According to the Mercer Future of the US Healthcare Industry, Healthcare Labor Market Projections by 2028, it expects a shortage of about 100,000 critical health care workers by 2028. The Association of American Medical Colleges (AAMC) projects a shortage of up to 124,000 physicians by 2034.The American Hospital Association estimates that the US will need to hire at least 200,000 nurses a year to meet rising demands. The question is no longer will AI take the professional’s job but how can we use AI to fill the future voids we are predicting. AI-powered automation can enable staff to spend less time on routine administrative work and shift their attention to areas where they add more value, like direct care and patient-facing activities. Are we investing in AI innovation that will help us in our biggest future challenge?
We asked our experts what more they think we will see in 2025. Here is what they had to say. And check out all our prediction posts looking to 2025.
Lani Bertrand, RPh, Senior Director of Clinical Marketing & Thought Leadership, Omnicell
LinkedIn: Lani Bertrand
Technology as the Solution to Labor Shortages
With the healthcare sector grappling with staffing shortages and burnout, technology will be key in filling gaps and improving workforce efficiency. Pharmacy vacancy rates average 4.3% of full-time pharmacist positions and 9% of full-time pharmacy technician roles in hospitals. The number of hospital pharmacist job postings has risen significantly, up 12% in Q1 2024 compared to the previous year – indicating a growing gap in staffing levels within hospitals. Shortages also extend to the academic level, with pharmacy schools seeing record-low enrollment rates. There will be an increased focus on exposing future pharmacists and clinicians to the opportunity for technology to alleviate inefficient processes and workflows in medication use, while providing key insights to pharmacy inventory management, freeing up healthcare workers to focus on the critical aspects of patient care. As labor shortages continue to put pressure on the system, technology will not just improve productivity—it will be a lifeline for the industry, allowing hospitals to meet growing demands with fewer resources.
Pharmacists at the Bedside, Not the Basement
Pharmacists are a critical part of the care team, but inefficient manual processes in medication management oftentimes mean they are spending more time on administrative tasks rather than high-impact care activities. Automating process across the medication use process through a combination of robotics and smart devices, supported by intelligent software workflows, will free pharmacists to focus on things like optimizing medication plans and patient consultations, elevating their role as essential, active members of the care team who can directly impact patient outcomes.
Daniel Blumenthal, Vice President of Strategy, MDClone
LinkedIn: Daniel Blumenthal
Advancements in AI have laid the groundwork for a new era of healthcare delivery. As data becomes more accessible and more reliable and AI tools more specialized, healthcare organizations will gain the ability to much more effectively use their workforces to explore data to identify insights and integrate those insights into decision making. Soon, we will see this workforce trusting AI to be capable performing common tasks within the day-to-day of healthcare operations, driven by solutions that have been trained and validated on privacy protected and high quality data feeds. This combination of self-service exploration and AI powered insights will be a profound change in how we deliver more effective, more equitable, and more efficient care.
Mike Cardamone, CEO, Forum Ventures
LinkedIn: Michael Cardamone
- Staffing shortages are potentially the number one challenge for health systems right now. Pre-pandemic, there were already difficulties recruiting and retaining sufficient staff, particularly in specialized roles and in rural areas. During the pandemic this worsened as 100,000 nurses exited the workforce, and projections indicate that by 2027, nearly 900,000 nurses — which is close to one-fifth of the total 4.5 million registered nurses — plan to leave their positions. With fewer doctors, nurses, and administrators, there has been a strain put on current staff causing both burnout and prolonged hospital admissions, directly impacting patient outcomes and the bottom line.
- Hospitals are looking for ways to create operational efficiencies that create the capacity for staff to provide better patient care. There are many exciting and innovative solutions in the works, and a lot of white space still to be filled. Some major hospital systems, for example, are utilizing geo-tagging and computerization for hospital carts to precisely track the location and amount of medical supplies and equipment within the hospital in real-time. This both manages inventory and ensures that the necessary equipment is readily available where and when it’s needed, enabling on-the-floor staff to deliver better, faster care.
Betsy Castillo, RN, Director of Clinical Data Abstraction, Carta Healthcare
LinkedIn: Betsy Castillo
In 2025, AI will be pivotal in addressing workforce challenges in healthcare, especially in nursing. AI-driven solutions will streamline administrative tasks, reducing the burden on clinical staff and allowing them to focus on direct patient care. Predictive analytics will help manage staffing levels efficiently, ensuring optimal staff allocation and reducing burnout. AI will also support training and development through personalized learning platforms, enhancing workforce skills and improving patient outcomes. This integration of AI will lead to a more efficient, satisfied, and effective healthcare workforce.
Stacey Caywood, CEO, Wolters Kluwer Health
LinkedIn: Stacey Caywood
Amid staffing shortages, 2025 will see AI helping future clinicians get on a fast track to practice-readiness. Nursing education tools are being wholly rethought to leverage the capabilities of AI. For example, AI has the potential to boost nurses’ licensure prep so students learn from mistakes with smarter, more personalized reinforcement. Look for AI chatbots to transform virtual reality training by providing lifelike conversations with virtual patients. AI will also accelerate the development and adoption of clinical practice changes as hospital nursing leaders turn to AI to power the often-cumbersome process of updating nursing practice protocols.
Vivek Desai, Chief Technology Officer, North America, RLDatix
LinkedIn: Vivek Desai
AI-driven solutions will continue to play a critical role in overcoming persistent healthcare workforce challenges by automating routine tasks, improving data accuracy, and freeing up time for frontline workers. One of AI’s most impactful contributions will be its ability to streamline reporting and documentation processes. Administrative tasks consume significant amounts of time, detracting from direct patient care. By leveraging generative AI tools, healthcare staff can dictate reports verbally or rely on AI to extract structured data from unstructured text. This will save hundreds of hours annually for hospitals, enabling staff to spend more time on patient-focused efforts.
By automating time-consuming tasks, AI will also reduce burnout among healthcare workers, fostering a more sustainable work environment. The ability to analyze vast datasets in real time will allow organizations to anticipate risks, enhance preventative care and focus resources where they are needed most. As we continue to grapple with staff shortages and increasing administrative burdens, these tools will not only redefine how care is delivered and managed but also elevate the safety and quality of care provided.
Kelly Dries, Director of Nursing Program Success, Wolters Kluwer Health
LinkedIn: Kelly J. Dries Ph.D., RN
In 2025, the use of technology in onboarding new nurse educators will evolve to offer tailored training pathways through simulations, interactive modules, and AI-enhanced learning platforms. The industry is facing a massive influx of new nurse faculty that is rapidly growing to meet with the demand of nursing students. Onboarding both educators and students with plug and play technology will be key for finding efficiencies and continuing to graduate nursing students who are ready for real world practice.
Yaw Fellin, Vice President, Product and Solutions, Clinical Effectiveness, Wolters Kluwer Health
LinkedIn: Yaw Fellin
We know that in healthcare, seconds matter. When clinicians and other healthcare team members can save even a small amount of time through reduced administration or faster access to clinical information, it can make a big impact. In 2024, the rapid acceleration of ambient AI throughout the healthcare system proved the importance of time savings and redefined how we value efficiency. In 2025, I anticipate we’ll see an increase in innovation and integrations to bring evidence-based recommendations directly into the clinical workflow, reducing the number of clicks needed to improve documentation, provide patient education and receive clinical decision support. Just a few seconds can make all the difference in healthcare, and with each click saved, we can significantly reduce the cognitive burden on our healthcare professionals, and foster more meaningful interactions with patients.
Gary Hamilton, CEO, InteliChart
LinkedIn: Gary Hamilton
AI will be instrumental in addressing workforce challenges by automating repetitive tasks and supporting decision-making, freeing up clinicians to focus on complex care needs. Patient engagement tools that improve communication and interaction between patients and providers will reduce stress and burnout among healthcare staff. AI will also help identify gaps in workforce efficiency and propose actionable solutions to optimize resource allocation. By blending automation with human expertise, providers will create a more sustainable and supportive work environment.
Caryn Hewitt, Senior Director, Consulting Services, CenTrak
LinkedIn: Caryn Hewitt, MBA, BSN, CENP, CPHQ
AI & Automation in Healthcare
- Increased Efficiency and Physician Productivity: One of the major shifts expected in 2025 is the integration of AI-powered tools to streamline documentation. For example, AI will enable prescribers’ voices to be transcribed directly into patient files and notes, reducing the administrative burden on healthcare providers. This means physicians won’t need to touch a computer while with a patient, allowing them to focus on care and increasing patient throughput.
- AI-Driven Patient Monitoring: One of the key ways AI will improve patient experience in 2025 is through remote monitoring tools. For example, AI could be used to monitor patient vitals (e.g., blood pressure) and automatically trigger follow-up actions, such as a nurse or healthcare worker reaching out to the patient to provide advice or check in. This kind of proactive engagement could significantly improve health outcomes and patient satisfaction.
- Virtual Nursing and AI Monitoring: Virtual nursing technology will allow nurses to monitor patients remotely through AI-powered systems. For example, virtual nursing assistants could be connected to staff duress systems that alert virtual nurses if a nurse needs immediate assistance. This combination of virtual observation and AI will help alleviate strain on healthcare workers while maintaining high standards of patient care.
- Job Impact and Smarter Tech: As AI continues to evolve, its impact on the workforce will be significant. Automation will reduce the need for some jobs (e.g., transcriptionists), while also creating new opportunities, particularly in data science, analytics, and customer service roles. For instance, AI-driven chatbots will become central to customer service, improving responsiveness and engagement.
Kyle Hicok, EVP and Chief Commercial Officer, R1
LinkedIn: Kyle Hicok
In 2025, providers will continue using AI to address staffing challenges in revenue cycle management (RCM) by automating repetitive tasks such as claims processing, eligibility verification, and denial management. These systems will reduce the dependency on manual labor, allowing limited clinical staff to focus on higher-value activities. By increasing efficiency and scalability, AI will enable providers to manage growing workloads without compromising performance or staff well-being.
Lissy Hu, CEO, Ascend Learning
LinkedIn: Lissy Hu
AI’s role in training the healthcare workforce will be just as impactful as its role supporting clinical decisions or back-office functions. Many of the most-discussed use cases for AI in healthcare are related to how it can help with administrative tasks or make clinicians’ jobs easier. Those are impactful use cases, but an overlooked value proposition for AI is its ability to make workforce learning solutions more effective. AI models can make learning more personalized, and educators who have implemented these tools are already seeing results. That progress will accelerate in 2025 and prove to be one of the most beneficial AI use cases.
Jim Jacobs, CEO, MediQuant
LinkedIn: Jim Jacobs
AI will play a pivotal role in transforming the healthcare workforce in 2025, particularly in addressing non-clinical inefficiencies. While AI is unlikely to replace staff, it will enhance productivity by automating mundane, repeatable tasks. Specifically, AI will reduce system friction points by streamlining the admit process, ensuring complete and accurate patient intake forms and identifying potential denial issues. These advancements will increase efficiency, improve financial outcomes, and reduce administrative burdens. However, the adoption of AI will require careful vetting, deployment, and integration into existing workflows.
True success will be measured not by implementation alone, but by the tangible benefits AI delivers to hospitals and health systems. For example, better use of patient accounting data to refine payer scorecards and improve denial management patterns is an area poised for growth. These practical use cases will drive noticeable improvements in operational efficiency and financial stability.
The integration of AI will also demand expanded roles for IT staff, particularly in creating testing environments, vetting technologies, and ensuring seamless adoption. CIOs and CISOs will need to collaborate more closely to align AI initiatives with security and compliance priorities. While niche clinical AI advancements—such as predictive analytics for specific disease states—are likely to come from vendors or research institutions, hospitals will focus on leveraging AI for operational and administrative gains.
Enhancements in clinical workflows, such as reducing alert fatigue or improving physician compliance, will likely emerge as incremental but meaningful upgrades. Ultimately, while AI won’t revolutionize healthcare staffing in the short term, its ability to streamline operations and enhance decision-making will make it a key driver of efficiency and resilience in the workforce of 2025. The future of AI has many amazing possibilities across the healthcare continuum. We expect 2025 to be filled with incremental steps along that path.
Ram Krishnan, CEO, Valant
LinkedIn: Ram Krishnan
In the quest for labor productivity, organizations first used technology, then moved labor off-shore, in 2025, we will witness the rise of “AI labor” as the next frontier of that productivity. Imagine labor that never sleeps, works 24 hours a day, can grow and shrink as you need it and when you need it, and only charges you for when its productive.
Lee Lamey, Chief Information Officer, Confluent Health
LinkedIn: Lee Lamey
AI in the workplace setting is a tool that can be used to advance not only the productivity of the teams, but also prevent shortages and burnout. Organizations gain a lot by upgrading data sets for AI’s use, giving accurate representations to their workplace functionality. For example, AI can streamline hiring recruitment processes, repetitive management tasks to optimize operations, predict trends to improve decision making, and more. Each of these benefits allows for time optimization for employees, decreasing employee burnout. However, there are also some challenges to consider, including the possibility of data breaches with more information being automated digitally. Safeguarding patient data and ensuring compliance with industry regulations is paramount to prevent privacy risks and maintain trust in AI-driven systems. Additionally, some are concerned that these technologies will eventually replace the tasks that employees complete, resulting in a decrease in job opportunities. While not perfect, AI is a cutting-edge technology that is transforming our workflow processes daily.
Joseph (Yossi) Mossel, CEO, Ibex Medical Analytics
LinkedIn: Joseph (Yossi) Mossel
AI will continue to be instrumental in addressing the growing workforce challenges in healthcare, particularly pertaining to the global shortage of pathologists and their increasing caseloads driven by rising cancer diagnoses. AI will help pathologists manage their workloads more effectively, improving diagnostic efficiency and reducing delays. By automating routine tasks, AI can lower error rates, ensuring diagnoses are as accurate as possible, every time, and ultimately boosting pathologists’ confidence in their work. I firmly believe that AI, together with a human in the loop, is the best combination.
Ryne Natzke, Chief Revenue Officer, TrustCommerce, a Sphere Company
LinkedIn: Ryne Natzke
It seems like there are more studies and warnings about the continued and expanding staffing shortage in healthcare every month. These trends seem destined to continue and finding ways to keep staff across clinical, operational, and administrative functions focused on the most challenging, value-adding tasks will be key in maintaining growth. Using technology, including new AI tools, to support your existing staff by automating mundane tasks and assisting them with the challenging ones will help keep your teams engaged and happy.
David Navarro, Senior Director of Data Science, Harmony Healthcare IT
LinkedIn: David Navarro
Development of API Workflows with Payers
I predict the rapid development of provider-payer APIs. The new HTI-2 rule proposes the development and adoption of APIs to streamline the provider-payer workflow. These APIs will facilitate quicker prior authorizations and seamless data transfer across different patient health plans. By automating these processes, we anticipate significantly reducing the time it takes to obtain payer approvals, potentially shifting the timeline from days or weeks to mere hours.
John Orosco, CEO, Red Rover Health
LinkedIn: John Orosco
AI will be pivotal in addressing workforce challenges by automating repetitive tasks, streamlining workflows, and mitigating burnout. Ambient technologies and conversational AI will transform documentation processes, enabling clinicians to spend more time on patient care and less on administrative tasks. Rapid deployment of these tools will be essential to support overburdened healthcare teams in 2025 and beyond.
Kevin Paroda, Director of Global Product Management, Hardware, CenTrak
LinkedIn: Kevin Paroda
AI & Automation in Healthcare
- Integration of AI into Hospital Operations: In 2025, hospitals are likely to see increased use of AI tools to intersect with key operational processes like supply chain management, material delivery, and patient discharge. These AI applications will aim to improve efficiency in hospital operations.
- AI to Support Healthcare Workforce: AI tools are expected to reduce the administrative load on healthcare staff, which could help address staffing challenges and improve workforce efficiency.
- AI-Driven Scribe Tools: AI tools, particularly in the form of “scribe” technologies, are expected to be widely adopted in healthcare. These tools will help automate documentation and administrative tasks, streamlining workflows for healthcare professionals.
Kel Pults, DHA, MSN, RN, NI-BC, NREMT, Chief Clinical Officer and VP Government Strategy, MediQuant
LinkedIn: Kel Pults
In 2025, AI will play a transformative role in data extraction, mapping, loading, and analysis within healthcare. By leveraging machine learning, AI can simplify the extraction of data from various systems, reducing the need for labor-intensive, hands-on processes. This not only speeds up workflows but also enhances the consistency and accuracy of data mapping, leading to more efficient data archiving. As a result, organizations may require fewer highly skilled workers for these tasks, ultimately lowering project costs and increasing efficiency.
While AI adoption may reduce the demand for certain skill sets, it won’t eliminate the need for human oversight—especially in healthcare, where understanding the context of data is critical. The evolving workforce will likely see a shift toward a blend of specialized and lower-skill positions, with AI handling much of the repetitive, high-skill tasks. Workers will focus on practical, task-specific expertise, supporting AI-driven processes while ensuring quality and accuracy remain at the forefront.
Amy Raymond, SVP of Revenue Cycle Operations and Deployments, AKASA
LinkedIn: Amy Raymond
Generative AI offers a transformative solution to workforce challenges in healthcare, addressing hiring delays, staff shortages, and burnout among professionals. This technology will be particularly beneficial in 2025 for the overburdened revenue cycle. Today’s reality is that open RCM positions often take months to fill, adding strain to existing teams and driving up costs. GenAI helps bridge these gaps by acting as a virtual assistant, enabling staff to work smarter and more efficiently. For instance, it reduces the time and expertise needed for complex tasks like coding, prior authorizations, and denial management by providing on-demand clinical insights previously limited to highly trained or overextended staff.
This technology doesn’t replace employees; it empowers them. By handling repetitive, time-consuming tasks, it allows teams to focus on higher-value activities, improving job satisfaction and reducing burnout. Additionally, equipping staff with cutting-edge tools like GenAI enhances their professional growth, providing experience with innovative technologies that are reshaping healthcare. Leaders should view GenAI as an opportunity to reduce hiring pressures, increase productivity, and foster a more engaged workforce, creating a sustainable path forward in a demanding industry. In short, GenAI is not just a tool for efficiency — it’s a catalyst for transforming workforce dynamics in the revenue cycle.
Lance Reid, CEO, Telcion Communications Group
LinkedIn: Lance Reid
In 2025, AI will play a critical role in addressing workforce challenges, particularly provider burnout and staffing shortages. Many providers today are overwhelmed by the pressure to see 30+ patients per day while also keeping charts updated in a timely manner—a key contributor to burnout. AI has the potential to ease this burden by automating charting and other administrative tasks, giving clinicians more time to focus on patient care.
However, the cost of implementing AI tools remains a significant barrier. For these solutions to truly make an impact, healthcare organizations will need to prioritize investments that enhance efficiency and support their overburdened teams. Balancing these costs with the long-term benefits will be crucial in the adoption of AI-driven workforce solutions.
Clarissa Riggins, Chief Product Officer, Experian Health
LinkedIn: Clarissa Riggins
Given the ongoing challenges within the revenue cycle industry, leading health systems are outsourcing RCM to support financial sustainability and growth. I suspect we will continue to see this trend increase, alongside the hopes that healthcare organizations increasingly turn to automation and AI to streamline processes and reduce administrative burdens. I expect more sophisticated systems will be used to provide accurate price transparency, helping providers comply with regulations and offer clearer pricing to patients. AI-based tools are a promising way to reduce RCM costs and improve both the employee and patient experience. Embracing these technologies will be key for revenue cycle leaders to stay ahead in an evolving landscape.
Jeff Robbins, Founder and CEO, LiveData, Inc.
LinkedIn: Jeffrey (Jeff) Robbins
As we look toward 2025, AI-powered tools will be refined to streamline clinical workflows that not only address clinician shortages and workflow inefficiencies but also significantly improve patient care and outcomes. With a focus on frontline staff, these new solutions will be designed with input from healthcare providers, ensuring that they truly meet the needs of clinicians and improve their day-to-day experiences. By automating routine tasks and providing intelligent assistance, AI will allow healthcare professionals to focus more on patient care and less on administrative burdens.
Shashank Saxena, a Managing Partner, Sierra Ventures
LinkedIn: Shashank Saxena
LLMs will transform knowledge work. LLMs are no longer just tools to fix broken workflows, as RPA once was. They are becoming central intelligence systems, capable of ingesting data, generating outputs, and redefining productivity. This shift positions LLMs as the cornerstone of GenAI’s value.
Jeff Schar, Managing Director, Sendero
LinkedIn: Jeff Schar
AI will continue to support recruitment processes by leveraging data-driven insights to match candidates more precisely with roles through predictive analytics. This refined process has the potential to both improve experience and reduce bias. There will also be an increase in the automation of routine tasks like scheduling and documentation to help alleviate the administrative burden being compounded by staff shortages, allowing employees to focus on patient-facing interactions and responsibilities.
Despite its rapid adoption, AI remains a relatively new technology and its success depends on thoughtful implementation. Organizations must establish robust processes, provide training and ensure ongoing monitoring to maximize its potential while avoiding pitfalls such as over-reliance or misalignment with workforce demands. By combining AI’s capabilities with human oversight and strategic planning, companies can effectively navigate workforce challenges, creating environments that are both innovative and supportive in the year ahead.
Jonathan Shoemaker, CEO, ABOUT Healthcare
LinkedIn: Jonathan Shoemaker
AI-powered systems optimizing patient flow will play a critical role in addressing workforce shortages and burnout in 2025. By automating routine tasks and providing clinicians with real-time insights into patients’ transition needs, these systems will optimize workflows and alleviate stress. Enhanced patient throughput will also improve resource allocation, enabling staff to focus on high-impact care. This supportive environment will improve job satisfaction, reduce turnover, and create a more sustainable workforce.
Julie Stegman, Vice President, Health Learning & Practice, Wolters Kluwer Health
LinkedIn: Julie Stegman
In today’s evolving healthcare landscape, the fusion of Artificial Intelligence (AI) and Virtual Reality (VR) will transform how students, residents, researchers and “new to practice” providers, nurses and healthcare professionals develop essential skills. By integrating AI and VR, healthcare educators can create immersive learning environments, personalized learning paths, and real-world simulations that mirror what life will be like when caring for patients. In addition to building clinical skills and developing clinical judgment, learners develop the interpersonal “soft” skills necessary for high-quality care, improving the overall readiness of healthcare professionals entering the workforce. These expert solutions can help decrease the time it takes to onboard and ease the transition growing pains new employees can face.
Holly Urban, MD, Vice President, Business Development-Strategy, Clinical Effectiveness, Wolters Kluwer Health
LinkedIn: Holly Urban, MD, MBA
In 2025, GenAI in healthcare needs to shift from potential to practical value, focusing on delivering tangible benefits for professionals and patients in the system. With this transition from hype cycle to value cycle we will continue to see focus on how GenAI can reduce some of the administrative burden of providers with tools such as ambient scribes. I’m most excited about the application of GenAI in healthcare operations such as automation to support billing and coding or prior authorization workflows. Improved efficiency is always a top priority with healthcare leaders, but the continuing friction between payers and providers, coupled with potential regulatory changes with the new administration, will make this focus even sharper; GenAI can play a critical support role.
Venkatgiri (Giri) Vandali, President of Healthcare and Life Sciences, Firstsource
LinkedIn: Venkatgiri Vandali
Healthcare organizations will need to imagine how their existing workforce can use today’s AI and how they will equip future hires with AI capabilities. These shifts will require organizations to take new approaches to hiring, to training, to continuous learning to remain relevant. Existing employees likely will need reskilling to work efficiently with AI, while Gen Z employees, who are AI natives, already think and work differently. The good news is businesses are seeing game-changing results in terms of upskilling and reskilling employees with highly personalized training produced by generative AI. This customized training and ongoing support will help organizations transition to AI-enabled work with greater speed and efficiency.
Rajesh Viswanathan, Chief Technology Officer, Inovalon
LinkedIn: Rajesh Viswanathan
Though healthcare is often viewed as a technology laggard, AI is a powerful force multiplier, poised to revolutionize the care continuum by personalizing patient interactions, accelerating drug development, and enhancing the “behind the scenes” work that keeps healthcare running. 2025 will mark a pivotal step toward the mass adoption of AI for decision-making support, aiding in determining diagnoses, identifying treatment opportunities, ensuring accurate documentation and reporting, supporting the revenue cycle, and much more. Those who lean into the potential of AI will achieve more efficient, impactful, and patient-centric care.
However, healthcare cannot afford to cut corners on foundational accuracy – there is no AI strategy without a modern, primary source data strategy. Scaling broken systems will magnify errors and erode patient trust in the healthcare system, which could take years to rebuild. In the new year, we’ll see more patients question technology’s role in healthcare as they realize the criticality of outcomes, and we must be prepared to give them positive examples of AI at work to support their care, as well as provide better explainability around AI-driven decisions. Misdiagnoses, biased algorithms, or overreliance on technology are critical risks – and in healthcare, that can mean life or death.
This challenges healthcare professionals to strike the right balance: embrace AI-driven opportunities, while maintaining a healthy skepticism to ensure safety and reliability.
Ashley Walsh, Chief Revenue Officer, LeanTaaS
LinkedIn: Ashley Walsh
It’s become clear that staffing shortages are here to stay, but how health systems choose to respond is where the biggest impact can be made. For instance, health systems are still using “institutional knowledge,” “gut feelings,” and “past performance” to allocate and plan staffing resources, and those traditional methods fall short time and time again. Significant advancements in making predictions based on supply-demand matching have now been available for more than a decade – yet, many health systems are just beginning to catch up with the technology.
Peyman Zand, Chief Strategy Officer, CereCore
LinkedIn: Peyman Zand
In 2025, Artificial Intelligence will continue to reshape the healthcare landscape by driving efficiencies across both clinical and non-clinical domains. AI’s impact on back-office operations such as HR, IT, and finance will lead to greater automation and improved decisions, which will boost organizational efficiency. However, the role of AI in clinical settings will evolve more cautiously. AI will offer predictive analytics, assist with early detection of diseases such as cancer, and support personalized patient care.
As the technology advances, the healthcare industry will grapple with regulatory concerns and ethics, spurring discussions around policy frameworks and governance in clinical AI applications.
Patient experience will be revolutionized by AI-enabled monitor systems, wearable devices, and telehealth platforms, offering patients more control over their health. AI will drive personalized care by facilitating real-time analysis of patient data, particularly in chronic conditions and mental health. These benefits will facilitate interventions and better outcomes.
As remote monitoring devices and telemedicine become more prevalent, we will see enhanced care coordination, reduced costs, and improved access, especially in underserved areas. Augmented Reality (AR) and Virtual Reality (VR) are expected to find mainstream applications in both clinical and patient-oriented tools. We anticipate an enriched healthcare experience made possible with interactive and immersive technologies.