Healthcare AI Must Evolve Beyond Automation to Transform Patient Care

In recent years, healthcare has become one of the most aggressive sectors in adopting artificial intelligence (AI). Investments in AI within healthcare are two to three times higher than in other industries. Yet, much of this investment is currently focused on automating routine administrative tasks rather than transforming patient care. Experts at the HIMSS AI in Healthcare Forum argue that this needs to change.

"AI has the potential to revolutionize how we deliver and experience healthcare," said Dr. Eric Alper, SVP, chief quality officer, and chief clinical informatics officer at UMass Memorial Health. "But for that potential to be realized, we need to move beyond simple automation and start using AI to enhance clinical diagnostics and precision health."

From Automation to Transformation

One of the key examples of how AI can transform patient care comes from Stanford Healthcare. Dr. Michael Pfeffer, SVP and chief information and digital officer at Stanford Healthcare and associate dean for the Stanford School of Medicine, shared a compelling story about the impact of AI on their cardiology service.

"I received an email one night from one of our cardiology fellows," Pfeffer explained to a packed room at the forum. "He said, 'Chat EHR is what we call it; it changed my life.' This tool allows clinicians to query patient charts in real time, providing immediate and accurate information that can significantly improve decision-making."

The shift from automation to transformation requires more than just implementing advanced tools. It demands a holistic approach that includes smaller models at the edge, automated governance to ensure output quality, and a commitment to addressing the digital divide.

"True AI sustainability will require us to think about how we deploy these technologies," added Pfeffer. "Smaller, more efficient models can be deployed closer to where care is delivered, ensuring faster and more reliable results."

However, the benefits of AI are not evenly distributed. Smaller health systems with fewer resources may struggle to keep up, potentially leading to a stratification in care quality.

"Large health systems like ours have the resources to implement these advanced tools," Alper noted. "But we need to be mindful of the digital divide and ensure that all patients, regardless of where they receive care, can benefit from AI advancements."

Why It Matters

The implications of this shift are significant for both healthcare providers and patients. For providers, leveraging AI for clinical diagnostics can lead to more accurate and timely treatments, reducing medical errors and improving patient outcomes. For patients, it means better access to personalized care that can address their unique health needs.

The ethical considerations surrounding AI in healthcare cannot be overlooked. Ensuring that these technologies are used responsibly and equitably is crucial to building trust with both patients and providers.

"Health systems need a CEO-led transformation to capture the full value of AI," emphasized Alper. "This requires leadership alignment, operational redesign, and clear execution to turn AI into measurable impact."

As healthcare continues to invest heavily in AI, it is essential that these investments are directed towards meaningful advancements that can truly transform patient care. By focusing on clinical diagnostics and precision health, healthcare systems can not only improve outcomes but also address the broader issues of equity and access.

The journey from automation to transformation is just beginning, and the potential for positive change is immense. As Dr. Pfeffer's story illustrates, when AI is used effectively, it can make a real difference in the lives of both clinicians and patients.