute for Health Innovation
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Can government and industry solve racial bias in AI?

Leaders at ONC's annual meeting were asked whether they're confident that federal agencies and the private sector can work together to foster innovation while protecting against bias and safety risks. Here's what they had to say.

Dr. Michael Howell at Google_Doctor using tablet with tech icons photo by Chinnapong/iStock/Getty Images Plus
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What does Google say about regulating health AI?

AI can improve health equity, according to Dr. Michael Howell, chief clinical officer at Google, who will discuss the evolution of the company's medically tuned LLM and make regulatory recommendations for the use of AI in healthcare.  

Sumit Rana on electronic health records and AI at Epic
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How Epic is using AI to change the way EHRs work

Sumit Rana, head of research and development, discusses how the EHR giant’s system uses AI to generate progress notes, create draft responses to patient questions and assist with medical coding. And how AI sometimes can be more empathetic than a person.

Dr. Eve Cunningham, group vice president and chief of virtual care and digital health for Providence
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Navigating the path to AI at scale

Dr. Eve Cunningham, an expert in applied technologies and care transformation, previews her panel at the HIMSS AI in Healthcare Forum next month, and talks effective approaches to scaling AI systems for optimal value.

Dr. John Halamka of Mayo Clinic on AI
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Generative AI 'not reliable yet,' says Mayo Clinic's John Halamka

That said, despite its current limitations – it will never replace "empathy, listening, respect, personal preference" – it's clear artificial intelligence is leading to fundamental changes in care delivery, says the IT innovator, who predicts "doctors and nurses who use AI will replace doctors and nurses who don't."

Black and white image of two individuals fencing. One is jumping but the opponent finds the weak spot.
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Warning: Cybercriminals have more weapons with AI

Artificial intelligence has changed the threat landscape, enabling new cybersecurity risks for health systems: more sophisticated social engineering, automated vulnerability intelligence gathering, endpoint detection evasion and more.

Doctor at a desktop computer looks at ease completing administrative burdens.
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UNC Health pilots generative AI chatbot

Instead of spending time searching through training libraries, UNC Health team members can quickly access references that streamline their administrative burdens by leveraging OpenAI services on Microsoft Azure.