AI in Healthcare: Opportunities, Risks, and Workforce Readiness

Key Insights:

• Many healthcare organizations use AI internally. AI tools and applications can offer several benefits within these settings, including helping to identify high-risk patients, reducing drug development timing, and providing patients with the ability to manage their own health.
• There are risks of AI in healthcare, such as those related to data sharing and privacy, a potential for bias and errors, and regulatory concerns. This has caused many legal and health experts to call for increased governance and regulation over AI usage in the healthcare industry.
• Healthcare employers can help prepare their teams for technological advances by providing employees with access to upskilling and reskilling training programs.

Artificial intelligence (AI) can help organizations improve efficiency, save time, reduce costs, stay competitive, and elevate customer service.¹ Add that to AI capabilities continuing to increase over time,² and it's easy to see the draw to these tools and applications.

At the same time, this technology isn't without its challenges. This can cause healthcare leaders to wonder how to implement AI into their organizations in a way that optimizes its benefits while minimizing its risks. Nasium Training understands this concern and strives to help our partners identify and evaluate practical workforce solutions. Here's what we know about AI in healthcare.

Many Healthcare Organizations Use AI Today

A 2025 survey of 233 health systems revealed that 88% used AI internally.³ Additionally, 71% indicated that they deployed full or pilot solutions in financial or clinical areas.

When used in healthcare settings, AI has the potential to provide many benefits. It can help organizations enhance care delivery by:⁴

• Increasing the accuracy and speed of medical image interpretation
• Improving the identification of high-risk patients
• Reducing vaccine and drug development timing
• Supporting the personalization of prescription medications
• Providing patients with tools to manage their own health

AI can also support operational efficiency using tools designed to aid in employee scheduling, bed management, billing workflows, and supply chain optimization. Together, these applications can help strengthen organizational infrastructure, mitigate worker burnout, and improve patient care.⁵

Research Highlights Risks of AI in Healthcare

Despite offering many advantages, AI technology doesn't come without its challenges. A narrative review of 44 studies revealed several risks of AI in healthcare:⁶

AI diagnosis is not superior to diagnosis by humans

Programs can be difficult to understand and overly ambitious

Implementation issues due to evolving medical information and large data sets

Data sharing, transparency, permission and privacy issues

AI can be biased and make mistakes

Data availability and accessibility issues

Regulatory concerns for patient safety

Social challenges related to skepticism and trust

Healthcare AI Governance and Regulatory Gaps

Of the 88% of healthcare systems that said they utilize AI internally, only 18% reported a mature governance structure.⁷ A lack of regulatory framework can expose organizations to irresponsible or unethical AI practices. It can also erode community trust if private health information isn't protected.

Both health and legal experts stress that regulatory gaps can place the burden of AI training and monitoring on healthcare agencies, even though both require input from developers. They cite additional concerns about agencies signing contracts with AI providers that negate or cap the providers' responsibility, limit their accountability, and help them avoid responsibility for the data provided and its potential impacts.⁹

The Future of AI: What Can the Healthcare Industry Expect?

Like with any technology, AI continues to evolve. New applications are developed to solve common problems or improve processes, and older technology is updated to elevate functionality or address known vulnerabilities or challenges.

What is less clear is what AI in the healthcare industry will look like five, 10, or 50 years from now. Other advantages of this technology may be discovered, as may additional drawbacks. Closing the gaps between the two is important to creating (and using) technology in which the benefits outweigh the risks.

Help Prepare Your Team for Technological Advancements

Regardless of how organizations intend to utilize AI, it's important that team members can effectively and efficiently utilize the tools and technology required in their job roles. That's where training and upskilling can play an important role.

Healthcare employee training programs can help provide the knowledge, skills, and comfort level needed to properly and effectively utilize the equipment, devices, and other tools relevant to their positions. Upskilling programs can expose learners to current methodologies, techniques, and best practices within the healthcare industry.

Nasium Training Offers Tailored Healthcare Employee Training Solutions

While Nasium Training does not provide training specific to AI technology and tools, we do offer healthcare organizations access to a variety of training solutions for their employees. These training solutions can be tailored based on your employees' skills gaps and needs.

Nasium Training solutions are available for both clinical and non-clinical healthcare roles. Most are offered entirely online, providing learners with the opportunity to gain the information they need at a time that fits their schedule best.

Contact us to learn more about how we can help train your healthcare workforce. After discussing the challenges you face, we can work together to address those challenges through upskilling, reskilling, and/or cross-skilling your healthcare teams.