AI can be a game-changer in healthcare RCM — but only if it delivers results.
In a commissioned study conducted by Forrester Consulting on behalf of Waystar, leaders report that AI is already proving effective in enhancing efficiency, accuracy, and financial performance across the revenue cycle. Turning potential into performance: AI in revenue cycle management.
Read this study to explore the current state of AI adoption, where AI is delivering impact, and how to unlock true value at scale.
What’s inside :
How — and where — AI is driving meaningful results across revenue cycle operations (including a 36% boost in workforce efficiency)
Why growing trust in AI is accelerating adoption among top healthcare organizations
Where healthcare leaders are planning to expand and refine AI investments
Like many health systems, Cedars-Sinai in Los Angeles found itself facing access and administrative challenges — long wait times for patients, time-consuming paperwork for doctors. To address these concerns, they launched an artificial intelligence-powered virtual platform called Cedars-Sinai Connect which, according to a recent study, showed positive results when compared to traditional physician recommendations.
CS Connect, developed in partnership with K-Health and launched in 2023, enables patients to access health care support 24/7 through a mobile app or website. The system uses chat-based symptom intake and patient records to recommend treatments, which physicians review and approve. It can even prompt patients to upload photos of physical symptoms like rashes. This approach streamlines the diagnostic process and frees up physicians to focus less on patient intake and more on care decisions.
A 2025 study found that CS Connect’s recommendations were often rated higher in quality than those from physicians: 77% of AI recommendations were rated as optimal, while 67% of physicians’ decisions were rated optimal. According to Caroline Goldzweig, chief medical officer of Cedars-Sinai Medical Network, the study suggests that CS Connect tends to be more guideline-focused, while physicians can adapt medical guidelines based on the nuance of a patient’s individual case. The study, however, only examined a few medical conditions.
Since its launch, over 42,000 patients have used CS Connect. Cedars-Sinai is currently expanding the tool to include remote monitoring for chronic illnesses and increased integration between virtual and in-person care, aiming to make health care more efficient and personalized.
A move to empower federal consumer product regulators with artificial intelligence tools picked up steam this week with the introduction of a bipartisan Senate bill whose companion has already passed the House.
The Consumer Safety Technology Act from Sens. John Curtis, R-Utah, and Lisa Blunt Rochester, D-Del., calls on the Consumer Product Safety Commission to create a pilot program that uses AI to track product injury trends, identify hazards, monitor recalls and pinpoint which products fall short of critical standards.
The legislation also directs the Federal Trade Commission and the Commerce secretary to deliver a report on blockchain technology and tokens.
“The world is changing fast, and consumer protection must keep pace,” Curtis said in a press release Thursday. “This bill puts the right tools in the hands of experts — employing AI to catch dangerous products before they hurt families, exploring blockchain to strengthen supply chains, and making sure digital tokens don’t become a new avenue for fraud. This is about keeping people safe while helping American innovation thrive.”
The House version of the bill, introduced in March by Rep. Darren Soto, cleared the lower chamber in July. The Florida Democrat said at the time that the legislation would “help make the CPSC more efficient.”
“The reality is, the crooks are already using AI,” Soto said. “The cops on the beat need to be able to use this, too.”
The Senate bill directs the CPSC to seek out a variety of stakeholders to consult on the agency’s AI pilot, including cybersecurity experts, technologists, data scientists, machine-learning specialists, retailers, consumer product safety groups and manufacturers.
Within a year of the pilot’s conclusion, the CPSC would be charged with submitting a report to Congress detailing its findings and data, “including the extent to which the use of artificial intelligence improved the ability of the Commission to advance the consumer product safety mission,” the bill states.
The blockchain section of the bill orders the FTC and Commerce Department to study how the technology can be leveraged to protect consumers by guarding against fraud attempts and other unfair and deceptive practices. There would also be an examination of what federal regulations could be modified to spur blockchain adoption.
A separate report would look into unfair or deceptive acts and practices tied to transactions via digital tokens. A fact sheet from Curtis said that provision is aimed at “ensuring consumers are protected without stifling responsible innovation.”
Blunt Rochester said in a statement that the government “must be able to keep up with new and emerging technologies, especially when it comes to consumer safety.”
“The Consumer Safety Technology Act would allow the Consumer Product Safety Commission to explore using artificial intelligence to further its critical goals,” she continued. “I am grateful to work alongside Senator Curtis on this legislation and look forward to getting it over the finish line.”
