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Digital Health Care Forum Live Updates: Leaders Talk Industry’s AI Future

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As the demands on the health care industry grow, top health systems must invest in the integration of new technologies to support physicians and better care for patients.

Newsweek’s Digital Health Care Forum on Tuesday, September 16, 2025, invites health care leaders from top health systems across the country to New York City to share their strategies, challenges and impacts of recent technological innovations.

The forum, sponsored by Tecsys, Palantir and WelcomeWare, features a full day of programming that includes expert panels, research presentations, fireside chats and networking receptions that address the biggest challenges facing health care systems in the digital age.

  • The forum is led by Newsweek’s Health Care Editor Alexis Kayser.
  • The diverse slate of panels will discuss topics such as financing innovation, tech integration, virtual health care, artificial intelligence, governance and leadership in the digital age.
  • Some notable speakers represent leaders in the industry, including Kaiser Permanente, Columbia University, Hospital for Special Surgery, Microsoft Health and Life Sciences, Statista, MD Anderson Cancer Center, Corewell Health and Northwestern Medicine.
  • The full list of panels and speakers can be found here.



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Technology helps combat challenges of health care in rural states

The panelist discussed the most important technological advancements they have integrated into their health systems.

David Callendar of Memorial Hermann said the system is owned by the greater community of Houston, Texas and is very supportive of their mission to improve overall health. Callendat said Memorial Hermann engages with members of the community directly to help them understand what good health is and how to obtain it within their circumstances.

Brad Reimer from Sanford Health said the adoption of technology “has got to be targeted,” and the mission case and a business case have to come together. He said their mission is to sustain health care in rural America. An example of this is doubling down their investment in virtual care and developing an AI model with the chronic kidney disease team that, along with the development of electronic health records, has doubled the number of screenings and tripled the number of clinical diagnoses of chronic kidney disease.





Panelist says health systems can’t improve “without leveraging technology”

After the first networking break, Alexis Kayser is back on stage for her next panel, “The Business Case for Tech and Innovation,” which explores how hospital systems can adopt new technologies to drive efficiency and reduce costs.

Memorial Hermann Health System CEO Dr. David Callender, Fairview Health Services President and CEO James Hereford and Sanford Health CIO Brad Reimer share what has worked at their institutions to build a successful tech portfolio with a strong return on investment.

Fairview had a significant financial turnaround this past year. Hereford said the investment in technology played a major role in that success.

“We want to transform health care and you can’t fully do that without fully leveraging technology,” he said.

Reimer said pacing out tech deployments in the Sanford Health System has been a huge benefit. He said it allows the health system to do more pilot programs, reduce risk and pivot or bail out when they aren’t getting the outcomes they want.

“That’s much harder to do if you push that across a whole physician group or a full nursing group,” he said. “[We’re] trying to make sure that we’re taking a big picture step back of how much change are we are introducing to the clinicians and to operations and making sure that we’re not just peppering them with a bunch of uncoordinated things that don’t drive value.”

This approach has also helped with the recruitment of medical staff who expect the latest technology and advancements in hospitals.



First networking break begins

Attendees are now taking a short networking break before the next panel, The Business Case for Tech and Innovation, with speakers from Memorial Hermann Health System, Fairview Health Services and Sanford Health.



Koford said new cancer center is a “catalyst” for MSK’s mission

Kreg Koford said the new cancer center will address disparities in cancer care for underserved communities, translate research into clinical work, train the next generation of doctors and be a center for “impact-driven innovation” with “compassionate, personalized care.”

There will also be staff respite areas for clinicians to decompress from the high-stress environment, fall-prevention technology in patient rooms and improved digital displays and smart capabilities throughout the facility.

The guiding principles of the pavilion technology include:

  • The patient is the focus
  • Speed, stability and resilience in technology investment
  • Using the most advanced, effective, efficient and compassionate care with flexibility and foresight to enable innovation
  • Working as a team and using technology to improve collaboration among clinicians, patients and families
  • Supporting team members
  • Turning every interaction into insight by collecting data to improve outcomes and accelerate clinical trials and scientific discovery

He said the building serves as a “catalyst” for Memorial Sloan Kettering’s mission to provide care for everyone who needs it and “hopefully eradicate cancer and, if not, provide care to help patients recover.”

The pavilion is set to open in 2030.




A look at Memorial Sloan Kettering’s newest cancer pavilion

Kreg Koford, the senior vice president of Real Estate Operations at Memorial Sloan Kettering Cancer Center, presented the hospital’s plan to build a new facility to address the anticipated increase in demand for care and to accommodate modern and future technology.

Koford said there are currently 40,000 new cancer cases in New York City each year, and that will increase to about 47,000 cases by 2030 and 60,000 by 2050.

To address this, MSK is building the Kenneth C. Griffin Pavilion on its main campus, located on the Upper East Side of Manhattan. The pavilion will house a new, state-of-the-art cancer care facility to accommodate the rising number of cancer cases each year.

The facility features 12 new operating rooms, 2,018 inpatient beds, single rooms for immunocompromised patients and the latest technology and cutting-edge robotics.





Panelists define with good vendor partnership looks like in health care

The speakers on the Breaking Down Silos panel shared what they look for in outside vendors to ensure true partnerships.

They agreed that the partnership has to go beyond the financial transactions.

Simon Nazarian from City of Hope said the patient is always at the center of these decisions, and when you start with the financial, you can lose the reason why you’re engaging in the partnership.

“What will this [partnership] deliver to the patient and the health care industry overall?” he said.

At IU Health, Dennis Murphy said transparency is key with these vendor partnerships.

“Define accountability on both sides of the table,” he said. “We want to know if our team is not doing what they’re supposed to. We are okay with telling vendors, but we are not as receptive about the feedback for our own team.”

He also said that products are not static; they are dynamic. Good partners, he said, talk about what is next in the space. Going beyond the financial transaction means talking with partners about the next two or three things coming down the pike.


Digital Health Care Forum 2025



Newsweek Health Care Editor Alexis Kayser hosts the “Breaking Down Silos: Achieving True IT Integration in Health Care” panel during the Digital Health Care Forum on September 16, 2025, at One World Trade Center in…


Newsweek





Panelist discuss concerns over sharing patient medical data

Newsweek’s Alexis Kayser leads the first panel of the day, “Breaking Down Silos: Achieving True IT Integration in Health Care,” which tackles breaking down silos with tech integration.

Panelists include IU Health President and CEO Dennis Murphy, City of Hope Executive VP and Chief Digital and Technology Officer Simon Nazarian and Northwestern Medicine Chief Digital Executive and VP of Information Services Danny Sama.

Kayser asked the panel about patient data sharing, as people are worried about privacy and control over sensitive health data that could be used for education and research.

Sama said it comes down to whose data it is.

“It’s the patient’s. If the patient doesn’t want data to be used, that is their right,” he said.

He noted an ethical conundrum: Could this data lead to a medical breakthrough and would it be unethical not to use it? Sama said that the decision might be left up to the courts and government regulation.

“HIPPA needs updating for the modern system of how we use information,” he added. “Regulations might hinder progress more than helping it. But it is patient data, so it’s a tricky tightrope to walk.”

Murphy offered a different perspective, saying physicians need to take the time to explain to patients why the data is necessary to advance medical research.

“I don’t think people want to invest time to have those conversations with patients, he said.

Murphy added that the main concern among patients who are hesitant to share their data are fears of insurance costs going up, putting employment in jeopardy and wanting a return on investment if their data is used for major medical advancements.





Tina Freese Deckers shares key behaviors to drive change in health care

Tina Freese Deckers, the board chair of the American Hospital Association and president and CEO of Corewell Health, took the stage to share her opening remarks.

She shared a story of a patient with tremors who wrote her a letter, his first hand-written note in 30 years, after a focused ultrasound procedure.

“He now can write a letter, he can now drink coffee without worrying about spills,” she said. “We totally changed his life and that’s why we’re here.”

She outlined overall challenges facing health care, including funding, affordability, an aging population and a shrinking workforce.

Health care has been slow to change, Freese Deckers said, and there are five key behaviors needed to drive change:

  • Taking care of ourselves and each other
  • Focus on mission and purpose and find the problem we are trying to solve and tie it back to the mission
  • Be curious about the road ahead, which requires actively listening and communicating and seeking out different points of view
  • Commit and own it: Go to the higher rungs of the accountability ladder where you find solutions and “make it happen”
  • Make sure we deliver and celebrate those successes

“This is how we do hard things, this is how we start to move forward,” she said. “We need to make sure that we’re doing those hard things, that we’re embracing the technology and artificial intelligence, that we’re bringing the hope to our teams, that we’re putting forward the discussions that we have and we’re owning it and making it happen.”



Newsweek’s health care editor outlines industry challenges in opening remarks

In her opening remarks, Newsweek’s Health Care Editor Alexis Kayser welcomes attendees and speakers – some of whom traveled from California, Texas, South Dakota, and even internationally from Mexico, Spain, Belgium and Colombia.

Kayser likens the current state of the health care industry to the Charles Dickens quote: “It was the best of times, it was the worst of times.”

“Where we sit, in the United States, health systems are up against funding cuts and rising costs,” she said. “Our population is getting older and they’re getting sicker. Policies, waivers and regulations are up in the air. And patients’ trust doesn’t come as easily as it used to. “

But, Kayser added, advancements in technology like AI and predictive analytics have the potential to turn things around.

“The people in this room are the people who are going to get us there,” she said. “The discussions we have in this room should help make that path a little clearer.”



Digital Health Care Forum to feature panels, fireside chats, presentations

Attendees are arriving at Newsweek’s headquarters in New York City for the Digital Health Care Forum: Sculpting a Digital Future.

The event will kick off with opening remarks from Newsweek’s Health Care Editor Alexis Kayser and Tina Freese Decker, the president and CEO of Corewell Health, at 10 a.m.

A full day of panels and fireside chats will follow throughout the day, including:

  • A “State of the Industry” presentation with Newsweek’s Global Head of Research and Statista
  • Discussions about aligning tech and financial investments with strategic planning
  • Fireside chats with senior leadership from Tecsys and Palantir
  • A panel about change management from the perspective of chief medical and nursing information officers
  • Presentations from Memorial Sloan Kettering Cancer Center and UMass Memorial Health
  • A look at telehealth and remote patient monitoring technologies
  • A review of AI advancements, use cases and challenges in top hospital systems
  • Advice from top hospital systems about taking “healthy risks”
  • A spotlight on fostering trust and collaboration from Newsweek CEO Circle members

The full schedule of events can be found here.







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AI took your job — can retraining help? — Harvard Gazette

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September 16, 2025

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Many people worry that AI is going to take their job. But a recent survey conducted by the Federal Reserve Bank of New York found that rather than laying off workers, many AI-adopting firms are retraining their workforces to use the new technology. Yet there’s little research into whether existing job-training programs are helping workers successfully adapt to an evolving labor market.

A new working paper starts to fill that gap. A team of researchers, including doctoral candidate Karen Ni of the Harvard Kennedy School, analyzed worker outcomes after they participated in job-training programs through the U.S. government’s Workforce Innovation and Opportunity Act. Researchers looked at administrative earnings records spanning the quarters before and after workers completed training. Then they analyzed workers’ earning when transitioning from or into an occupation that was highly “AI-exposed” — a term that refers to the extent of tasks that have the potential to be automated, both in the traditional computerization sense and through generative AI technology.

Across the board, the training programs demonstrated a positive impact, with displaced workers seeing increased earnings after entering a new occupation. Still, those earnings were less for someone who targeted a high AI-exposed occupation than someone who targeted a low AI-exposed occupation.

In this edited conversation, Ni explains the role that job-training programs play as AI use is transforming the labor market.

With all the discussion around job displacement and AI, what led you to focus on retraining in particular?

When thinking about the disruptions that a new large-scale technology might have for the labor market, it’s important to understand whether it’s possible for us to help workers who might be displaced by these technologies to transition into other work. So we homed in on, OK, we know that some of these workers are being displaced. Now, what can job training services do for them? Can they improve their job prospects? Can they help them move up in terms of earnings? Is it possible to retrain some of these workers for highly AI-exposed roles?

We wanted to help document the transition and adaptability for these displaced workers, especially those who are lower income. Because then we can think about how we can support these workers, whether it be better investing in these kinds of workforce-development programs or training programs, or adapting those programs to the evolving labor market landscape.

“We wanted to help document the transition and adaptability for these displaced workers, especially those who are lower income.”

What can we learn by looking at data from government workforce development programs?

One of the big advantages of using these trainees is that it’s nationwide, and so it’s nationally representative. That allows us to take a broad look at trainees across the entire country and capture a fair bit of heterogeneity in terms of their occupations and backgrounds. For the large part, our sample captures displaced workers who tend to be lower income, making an average of $40,000 a year. Some are making big transitions from one occupation to a completely different one. We also see a fair number of people who end up going into the same types of jobs that they had before. We think those workers are likely trying to develop new skills or credentials that might be helpful to enter back into a similar occupation. Some of these people might be displaced from their occupation because of AI. But the job displacement in this sample could be for any reason, like a regional office shutting down.

Can you provide some examples of highAI-exposed careers versus low AI-exposed careers?

AI exposure refers to the extent of tasks within an occupation that could potentially be completed by a machine or a large language model. Among our sample of job trainees, some of the most common high AI-exposed occupations were customer service representatives, cashiers, office clerks. On the other end of the spectrum, the lowest AI-exposed workers tended to be manual laborers, such as movers, industrial truck drivers, or packagers.

AI retrainability by occupation

What were your main findings?

We first looked at the split before entering job training: if they were displaced from a low AI-exposed or high AI-exposed occupation. After training, we find pretty positive earnings returns across the board. However, workers who are coming from high AI-exposed jobs have, on average, 25 percent lower earnings returns after training compared to workers initially coming from low AI-exposed occupations.

Then we looked at the split after job training, if they were targeting high AI-exposed jobs or low AI-exposed jobs. If you break it down that way, we find that workers generally are better off targeting jobs that are lower AI-exposed compared to the workers who are targeting jobs that are more highly AI-exposed. Those who are targeting the high AI-exposed fields tend to face a penalty of 29 percent in terms of earnings, relative to workers who target more general skills training.

Are there any recommendations that displaced workers could take away from those findings?

I would cautiously say our findings seem to suggest that, for these AI-exposed workers going through job-training programs, going for jobs that are less AI-exposed tends to give them a better outcome. That said, the fact that we do see positive returns for all of these groups suggests that there’s probably other factors that need to be considered. For instance, what are the specific types of training that they’re receiving? What kinds of skills are they targeting? There’s an immense heterogeneity across the different job-training centers throughout the country, in terms of the quality, intensity, and even the types of occupations that they can offer services for. There’s a lot of potential for future work to consider how those factors might affect outcomes.

Also, in this case, the training program is predominantly serving displaced workers from lower parts of the income distribution. So I don’t think we can generalize across the board and say, “everyone should go do a job-training program.” We were focused on this specific population. 

You also created an AI Retrainability Index to rank occupations that both prepare workers well for jobs that are more AI-exposed and also earn more than their past occupation. What did the index reveal about which occupations are most “retrainable”?

We wanted to have a way of measuring by occupation how retrainable workers are if they were to be displaced. Our index ranking shows that, depending on where they’re starting from, you might have more or less capability of being retrained for highly AI-exposed roles. The only three occupational categories that had a positive index value — meaning that we consider these to be occupations that are highly AI-retrainable — were legal, computation and mathematics, and arts, design, and media. So someone coming from a legal profession is more retrainable for high-paying, high AI-exposed roles than someone coming from, say, a customer service job.

Overall, we found that 25 to 40 percent of occupations are AI retrainable, which, to us, is surprisingly high. You might think that if someone is coming from a lower-wage job, it might be really hard to retrain them for a job that has more AI exposure. But what we found is that there may actually be a large potential for retraining.



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Check Point acquires AI security firm Lakera in push for enterprise AI protection

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September 16, 2025

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Check Point Software Technologies announced Monday it will acquire Lakera, a specialized artificial intelligence security platform, as entrenched cybersecurity companies continue to expand their offerings to match the generative AI boom.

The deal, expected to close in the fourth quarter of 2025, positions Check Point to offer what the company describes as an “end-to-end AI security solution.” Financial terms were not disclosed.

The acquisition reflects growing concerns about security risks as companies integrate large language models, generative AI, and autonomous agents into core business operations. These technologies introduce potential attack vectors including data exposure, model manipulation, and risks from multi-agent collaboration systems.

“AI is transforming every business process, but it also introduces new attack surfaces,” said Check Point CEO Nadav Zafrir. The company chose Lakera for its AI-native security approach and performance capabilities, he said.

Lakera, founded by former AI specialists from Google and Meta, operates out of both Zurich and San Francisco. The company’s platform provides real-time protection for AI applications, claiming detection rates above 98% with response times under 50 milliseconds and false positive rates below 0.5%.

The startup’s flagship products, Lakera Red and Lakera Guard, offer pre-deployment security assessments and runtime enforcement to protect AI models and applications. The platform supports more than 100 languages and serves Fortune 500 companies globally. The company also operates what it calls Gandalf, an adversarial AI network that has generated more than 80 million attack patterns to test AI defenses. This continuous testing approach helps the platform adapt to emerging threats.

David Haber, Lakera’s co-founder and CEO, said joining Check Point will accelerate the company’s global mission to protect AI applications with the speed and accuracy enterprises require.

Check Point already offers AI-related security through its GenAI Protect service and other AI-powered defenses for applications, cloud systems, and endpoints. The Lakera acquisition extends these capabilities to cover the full AI lifecycle, from models to data to autonomous agents.

Upon completion of the deal, Lakera will form the foundation of Check Point’s Global Center of Excellence for AI Security. The integration aims to accelerate AI security research and development across Check Point’s broader security platform.

The acquisition is another in a flurry of bigger cybersecurity companies moving to acquire AI-focused startups. Earlier this month, F5 acquired CalypsoAI, Cato Networks acquired Aim Security, and Varonis acquired SlashNext. 

The deal remains subject to customary closing conditions.

Written by Greg Otto

Greg Otto is Editor-in-Chief of CyberScoop, overseeing all editorial content for the website. Greg has led cybersecurity coverage that has won various awards, including accolades from the Society of Professional Journalists and the American Society of Business Publication Editors. Prior to joining Scoop News Group, Greg worked for the Washington Business Journal, U.S. News & World Report and WTOP Radio. He has a degree in broadcast journalism from Temple University.



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Commure to Embed Ambient AI into MEDITECH Expanse Now Mobile EHR

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September 16, 2025

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What You Should Know: 

– Commure, a healthcare technology company, has announced the direct embedding of its Ambient technology within MEDITECH Expanse Now, the physician’s mobile application in the MEDITECH Expanse EHR platform. 

– The collaboration empowers healthcare organizations using Expanse Now to streamline clinical documentation and reduce administrative burdens, which allows clinicians to focus more fully on patient care within their familiar mobile workflows. This solution is now available to early adopters, with general availability to follow.

A New Era for Clinical Documentation

Commure’s Ambient technology is designed to deliver real-time, AI-powered clinical documentation that fits naturally into the clinician’s workflow. By intelligently capturing and structuring patient-clinician conversations, the solution saves providers an average of 90 minutes per day. This helps reduce cognitive overload and enables clinicians to stay present with their patients.

Seamless Integration and Strategic Advantages

This integration is part of Commure’s comprehensive suite of ambient documentation solutions that address workforce shortages, inefficiencies, and administrative burdens. The Ambient Suite keeps clinicians in their workflow, supports customization and quality capture, and extends across various care settings, including ambulatory environments and the emergency department. Built with Commure’s revenue cycle expertise, the Ambient Suite enhances documentation quality by leveraging both clinical and financial insights.

The embedded offering in Expanse Now complements other previously released ambient mobile and web application options that also make use of deep bidirectional integration with MEDITECH Expanse. Commure works directly with clinicians and administrators to boost margins, reduce burdens, and improve patient engagement. The company integrates with over 60 EHRs and powers millions of encounters annually.Ian Shakil, Chief Strategy Officer of Commure, stated that integrating the company’s Ambient AI technology directly within MEDITECH Expanse Now is a significant step forward in their mission to transform healthcare organizations into “the most advanced, intelligent, and human-centered systems”. The integration uses gold-standard technology to securely exchange data and accurately upload the generated notes back into discrete sections of MEDITECH Expanse.



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