GenAI is in the Building and Ready to Operate

GenAI is in the Building and Ready to Operate

Checking in and checking up on GenAI’s presence in healthcare

      Generative AI (GenAI) is reshaping industries from manufacturing to finance and virtually everything in-between. Healthcare is no exception. Healthcare organizations are part of the market demand for GenAI services from surgeries to healthcare staff hiring and training. It’s clear healthcare organizations that are ahead of their competition in implementing and adapting AI solutions will lead the way in operational efficiencies, hire more qualified professionals and realize better patient outcomes.

The transformational potential of GenAI lies in its ability to harness data insights and power applications that improve businesses of all sizes across all industries. In healthcare, realizing the full potential of GenAI begins with accessible, relevant and well-organized data. The government has implemented an AI Task force, run by Health and Human Services (HHS), to establish guidelines to keep healthcare data protected and develop uniform standards and algorithms as the industry moves toward widespread adoption. Most recently, the task force recommended improving health data interoperability and supporting more funding for more AI research through the National Institutes of Health (NIH).

GenAI also has the promise to improve the way healthcare clinicians are hired, trained and perform at their jobs. As the healthcare industry, specifically nursing, continues to struggle with significant labor shortages, GenAI tools can help qualified nurses find available nursing jobs to quickly fill roles at healthcare facilities. To address severe healthcare shortages in rural communities, increasing awareness of open nurse jobs and allied healthcare positions in less populated areas through real-time job boards and technology-driven recruiting processes significantly improves the efficiency of filling these critical roles.

Changing roles in changing times

Most of us are familiar with AI-powered chatbots in telemedicine that provide basic health information, but this represents just a small part of GenAI’s potential in healthcare. GenAI-powered healthcare tools are being developed at a rapid pace. In fact, there are already close to one thousand FDA-approved GenAI-powered medical devices available on the market.  

GenAI is subtly transforming clinician roles by enhancing both manual and cognitive tasks. This is helping mitigate clinician burnout by streamlining tasks like tedious charting. By minimizing time spent on administrative duties, clinicians can focus on patient care, which is the satisfying aspect of their profession clinicians enjoy the most. As GenAI directly improves job satisfaction, attrition rates will improve.  

From speech recognition to data mining, GenAI in healthcare is changing how care is delivered and monitored, resulting in a shift across the staffing healthcare ecosystem. Tech-savvy healthcare professionals are poised to become the hottest hires in healthcare. For those who aren’t riding the GenAI wave just yet, getting trained and up to speed on newer technology will be critically important.

GenAI and the human touch

An increasing number of healthcare organizations are requiring GenAI training. As GenAI becomes more integrated in healthcare, facilities are upskilling the current workforce to prepare them for roles that involve managing or utilizing GenAI tools. Some hospitals are training workers with immersive, GenAI-powered simulations that put the clinicians in complex, real-world patient scenarios. From virtual surgical simulations to detailed and realistic 3D human anatomy models, medical educators can train clinicians with advanced tools to improve medical care.

While GenAI-powered technology holds a significant promise in improving how healthcare is delivered, there are many considerations for healthcare organization leaders and IT professionals. There are ethical bias concerns and healthcare organizations must be cautious against an overreliance of technology. Governance surrounding GenAI is weighing in on algorithmic bias, where the data used to train GenAI systems may be skewed toward a particular demographic. Those biases can lead to inaccurate or unfair outcomes when applied to patients.

For now, GenAI requires a human touch to work but it’s quickly modernizing medical care and improving several different areas of healthcare. While GenAI is not currently replacing nurse jobs or others in the medical field, the technology is constantly evolving and changing. New uses for GenAI in healthcare continue to develop and over 90% of healthcare companies said they are employing GenAI in some capacity.

Here’s a look at ways GenAI is impacting, improving and changing healthcare:

  1. Quality measurement

As the Centers for Medicare and Medicaid Services increasingly prioritizes quality measurement, more healthcare organizations are expected to adopt GenAI technology to gather and analyze quality data. This data will play a critical role in determining patient care decisions and for insurers, determining reimbursement rates. GenAI is powering predictive analytics for both care providers and insurers, helping healthcare providers make more informed treatment plans and insurers on in patient care and insurance companies with underwriting, customer service and claims processing.

  1. Real-time data and monitoring of conditions

There’s a significant impact on chronic disease management, especially chronic conditions like diabetes, COPD and hypertension, by implementing GenAI tools. While GenAI is designed to support clinical judgement rather than replace it, its integration into healthcare represents a significant opportunity to alleviate the workload of healthcare professionals while helping patients take control of their health. GenAI is enabling healthcare providers to predict health events before they happen and develop personalized care plans that improve patient engagement and adherence. There’s also great promise for GenAI to help identify at-risk populations. Identifying these health risks and taking preventative measures stands to reduce the strain on the healthcare system.

  1. Recruiting, Hiring and Onboarding Healthcare Professionals

Hiring the right clinicians for the roles they are trained and qualified for has traditionally been a lengthy process, but technological innovations are now accelerating the matching of healthcare workers with facilities, ensuring better patient care. StaffDNA®, a multi-award-winning healthcare staffing company, is digitally transforming the way healthcare professionals are find, applying for and get hired for jobs. Through the StaffDNA® app, clinicians can discover positions tailored to their skills and experience, search for opportunities in desired locations, and view transparent pay details. By integrating AI into recruiting, the platform helps healthcare workers advance their careers while addressing staffing challenges in healthcare facilities.

  1. Robotic surgery

Robotic surgery is already a reality in many operating rooms nationwide and used in a variety of surgeries from bariatric and cancer to gynecological and heart valve surgery. GenAI in the surgical setting has multiple applications and benefits, like smaller incisions and greater precision. Surgeons benefit from 3D views of the surgical site, allowing for greater visibility when operating on complex structures. Data shows patients experience less blood loss with robotic surgery and patients often experience faster recovery and less pain after surgery. Since robotic surgery leads to shorter hospitals stays, there’s a reduced strain on post-operative hospital staff by freeing up resources and allowing workers to focus on more critical patient needs.  

  1. Smart wearables

Monitoring patients with wearable technology that delivers granular data to clinicians provides powerful, actionable health data. The smart, wearable healthcare device industry is booming and showing no signs of slowing down. GenAI can quickly analyze large amounts of data collected from devices and identify patterns, leading to better healthcare outcomes and providing more personalized care. By continuously monitoring data from patients, AI-powered wearables can identify potential health concerns early on, meaning better outcomes for patients when there’s timely intervention.  

Embracing AI in healthcare

GenAI is transforming healthcare, creating opportunities to deliver better, faster, and more personalized care. Healthcare workers are at the forefront of this technology revolutions. While not every clinical worker will need to operate AI tools directly, understanding their applications and guiding patients in using wearable tech are vital skills that empower you to enhance patient outcomes.

Embracing technology with curiosity and confidence will set you apart in the job market, as employers value professionals who see innovation as an opportunity rather than a challenge. Ready to dive deeper into the world of AI in healthcare? Numerous free online courses are available to equip you with the knowledge and skills to thrive in this exciting era of healthcare innovation. Take the first step toward becoming a tech-savvy healthcare leader.

Man in plaid shirt, bright background

David McKenzie

VP of Product Design

Check out these other great StaffDNA articles

Healthcare organizations face some of the toughest workforce challenges: tight budgets, lean IT teams and limited tools for sourcing, hiring and onboarding staff. Add in manual scheduling, rising labor costs and high burnout, and the pressure grows. Rolling out complex systems can feel out of reach without dedicated tech support. Even simply evaluating new technology can overwhelm already stretched-thin teams.

These challenges make it clear that technology isn’t just helpful; it’s essential for healthcare organizations. Especially when they’re striving to do more with less. Not only are healthcare organizations falling short on implementing new technology, but they’re struggling to update outdated systems. A 2023 CHIME survey found that nearly 60% of hospitals use core IT systems, such as EHRs and workforce platforms, that are over a decade old. Outdated tools can’t integrate or scale, creating barriers to smarter staffing strategies. But the opportunity to modernize is real and urgent.

Tech in Patient Care Falls Short

In healthcare, technology has historically focused on clinical and patient care. Workforce management tools have taken a back seat to updating patient care systems. Yet many big tech companies have failed when it comes to customizing healthcare infrastructure and connecting patients with providers. Google Health shuttered after only three years, and Amazon’s Haven Health was intended to disrupt healthcare and health insurance but disbanded three years later.

Why the failures? It’s estimated that nearly 80% of patient data technology systems must use to create alignment is unstructured and trapped in data silos. Integration issues naturally form when there’s a lack of cohesive data that systems can share and use. Privacy considerations surrounding patient data are a challenge, as well. Across the healthcare continuum, federal and state healthcare data laws hinder how seamlessly technology can integrate with existing systems.

Why Smarter Staffing Is Now Essential

These data and integration challenges also hinder a healthcare organization’s ability to hire and deploy staff, an urgent healthcare priority. The U.S. will face a shortfall of over 3.2 million healthcare workers by 2026. At the same time, aging populations and rising chronic conditions are straining teams already stretched thin.

Smart workforce technology is becoming not just helpful, but essential. It allows organizations to move from reactive staffing to proactive workforce planning that can adapt to real-world care demands.

Global Inspiration: Japan’s AI-Driven Workforce Model

Healthcare staffing shortages aren’t just a U.S. problem. So, how are other countries addressing this issue? Countries like Japan are demonstrating what’s possible when technology is utilized not just to supplement staff, but to transform the entire workforce model. With one of the world’s oldest populations and a significant clinician shortage, Japan has adopted a proactive approach through its Healthcare AI and Robotics Center, where several institutions like Waseda University and Tokyo’s Cancer Institute Hospital are focusing on developing AI-powered hospitals.

Japan’s focus on integrating predictive analytics, robotics and data-driven scheduling across elder care and hospital systems is a response to its aging population and workforce shortages. From robotic assistants to AI-supported shift planning, Japan’s futuristic model proves that holistic tech integration, not piecemeal upgrades, creates sustainable staffing frameworks.

Rather than treating workforce tech as an IT patch for broken systems, Japan’s approach embeds these tools throughout care operations, supporting scheduling, monitoring, compliance and even direct caregiving tasks. U.S. health systems can draw critical lessons here: strategic investment in integrated platforms builds resilience, especially in a labor-constrained future.

The Power of Smart Workforce Technology

In the U.S., workforce management is becoming increasingly seen as more than a back-office function; it’s a strategic business operation directly impacting clinical outcomes and patient satisfaction. Smart technology tools are designed to improve care quality, staff satisfaction, scheduling, pay rates, compliance and much more.

For example, by using historical data, patient acuity, seasonal trends and other data points, organizations can predict their staff needs more accurately. The result is fewer gaps in scheduling, fewer overtime payouts and a flexible schedule for staff. AI-powered analytics can help healthcare leadership teams spot patterns in absenteeism, see productivity and forecast needs in multiple clinical areas in real-time. Workforce management tools can help plan scheduling proactively, rather than reactively. It’s a proven technology tool that can help drive efficiency and reduce costs.

Why So Many Are Still Behind

Despite the clear benefits, many healthcare organizations are slow to adopt smart tools that empower their workforce. Several things are holding them back from going all-in on technology:

Financial Pressures

Over half of U.S. hospitals are operating at or below break-even margins. For them, investing in new technology solutions is financially unfeasible. Scalable, subscription-based and even free workforce management tools are available, but most organizations are unaware of or lack the resources to source these products. Workforce management tools can deliver long-term return on investment for most organizations. Taking the time to understand where the value lies and which tools to invest in needs to happen.

Outdated Core Systems

Many facilities still depend on legacy technology infrastructure that lacks real-time capabilities. Many large players in the healthcare workforce management industry dominate hospital systems. Other smaller, real-time tools that offer innovative solutions to scheduling, workforce hiring, rate calculators and more are available at a fraction of the cost.

Competing Priorities and Strategic Blind Spots

Healthcare organizations and hospitals have many high-priority business objectives and regulatory demands. Digital transformation naturally falls down on the priority list, which causes them to miss improvements that can lead to long-term stability. With patient care and provider satisfaction at the top of the priority mountain, technology changes can be easily missed or shoved to the side when other business objectives are perceived to “move the needle” more.

Poor Change Management

Even the best technology efforts can fail without the right strategy for adoption and support from senior leadership. Resistance from staff, lack of training, or poor rollout communication can undermine success. Effective change management—clear leadership, role-based training and feedback loops—is essential.

Faster than the speed of technology

Change needs to come quickly to healthcare organizations in terms of managing their workforce efficiently. Smart technologies like predictive analytics, AI-assisted scheduling and mobile platforms will define this next era. These tools don’t just optimize operations but empower workers and elevate care quality.

Slow technology adoption continues to hold back the full potential of the healthcare ecosystem. Japan again offers a clear example: they had one of the slowest adoption rates of remote workers (19% of companies offered remote work) in 2019. Within just three weeks of the crisis, their remote work population doubled (49%), proving that technological transformation can happen fast when urgency strikes. The lesson is clear: healthcare organizations need to modernize faster for the sake of their workforce and the patients who rely on providers to deliver care.

 

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