AI and doctors. In healthcare, AI technologies are helping doctors by modernizing clinical decision-making and better managing workforces.

From siloed systems to legacy tech, administrative burden and burnout, digital divides and patient access, and clinicians navigating an increasing volume of data while meeting strict compliance requirements, the tech challenges that healthcare faces as it embraces AI are not minor.

In this report, Vera Health and Hallmark explain how AI is helping doctors and providers, what challenges they are seeing on the ground, and how leaders and new technologies can help overcome these challenges to help doctors provide better care.

AI and Doctors: How AI is Helping Doctors in Clinical Decision Support

AI is transforming medicine . Vera Health is a global AI-powered clinical decision-support tool for healthcare providers, used by over 400,000 healthcare professionals around the world. In countries like Spain, one in seven doctors already use Vera, while in Italy, one in seven doctors use the platform.

“I grew up watching my father come home and work methodically through a complex case with three massive volumes of Retina, a yellow highlighter and a stack of multicolored sticky notes,” says Dr. Bernard Chang, Vera Health’s Chief Scientific Advisor and Vice Chair of Research in the Department of Emergency Medicine at Columbia University.

“Not so long ago, a question like this meant a day in the library,” says Dr. Chang.

“Years later, I met my co-founder Maxime, who shares my background, and we spent weeks shadowing clinicians inside their EHRs,” Dr. Chang adds. “What I saw as a child was even harsher in the chaos of the ER, with hundreds of critical internal protocols buried in drawers or on a SharePoint few people know exists, clinical pathways taped to walls, hundreds of data points on every patient”.

“Add to that more than 4,000 scientific papers published every day, some practice-changing and impossible for any clinician to keep up with,” says Dr. Chang. “That is the daily life of our care providers.”

Vera Health helps them make better-informed decisions and focus on what they do best, taking care of their patients, Dr. Chang says.

Chang says that in essence, Vera Health is a search engine that reasons like a clinician, turning this chaos into something digestible and actionable. Built with clinicians since day one, it translates their intuition about a good paper into something our algorithms can measure and optimize.

Vera Health covers more than 60 million peer-reviewed papers and guidelines, plus each institution’s own protocols, with every answer traceable to its sources. The company is partnering with the medical societies and experts who are behind medical knowledge, such as the American College of Emergency Physicians’ clinical policies, which now live inside Vera Health. “We (also) help their teams develop the next ones,” says Dr. Chang.

“Solve a problem the right way and the product spreads on its own,” says Dr. Chang. “In just one year, we went from a few hundred clinicians to more than half a million, asking hundreds of thousands of questions a day.”

“New medical knowledge takes an estimated 17 years to reach practice,” says Dr. Chang. “We want to turn those years into seconds and help close the gap between what medicine knows and what each patient receives.”

AI and Doctors: How AI is Helping Doctors with New Workforce Technologies?

From big tech like Microsoft to Oracle to companies like UKG, Qventus, or QGenda, new healthcare workforce solutions are emerging to meet demand, as the sector modernizes. An Elicit Insights report surveyed 120 health systems and found that 75% of them are using at least one AI solution in 2026, a 27% increase compared to 2025.

The American Medical Association reports that the average doctor works close to 58 hours a week ; fewer than half of those hours are spent with patients.

“The rest of their time is spent combing through an inbox that refills overnight, addressing a litany of scheduling questions, and sometimes chasing down compensation details to ensure their pay was calculated correctly,” says Bharat Sundaram, CEO of Hallmark .

“Nobody went to medical school to spend this much time on administrative work, and it’s a big reason we’re losing doctors to burnout and non-patient care professions,” says Sundaram.

Health systems already have stable tools across EHR, ERP, HR, and scheduling that track activity. But Sundaram explains that none of those were built to coordinate workforce decisions across the entire enterprise.

“Typically, employed physicians and APCs, locums, and nursing all get managed in separate silos, and leaders can’t see how a decision in one area affects the others,” says Sundaram.

Hallmark is the layer that sits alongside and on top of Epic, Workday, and UKG, among others, Sundaram explains. “Our technology pulls data together and adds our own real-time information related to market rates, clinician contract terms, performance/productivity, and staff preferences,” says Sundaram.

Hallmark says they impact doctors in three main areas, giving leaders one view of cost, capacity, and incentives across their whole workforce.

Areas include accurate pay for physicians and APCs. “We manage more than $10 billion in physician and APC compensation every year, and clients have seen compensation errors drop by 80%,” says Sundaram.

Another area of impact, according to Sundaram, is clinicians’ schedules that work for their needs. “We match shifts based on training/credentialing, payor enrollment, preferences, and overtime/excess shift triggers,” says Sundaram. Cancellations get handled automatically, and department leaders get hours back to spend on patients, Sundaram explains.

Finally, providers stop being the backstop for every gap, Sundaram says. “When you can see demand coming from census, outpatient needs, length of stay, and expected callouts, you can bring in the right locums in advance to provide relief to your employed physicians/APCs,” says Sundaram.

AI and Doctors: The Challenges Ahead

For Vera Health, working globally is a main challenge in clinical decision support. Dr. Chang explains that medicine is global, but most tools in the space were built for one geography only. “The best local answers come from a global understanding,” says Dr. Chang.

“The way you answer an emergency physician in France is different from the way you answer an oncologist in the U.S.,” says Dr. Chang. To go even deeper, the way you answer a dermatologist at Columbia’s academic center is different from the way you answer one in private practice, Dr. Chang adds.

“Only a global view reveals what is truly local,” Dr. Chang says.

Another challenge is evaluation. “Clinical AI is still judged on multiple-choice exams, not on real-world clinical accuracy,” says Dr. Chang.

In the healthcare workforce tech sector, Sundaram from Hallmark highlighted supply chain, primary care shortages, healthcare capacity, and costs.

“Fourth, the workforce is still a black box,” says Sundaram. “Is it better to hire, offer extra shifts, or bring in a locum?” The data to answer that lives in disparate systems, meaning leaders can’t answer this basic question in real time as quickly as they need to, says Sundaram.

“Each decision gets made in isolation, and nobody sees how it ripples across the organization,” says Sundaram. “You can’t fix what you can’t see”.

AI and Doctors: The Challenges of Health Workforce Tech

Sundaram says that when you get the workforce right, it has a halo effect. “Finances stabilize, clinicians are happier and stay longer, and patients get seen sooner,” says Sundaram.

“The clinician shortage is real, and Hallmark is building the solution to help organizations thrive financially while building a stronger, more engaged workforce, all supporting the mission of providing high-quality, accessible care for their patients.”

“If I had to add one word, it would be honesty,” Dr. Chang. “Language models are built to sound certain; medicine rarely is.”

A general-purpose model produces plausible sentences, but medicine requires verifiable ones, Dr. Chang explains.

“Inside Vera Health, every claim is color-coded by strength of evidence, so we’re transparent when an answer rests on weak sources because that is the reality of medicine.”

“My advice to CMIOs is to ignore promises of ‘zero hallucinations’ and demand transparency instead,” says Dr. Chang. “As AI enters every clinician’s day, trust will be earned in the way these tools handle the gray zones.”

The AI and doctors field is not a simple one. It involves a wide range of issues and moving parts. As the industry continues to embrace AI and new technologies, healthcare embarks on a long and not challenge-free transformation journey.