AI and Automation in Healthcare – 2025 Health IT Predictions

As we wrap up another year and get ready for 2025 to begin, it is once again time for everyone’s favorite annual tradition of Health IT Predictions! We reached out to our incredible Healthcare IT Today Community to get their insights on what will happen in the coming year and boy did they deliver. We in fact got so many responses to our prompt this year, that we have had to narrow them down to just the best and most interesting. Check out the community’s predictions down below and be sure to follow along as we share more 2025 Health IT Predictions!

Check out our community’s AI and Automation predictions!

Kim Perry, Chief Growth Officer at emtelligent
As we move into 2025, the sheer volume and complexity of healthcare data will surge beyond what any human team can realistically process. Medically aligned AI and AI-driven automation won’t just be tools, they’ll be the backbone of efficient, quality-driven care, transforming data into actionable insights that impact patient outcomes in real time. From flagging urgent findings to ensuring timely follow-ups, these technologies will bridge critical gaps, making precision care scalable and truly patient-centered.

Sameer Bhat, Co-Founder and VP of Sales at eClinicalWorks
In 2024, AI became accepted across the healthcare industry. Adopting AI is no longer a choice – it is critical for healthcare providers to thrive and remain competitive. The healthcare industry faces a supply-and-demand challenge, and AI-powered contact centers will be game-changers. Front offices are incredibly busy answering medical questions, managing appointments, and facilitating prescription refills. AI-powered agents will help practices that struggle to manage the high volume of inbound and outbound calls. We strongly believe that in 2025, AI-powered agents will become mainstream in practice operations, helping manage 50-60% of front-office administrative tasks.

In 2024, we saw an increase in the use of AI medical scribes. Providers are saving more than two hours daily on clinical documentation, improving efficiency and the quality of notes. We predict that more than 60% of visits—even those conducted in a multilingual setting—will be powered by medical AI scribes from traditional SOAP notes and multimodal notes. AI medical scribes have transformed patient visits by silently working in the background, turning patient-provider conversations into draft clinical documentation, and drastically helping alleviate burnout.

RCM will be managed by AI-powered agents every step of the way, including generating appeals letters, submitting appeals to payers, and converting paper EOBs to ERAs. These are rule-based, repetitive tasks. In 2025, we predict that using AI-powered agents will reduce the cost of Revenue Cycle Management (RCM) by 70%, helping streamline the end-to-end billing process.

Administrative costs have skyrocketed over the years. AI-powered solutions will reduce the overall cost of care and enhance practice efficiency

Karie Ryan, Chief Nursing Officer, DNP, MS, RN, CENP at Artisight
The future of nursing workflow optimization lies in ambient intelligence that anticipates needs rather than creating additional documentation burdens. As healthcare technology evolves, we’ll see a fundamental shift toward systems that silently augment clinical work rather than demanding constant interaction. This evolution will finally begin addressing the core issues driving nurse burnout.

Emily Bonham, Senior Vice President of Product Management at AGS Health
AI and Automation in healthcare will continue to rise and refine, particularly in revenue cycle management and other administrative areas. We will also continue to see a reduction in administrative burdens for clinical staff with the deployment and refinement of ambient technology at the point of care. I believe we’ll reach a point where physicians begin to see technology as more helpful rather than intrusive or cumbersome, which has been a struggle and balance in their interaction with EHRs over the past 10 years. I believe the industry needs to leave room for technology disruptors as the EHR industry consolidates into a small handful of companies. We need to not lose sight of all the opportunities to save time, reduce costs, and improve patient care.

Daniel Blumenthal, Vice President of Strategy at MDClone
By automating routine tasks and delivering context-specific information, generative AI holds the potential to alleviate many of the healthcare industry’s most vexing, longstanding problems, such as clinician burnout, patient engagement, and access to care. However, to succeed with AI, front-line workers will need to build more trust in AI. Doing so will require organizations to invest in data systems and techniques to produce reliable and privacy-protected data that can be used to train, validate, and deliver reliable outputs from AI models.

Sandra Johnson, Senior Vice President, Client Services at CliniComp
In 2025, AI and automation will be integral to EHR systems, beginning with platforms designed to seamlessly integrate these innovations while ensuring data accuracy, security, patient privacy, and interoperability. Machine learning and AI, embedded within EHRs, will significantly enhance workflow efficiency, reducing cognitive load and improving the user experience. By prioritizing continuous innovation and incorporating user feedback, EHR systems will evolve to meet the dynamic needs of modern healthcare, ultimately boosting clinician satisfaction and improving patient outcomes.

Don Woodlock, Head of Global Healthcare Solutions at InterSystems
The use of AI will reimagine every aspect of our healthcare systems, and I believe we’ll start to see this manifest itself in some truly meaningful ways in 2025. There are already several use cases that leverage AI for things like ambient listening and patient portal messaging, but several more are poised to break onto the scene next year. I’m particularly enthusiastic about the already positive impact of ambient listening in the market – physicians are raving about how much time it saves them and allows them to focus completely on the patient and not the computer.

Chris Riopelle, Co-Founder and CEO at Strive Health
2025 is poised to be a transformative year for AI in healthcare, with groundbreaking advancements reshaping clinical, operational, and financial workflows. New technologies will not only drive more informed decision-making but also enhance “consumer-style” patient engagement, enabling greater efficiency across the board. AI-enabled digital health solutions will also expand their footprint in areas like early and accurate diagnosis, personalized treatment protocols through wearable technology, remote monitoring, chatbots, interactive apps, and more.

These innovations will redefine patient care while simultaneously alleviating administrative burdens. AI and machine learning will elevate healthcare delivery by improving diagnostics and enabling early detection through predictive modeling. On the operational side, these tools will streamline workflows, reduce human error, and cut overhead costs unlocking significant value for care providers. As healthcare leaders, embracing these advancements isn’t just about adapting to change, it’s about leading the charge toward a more efficient and patient-centered future.

Frederico Braga, Head of Digital and IT at Debiopharm
AI has the potential to drive greater adoption and impact, particularly in sectors like healthcare, if we address two key areas: user adaptation and strategic innovation. Rather than focusing on the misconception that AI will replace humans, we should emphasize its role in enhancing human capabilities and optimizing productivity. This requires organizations to define clear, practical use cases for AI, integrate it seamlessly into existing workflows, and actively manage change to shift user perceptions. By fostering collaboration between humans and AI, we can unlock its full potential to streamline processes and achieve better outcomes, especially in critical areas like healthcare.

Brian Covino, Chief Medical Officer at Cohere Health
AI is transitioning from a conceptual tool to a practical asset in healthcare. In 2025, AI is expected to play a pivotal role in refining the prior authorization process, particularly for providers. Machine learning algorithms are already automating data intake and streamlining workflows, helping providers spend less time on administrative tasks. AI/ML-driven prior authorization decision-making will continue to advance, identifying appropriate care paths, flagging incomplete submissions, and guiding care choices based on evidence-based medicine, ultimately resulting in faster approvals and fewer denials. Overall, the use of AI to reduce the administrative burden on providers, cut review time and costs for payers, and enable faster access to appropriate care will continue to expand.

Caleb Manscill, President at Vyne Medical
As the healthcare industry faces limited resources and rising demands, the adoption of AI-driven technologies is poised to accelerate in 2025, transforming care delivery and management. With the workflow automation market projected to grow from $7.1 billion in 2024 to $10.9 billion by 2029, data-driven tools are enhancing efficiency across the board. AI empowers healthcare teams with actionable insights, streamlining decision-making, improving clinical workflows, reducing data transcription times by over 90%, and optimizing staffing and resource management. By integrating AI into clinical processes, providers can achieve greater efficiency, cost savings, and improved patient outcomes while focusing on delivering high-quality care.

Kevin Paroda, Director of Global Hardware, Product Management at CenTrak
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. While AI transcript doesn’t directly address safety in the context of the workforce, the broader use of AI and automation may contribute to improving the safety of healthcare workers by streamlining tasks and reducing human error in complex processes.

Kevin Erdal, Senior Vice President of Transformation and Innovation Services at Nordic
AI has yet to revolutionize healthcare in the ways predicted early in the hype cycle, but advancements in 2025 could be the year AI starts to gain traction in clinical decision-making, improving patient outcomes and reducing clinician burnout. Ambient voice technology and predictive analytics are making the promise of AI a reality with real-time, evidence-based insights at the point of care, enabling proactive interventions and personalized treatment.

However, strong partnerships between healthcare organizations, technology providers, and policymakers will be key to scalable and sustainable innovation and adoption, paving the way for more seamless integration of AI into clinical workflows. Success hinges on balancing technology with empathy, using AI to complement, not replace, the human connection in care. By augmenting clinicians’ capabilities, AI and automation will make healthcare more proactive, precise, and patient-centered.

Gregg Sherman, Principal, Quality and Compliance Solutions at IQVIA
Integrating AI in manufacturing/production is revolutionizing quality control and operational efficiency. AI’s real-time monitoring of critical parameters enables immediate quality decisions and equipment adjustments that enhance production efficiency, drive rapid trend identification and root cause analysis, help minimize downtime when deviations occur, and support effective corrective actions. In predictive maintenance, AI monitors equipment performance and identifies potential component failures before they happen, allowing for proactive maintenance planning. Automating schedule management and maintenance work orders frees staff to focus on core production tasks rather than administrative duties. Environmental monitoring, particularly in sterile rooms, represents another crucial AI application. The technology enables real-time monitoring of environmental conditions and gowning practices, helping prevent sterility issues before they develop.

Hari Prasad, CEO at Yosi Health
AI-powered virtual assistants will become increasingly sophisticated, handling routine tasks like appointment scheduling, medication reminders, and answering patient questions. This will improve patient engagement and satisfaction while freeing up healthcare professionals to focus on patient care.

Enhanced Patient Experience: AI-powered chatbots and virtual assistants can provide 24/7 support, answering patient questions and addressing concerns promptly. This will improve the overall patient experience and satisfaction.

Automation of Administrative Tasks: AI will automate routine administrative tasks such as pre-authorizations, appointment booking, insurance verification, and medical record coding. This will significantly reduce the administrative burden on healthcare professionals, allowing them to focus on patient care.

Yaw Fellin, VP, Product and Solutions, Clinical Effectiveness at Wolters Kluwer Health
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.

Thank you so much to everyone who took the time out of their day to submit a prediction to us and thank you to all of you for taking the time to read this article! We could not do this without all of your support. What do you think will happen for AI and Automation in 2025? Let us know on social media. We’d love to hear from all of you!

Be sure to check out all of Healthcare IT Today’s AI and Automation content and our other 2025 Health IT Predictions.

As we wrap up another year and get ready for 2025 to begin, it is once again time for everyone’s favorite annual tradition of Health IT Predictions! We reached out to our incredible Healthcare IT Today Community to get their insights on what will happen in the coming year and boy did they deliver. We in fact got so many responses to our prompt this year, that we have had to narrow them down to just the best and most interesting. Check out the community’s predictions down below and be sure to follow along as we share more 2025 Health IT Predictions!

Check out our community’s AI and Automation predictions!

Kim Perry, Chief Growth Officer at emtelligent
As we move into 2025, the sheer volume and complexity of healthcare data will surge beyond what any human team can realistically process. Medically aligned AI and AI-driven automation won’t just be tools, they’ll be the backbone of efficient, quality-driven care, transforming data into actionable insights that impact patient outcomes in real time. From flagging urgent findings to ensuring timely follow-ups, these technologies will bridge critical gaps, making precision care scalable and truly patient-centered.

Sameer Bhat, Co-Founder and VP of Sales at eClinicalWorks
In 2024, AI became accepted across the healthcare industry. Adopting AI is no longer a choice – it is critical for healthcare providers to thrive and remain competitive. The healthcare industry faces a supply-and-demand challenge, and AI-powered contact centers will be game-changers. Front offices are incredibly busy answering medical questions, managing appointments, and facilitating prescription refills. AI-powered agents will help practices that struggle to manage the high volume of inbound and outbound calls. We strongly believe that in 2025, AI-powered agents will become mainstream in practice operations, helping manage 50-60% of front-office administrative tasks.

In 2024, we saw an increase in the use of AI medical scribes. Providers are saving more than two hours daily on clinical documentation, improving efficiency and the quality of notes. We predict that more than 60% of visits—even those conducted in a multilingual setting—will be powered by medical AI scribes from traditional SOAP notes and multimodal notes. AI medical scribes have transformed patient visits by silently working in the background, turning patient-provider conversations into draft clinical documentation, and drastically helping alleviate burnout.

RCM will be managed by AI-powered agents every step of the way, including generating appeals letters, submitting appeals to payers, and converting paper EOBs to ERAs. These are rule-based, repetitive tasks. In 2025, we predict that using AI-powered agents will reduce the cost of Revenue Cycle Management (RCM) by 70%, helping streamline the end-to-end billing process.

Administrative costs have skyrocketed over the years. AI-powered solutions will reduce the overall cost of care and enhance practice efficiency

Karie Ryan, Chief Nursing Officer, DNP, MS, RN, CENP at Artisight
The future of nursing workflow optimization lies in ambient intelligence that anticipates needs rather than creating additional documentation burdens. As healthcare technology evolves, we’ll see a fundamental shift toward systems that silently augment clinical work rather than demanding constant interaction. This evolution will finally begin addressing the core issues driving nurse burnout.

Emily Bonham, Senior Vice President of Product Management at AGS Health
AI and Automation in healthcare will continue to rise and refine, particularly in revenue cycle management and other administrative areas. We will also continue to see a reduction in administrative burdens for clinical staff with the deployment and refinement of ambient technology at the point of care. I believe we’ll reach a point where physicians begin to see technology as more helpful rather than intrusive or cumbersome, which has been a struggle and balance in their interaction with EHRs over the past 10 years. I believe the industry needs to leave room for technology disruptors as the EHR industry consolidates into a small handful of companies. We need to not lose sight of all the opportunities to save time, reduce costs, and improve patient care.

Daniel Blumenthal, Vice President of Strategy at MDClone
By automating routine tasks and delivering context-specific information, generative AI holds the potential to alleviate many of the healthcare industry’s most vexing, longstanding problems, such as clinician burnout, patient engagement, and access to care. However, to succeed with AI, front-line workers will need to build more trust in AI. Doing so will require organizations to invest in data systems and techniques to produce reliable and privacy-protected data that can be used to train, validate, and deliver reliable outputs from AI models.

Sandra Johnson, Senior Vice President, Client Services at CliniComp
In 2025, AI and automation will be integral to EHR systems, beginning with platforms designed to seamlessly integrate these innovations while ensuring data accuracy, security, patient privacy, and interoperability. Machine learning and AI, embedded within EHRs, will significantly enhance workflow efficiency, reducing cognitive load and improving the user experience. By prioritizing continuous innovation and incorporating user feedback, EHR systems will evolve to meet the dynamic needs of modern healthcare, ultimately boosting clinician satisfaction and improving patient outcomes.

Don Woodlock, Head of Global Healthcare Solutions at InterSystems
The use of AI will reimagine every aspect of our healthcare systems, and I believe we’ll start to see this manifest itself in some truly meaningful ways in 2025. There are already several use cases that leverage AI for things like ambient listening and patient portal messaging, but several more are poised to break onto the scene next year. I’m particularly enthusiastic about the already positive impact of ambient listening in the market – physicians are raving about how much time it saves them and allows them to focus completely on the patient and not the computer.

Chris Riopelle, Co-Founder and CEO at Strive Health
2025 is poised to be a transformative year for AI in healthcare, with groundbreaking advancements reshaping clinical, operational, and financial workflows. New technologies will not only drive more informed decision-making but also enhance “consumer-style” patient engagement, enabling greater efficiency across the board. AI-enabled digital health solutions will also expand their footprint in areas like early and accurate diagnosis, personalized treatment protocols through wearable technology, remote monitoring, chatbots, interactive apps, and more.

These innovations will redefine patient care while simultaneously alleviating administrative burdens. AI and machine learning will elevate healthcare delivery by improving diagnostics and enabling early detection through predictive modeling. On the operational side, these tools will streamline workflows, reduce human error, and cut overhead costs unlocking significant value for care providers. As healthcare leaders, embracing these advancements isn’t just about adapting to change, it’s about leading the charge toward a more efficient and patient-centered future.

Frederico Braga, Head of Digital and IT at Debiopharm
AI has the potential to drive greater adoption and impact, particularly in sectors like healthcare, if we address two key areas: user adaptation and strategic innovation. Rather than focusing on the misconception that AI will replace humans, we should emphasize its role in enhancing human capabilities and optimizing productivity. This requires organizations to define clear, practical use cases for AI, integrate it seamlessly into existing workflows, and actively manage change to shift user perceptions. By fostering collaboration between humans and AI, we can unlock its full potential to streamline processes and achieve better outcomes, especially in critical areas like healthcare.

Brian Covino, Chief Medical Officer at Cohere Health
AI is transitioning from a conceptual tool to a practical asset in healthcare. In 2025, AI is expected to play a pivotal role in refining the prior authorization process, particularly for providers. Machine learning algorithms are already automating data intake and streamlining workflows, helping providers spend less time on administrative tasks. AI/ML-driven prior authorization decision-making will continue to advance, identifying appropriate care paths, flagging incomplete submissions, and guiding care choices based on evidence-based medicine, ultimately resulting in faster approvals and fewer denials. Overall, the use of AI to reduce the administrative burden on providers, cut review time and costs for payers, and enable faster access to appropriate care will continue to expand.

Caleb Manscill, President at Vyne Medical
As the healthcare industry faces limited resources and rising demands, the adoption of AI-driven technologies is poised to accelerate in 2025, transforming care delivery and management. With the workflow automation market projected to grow from $7.1 billion in 2024 to $10.9 billion by 2029, data-driven tools are enhancing efficiency across the board. AI empowers healthcare teams with actionable insights, streamlining decision-making, improving clinical workflows, reducing data transcription times by over 90%, and optimizing staffing and resource management. By integrating AI into clinical processes, providers can achieve greater efficiency, cost savings, and improved patient outcomes while focusing on delivering high-quality care.

Kevin Paroda, Director of Global Hardware, Product Management at CenTrak
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. While AI transcript doesn’t directly address safety in the context of the workforce, the broader use of AI and automation may contribute to improving the safety of healthcare workers by streamlining tasks and reducing human error in complex processes.

Kevin Erdal, Senior Vice President of Transformation and Innovation Services at Nordic
AI has yet to revolutionize healthcare in the ways predicted early in the hype cycle, but advancements in 2025 could be the year AI starts to gain traction in clinical decision-making, improving patient outcomes and reducing clinician burnout. Ambient voice technology and predictive analytics are making the promise of AI a reality with real-time, evidence-based insights at the point of care, enabling proactive interventions and personalized treatment.

However, strong partnerships between healthcare organizations, technology providers, and policymakers will be key to scalable and sustainable innovation and adoption, paving the way for more seamless integration of AI into clinical workflows. Success hinges on balancing technology with empathy, using AI to complement, not replace, the human connection in care. By augmenting clinicians’ capabilities, AI and automation will make healthcare more proactive, precise, and patient-centered.

Gregg Sherman, Principal, Quality and Compliance Solutions at IQVIA
Integrating AI in manufacturing/production is revolutionizing quality control and operational efficiency. AI’s real-time monitoring of critical parameters enables immediate quality decisions and equipment adjustments that enhance production efficiency, drive rapid trend identification and root cause analysis, help minimize downtime when deviations occur, and support effective corrective actions. In predictive maintenance, AI monitors equipment performance and identifies potential component failures before they happen, allowing for proactive maintenance planning. Automating schedule management and maintenance work orders frees staff to focus on core production tasks rather than administrative duties. Environmental monitoring, particularly in sterile rooms, represents another crucial AI application. The technology enables real-time monitoring of environmental conditions and gowning practices, helping prevent sterility issues before they develop.

Hari Prasad, CEO at Yosi Health
AI-powered virtual assistants will become increasingly sophisticated, handling routine tasks like appointment scheduling, medication reminders, and answering patient questions. This will improve patient engagement and satisfaction while freeing up healthcare professionals to focus on patient care.

Enhanced Patient Experience: AI-powered chatbots and virtual assistants can provide 24/7 support, answering patient questions and addressing concerns promptly. This will improve the overall patient experience and satisfaction.

Automation of Administrative Tasks: AI will automate routine administrative tasks such as pre-authorizations, appointment booking, insurance verification, and medical record coding. This will significantly reduce the administrative burden on healthcare professionals, allowing them to focus on patient care.

Yaw Fellin, VP, Product and Solutions, Clinical Effectiveness at Wolters Kluwer Health
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.

Thank you so much to everyone who took the time out of their day to submit a prediction to us and thank you to all of you for taking the time to read this article! We could not do this without all of your support. What do you think will happen for AI and Automation in 2025? Let us know on social media. We’d love to hear from all of you!

Be sure to check out all of Healthcare IT Today’s AI and Automation content and our other 2025 Health IT Predictions.