Experienced clinicians and other healthcare professionals are reaching retirement age while demand for care continues to rise. Many people want to know whether AI will replace retiring healthcare workers. But healthcare leaders face a workforce problem that cannot be solved with artificial intelligence alone. The better question is how healthcare organizations can use AI to help the remaining workforce.
By strategically integrating AI into your workflows, you can protect your capacity to care for patients while empowering existing healthcare professionals to be more productive. Additionally, you can alleviate the burden of redundant work, which can help protect your employees from burnout or task overload.
Healthcare Faces a Workforce Squeeze
According to the World Health Organization, there will be a worldwide shortage of nearly 14 million healthcare workers by 2030. This shortage includes physicians, registered nurses, physician assistants, and ARNPs.
Physicians over the age of 65 already make up a disproportionate percentage of the provider workforce. Another large chunk of providers is rapidly approaching retirement age.
Nursing faces similar pressure. Burnout and an aging population of RNs can create a perfect storm that leads to a shortage of hundreds of thousands of nurses.
The reality is that you can’t hire your way out of this problem. The available talent pool may not grow fast enough to replace the experienced workers who are leaving. Artificial intelligence and automation technologies can help you bridge the gap while you hire, train, and upskill talent. The problem is multifaceted, which means the solution must be as well.
AI Should Extend Human Capacity
Artificial intelligence does not need to replace a nurse, doctor, or other healthcare professional to create enormous value for your organization. AI can remove time-consuming work that prevents those professionals from focusing on the highest-value parts of their jobs.
Consider the administrative tasks that come with caring for a single patient. AI can help summarize information and identify patterns in large datasets while your team members provide quality care. These capabilities can give clinicians more time to interact directly with patients, exercise clinical judgment, and meet their needs.
Don’t overcomplicate the goal of AI. The mission should be to help people work at the top of their role. You don’t want nurses and physicians wasting hours of every shift on repetitive administrative tasks. You want them to spend more time with patients. AI makes that possible.
Experience Still Matters
AI cannot replace the knowledge that experienced healthcare professionals develop over decades. It can help you preserve and distribute that knowledge. AI can also help experienced employees spend more time mentoring newer colleagues rather than completing routine work. However, that’s only part of the equation.
You also need to proactively retain your experienced healthcare team members through a combination of strategies. Offering benefits beyond the basics can help reduce feelings of burnout and make employees feel appreciated. You should also use AI to decrease the administrative burden on your employees. That creates a stronger path for knowledge transfer and employee retention.
Healthcare Leaders Need an AI Workforce Strategy
Virtually every healthcare leader agrees that artificial intelligence has a role to play within their organizations. However, incorporating AI into the workforce strategy is an element that is sometimes overlooked.
Don’t wait until retirement creates an urgent staffing problem before examining AI as a potential solution. Start by identifying roles that face the greatest threat due to upcoming retirements. Then, map repetitive tasks that consume the most time within those roles. There’s your opportunity to save time and add value with artificial intelligence.
You’ll also need to implement clear governance that outlines when and how AI is used. AI should be used in a supportive role, rather than replacing the clinical judgment of physicians and nurses.
The Time to Adapt Is Now
The biggest risk does not come from AI replacing healthcare workers. It comes from failing to adapt while the workforce gets smaller.
Retirements are inevitable. They will reduce capacity in an industry that already faces major shortages. While you don’t need to automate everything, you do need to strategically incorporate AI into your business continuity strategy. Now is the time to build a smarter workforce plan that leans into the potential of artificial intelligence.
