HealthApril 30, 2025

Easing healthcare challenges with a responsible approach to innovation and AI

As healthcare systems around the world seek to address challenges related to improving care and operational efficiencies, AI and innovation can play a role—but only if applied responsibly.

It’s well documented that healthcare systems globally are facing unprecedented challenges with implications for patient care. For example, The World Health Organization (WHO) reports that around one in every 10 patients is harmed in healthcare. Unsafe care, including medication and diagnostic errors, is responsible for more than 3 million deaths annually. Yet, WHO also states that up to half of that patient harm is preventable.

In a recent webinar, “Responsible AI: How do we do no harm?”, Sheila A. Bond, MD, Director of Clinical Content Strategy at Wolters Kluwer Health, notes that tackling these global issues requires innovative solutions.

“It’s an era in which clinical medicine and technology need to combine,” says Dr. Bond. “And part and parcel of that is making sure we are delivering information in a way that is correct, accurate, meaningful, and responsible.”

There is potential for healthcare innovations like artificial intelligence (AI) and Generative AI (GenAI) to help address larger healthcare challenges, improve patient care, and ease the burden on clinicians. However, it is highly important that companies take a responsible approach when developing and using these new technologies.

Understanding the scale of current healthcare challenges

Clinicians and healthcare providers are facing extensive challenges. For example, WHO estimates a projected shortfall of 11 million health workers worldwide by 2030, mostly in low- and lower-middle-income countries. In Europe alone, up to 40% of existing healthcare workers are grappling with depression and anxiety, while 70% report feeling burned out.

At the same time, the health needs of patients are growing increasingly complex. According to Dr. Bond: “As physicians…, we probably spend the same amount of time with a patient as we did in the past, but the number of decisions we make in that time, the complexity of those decisions, the interaction between drugs, the number of chronic care issues a patient has, have all risen.”

Research shows that clinicians are now making an average of 158 decisions per day, many of which impact patient care and safety. Yet, they are also navigating an overload of clinical information, with medical evidence doubling every 73 days.

Clinicians are also increasingly required to interact with technology. As electronic medical records (EMR) continue to rise in importance, they now often spend as much time with that technology as they do with their patients. However, many are finding that the systems they use don’t integrate with their workflows efficiently, leaving them struggling to achieve the ambitious time and cost-saving targets they face.

Even incremental changes can make a difference

New innovations in AI and technology could help address some of these challenges, even starting on smaller scales.

In a recent podcast, Yaw Fellin, Vice President of Product and Solutions, Clinical Effectiveness at Wolters Kluwer Health, shared insights from the HLTH 2024 conference. He was struck by attendees’ genuine enthusiasm for AI’s tangible benefits in healthcare, along with the fact that even small differences can lead to significant improvements. “I was really humbled by the time increment improvements that providers are looking for... They were talking about five, 10, or 30 seconds and that’s much smaller than I had thought about. But at scale, that equates to enormous savings for organizations.”

Fellin also sees great opportunities for AI to assist the growing need for collaboration across care teams. He believes that when the small incremental improvements across physician workflows are compounded by improvements across care team workflows “it starts to add up to pretty powerful returns.”

Integration is the foundation for innovation success

To fully leverage the potential of technologies to create workflow efficiencies, companies must ensure the information in their solutions can seamlessly align with the other systems their customers rely on. This may mean advancing integrations within EMRs and partnering with solution-adjacent companies that support clinical workflows. By combining forces, solution vendors can provide wider benefits for organizations across the care journey and help clinicians more easily and efficiently access critical care information during patient interactions.

In the case of UpToDate® clinical decision support (CDS), evidence-based content can also be integrated more widely; for example, with complementary Wolters Kluwer tools, such as Medi-Span. In addition, Greece’s pioneering telemedicine service, which serves the country’s remote areas, has been enhanced by strategic integrations of UpToDate, and hospitals in the IHH Malaysia network plan to integrate UpToDate with the EMR they are rolling out in 2025.

Setting the standard for responsible development of clinical GenAI

Recognizing that AI in healthcare is still in its infancy, stakeholders are collaborating to define the values, purpose, and practices necessary to ensure that these technologies help, not harm.

The term often used to describe this approach is responsible AI. According to Fellin, it’s something that Wolters Kluwer is investing heavily in. “We are still learning but we feel there are ways to responsibly leverage this technology.” Fellin says that although some solution providers may be “sprinting ahead” with GenAI tools, conversations with the health sector have shown that UpToDate is viewed as a trusted content source.

“That’s because there is incredible intention in how it is edited and brought together,” he says. “And when you’ve got this baseline of being the trusted source within the industry, you’ve got to be cautious about how you use that to make progress. And it needs input from the community.”

The human interaction with AI is essential, especially when it comes to any patient-facing solution. Maintaining a human-in-the-loop process for feature review and refining outputs helps maintain a responsible and ethical approach.

“Healthcare is a profession in which the acceptable error rate is really zero,” says Dr. Bond. “The same human minds who have taken great care to create and guide every single word in UpToDate are working with our technology teams to make sure that the way we build this ecosystem is equally trustworthy and responsible. But the technology is still new, raw, and early, and there are tremendous gaps to fill. Time and humans are needed to close them.”

Listen to a recent discussion about Responsible AI, and learn more about innovation and impact at Wolters Kluwer.

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