We talk a lot about the potential and possibilities of artificial intelligence – but what is the reality? How are we currently using AI in healthcare? Today, we set out to answer that question with the help of our incredible Healthcare IT Today Community. We asked them — how is artificial intelligence currently being applied within provider organizations to support clinical decision-making, operational efficiency, or patient engagement? Below are their answers.
Ross Armstrong, Chief Commercial Officer at Bamboo Health
Artificial intelligence is transforming healthcare by turning insight into action. For years, provider organizations have invested heavily in analytics and technology to surface relevant information for care teams. The challenge has never been access to insight; it has been the bandwidth, staffing, and operational capacity required to act on it.
AI changes that equation. It enables technology and analytics companies to move beyond simply delivering data and toward supporting execution. This shift is prompting new conversations between healthcare organizations and technology partners about where the line of responsibility should sit and how work can be reallocated intelligently.
Incorporating agentic AI allows care teams to offload repetitive, administrative, and coordination-intensive tasks with greater speed and accuracy. This frees clinicians to focus on complex clinical decision making and direct patient care, where their expertise has the greatest impact.
When deployed thoughtfully, AI becomes a force multiplier. It allows organizations to expand capacity, improve consistency, and drive performance without increasing headcount or adding burden. Over the next five years, AI will not replace care teams. But care teams that effectively leverage AI will outperform those that do not.
Andrew Cooper, Chief Digital and Access Officer at Naples Comprehensive Health (NCH)
In the evolving healthcare landscape, AI is building upon a long-standing foundation of clinical excellence to further enrich the patient experience and support clinical delivery.
AI-enabled digital guides offer additional support 24/7 as patients progress through their treatment journeys. By placing clinician-informed guidance directly into the hands of patients, these tools extend the traditional bond between provider and patient, reinforcing that connection through constant engagement and clarity throughout the care journey.
For providers, AI acts as a powerful aid. In-room ambient voice technology and smart EHR integrations assist with essential but time-consuming clerical tasks, allowing providers to focus on the heart of medicine: the personal connection with the patient. AI tools are assisting with billing, coding, insurance, and supporting care teams with responding to patient questions.
Furthermore, AI-summarization and predictive analytics provide a comprehensive view of a patient’s history and help identify early signs of risks, such as Sepsis or unplanned readmission, providing an extra layer of vigilance that supports providers’ clinical decision-making in treatment plans.
Stephen Vaccaro, President at HHAeXchange
Homecare is one of the most human-centric service industries, so early skepticism around artificial intelligence adoption was understandable. For a while, AI felt more like a buzzword than a solution as leaders worked to understand how the technology fit into existing infrastructure, but that phase is largely behind us. Homecare agencies are deploying AI tools on the ground right now, using practical applications to solve real-world problems and help caregivers stay focused on clients.
Agencies are using predictive modeling to flag compliance risks before they become problems, making it easier to prevent gaps in care and protect funding. Additionally, AI technology can spot patterns that could cause billing issues, such as missed clock-ins and GPS discrepancies. Just as importantly, AI supports the people delivering care. Smart scheduling tools that analyze caregiver skills, availability, and client preferences ensure that every authorized hour is used effectively.
AI’s usefulness in preventing revenue leakage and facilitating high-quality care makes it a complement to human engagement rather than a replacement. With nearly 70% of caregivers willing to spend extra time recording observations to improve outcomes, it’s clear that AI tools that help them gather data are turning that willingness into actionable health insights.
James Hamrick, MD, MPH, Chairman, Precision Oncology Alliance at Caris Life Sciences
In cancer care, clinicians are already using AI as a clinical assistant, helping with required documentation for patient visits as well as actual treatment planning. AI-powered tools can help doctors and patients understand their prognosis and the likelihood of benefitting from certain treatments based on biopsy images or molecular tumor profiles.
By helping to make sense of complex data, AI supports faster, more confident decisions. At a time when about 59% of oncologists report symptoms of burnout, tools that reduce administrative burden and streamline workflows are more than convenient; they’re essential to preserving clinician well-being and capacity to care. By taking on data-heavy work, AI gives clinicians more time to focus on patients, explaining diagnoses, discussing options, and delivering more personalized, human-centered care.
Andrew Ritter, CEO at Cairns Health
AI can be used in healthcare to help providers improve the patient experience by gathering real-time context around those in their care. Patients may struggle with sharing their background or deciphering what details are relevant and important (versus not). AI can fill the gap ambiently or with wearables/context-driven applications, creating a better, comprehensive story and history about the patient.
As an example, let’s say a patient doesn’t feel well. The patient might not report this themselves. AI could be used to detect when they get out of bed at night. When this information is shared with providers, they can assess that the patient’s sleep is being disrupted because they’re getting out of bed multiple times a night. From there, providers can determine whether they have a UTI. AI acts as an enabler of insights for providers to react earlier and proactively to improve the patient’s overall health.
Ariel Capone, CEO Healthcare & Private Equity AI Studio at Globant
AI is most effective when it reduces administrative and cognitive burden rather than replacing clinical judgement. Providers are now using AI to support clinical workflows through ambient documentation, predrafted notes, and inbox triage, shifting work from manual creation to verification. AI is scaling operationally in areas such as revenue cycle management, scheduling optimization, and capacity planning. This is particularly evident in U.S. systems under margin pressure. For patient engagement, AI tools support appointment preparation and navigation, improving access while easing staff workload.
Sean Cassidy, Co-Founder and CEO at Lucem Health
One of the most effective uses of AI in healthcare today isn’t about replacing clinical judgment; it’s about enabling earlier action. Provider organizations are using AI to surface patients who might otherwise remain invisible in the EHR, identifying risk earlier, before symptoms escalate and care becomes more invasive, costly, and complex. This is AI that integrates into existing clinical workflows and doesn’t change how clinicians practice medicine. It supports, rather than dictates, clinical decisions, which is essential to earning trust and becoming scalable.
Dr. Stephanie Lahr, Chief Medical Officer at uPerform
Provider organizations are using AI today to support clinical decision-making through tools like ambient documentation, EHR-embedded decision support, and direct-answer capabilities that surface guidance at the point of care. Operationally, AI is reducing manual work in areas such as chart abstraction, quality reporting, patient flow, and revenue cycle, while patient engagement is increasingly supported by virtual agents for triage, navigation, and follow-up. The organizations seeing real value are those pairing these tools with strong education and change management so clinicians understand how to trust and effectively use AI in daily workflows.
Oren Nissim, Co-Founder and CEO at Brook Health
The most effective AI in provider organizations is embedded directly into daily workflows. It analyzes physiologic data from connected devices to surface early risk signals, like worsening heart failure or uncontrolled hypertension, while prioritizing which patients need human outreach now, not later. At the same time, AI reduces operational burden by automating documentation and supporting billing compliance, allowing clinicians to focus on care, not screens.
Christopher Johnson, Co-CEO at TeleTracking
Today, artificial intelligence is being applied most effectively as an operational decision-support layer that moves hospitals beyond static dashboards and towards actionable decisions. AI is now embedded directly into workflows to support decisions around patient placement, discharge prioritization, task orchestration, and resource coordination, areas where manual processes and fragmented information have historically slowed care.
In essence, AI is processing what humans can’t. We have always had hindsight to learn from our past decisions, the insight to understand what we should do next, but AI is finally giving us the foresight to model downstream impacts so we can make better operational “chess moves” before bottlenecks occur.
Solutions like discharge prioritization models and digital twins allow operators to simulate scenarios and choose the highest-impact actions while keeping humans firmly in control. AI is also reducing the invisible burden on caregivers by dynamically coordinating tasks like transport, EVS, and documentation, allowing clinicians to focus on patient care. The result is improved patient access, shorter length of stay, reduced boarding times, and meaningful financial and clinical gains, all without adding beds or staff.
Dipak Patel, CEO at GLOBO Language Solutions
Provider organizations are increasingly using AI to close access gaps rather than replace clinical judgment—particularly in language services. AI-enabled interpretation is being deployed to handle routine, high-volume interactions, triage patient needs in real time, and surface contextual insights for clinicians, while seamlessly escalating to human experts for nuance, empathy, and clinical complexity. The result is faster access, lower friction, and more equitable care without compromising quality or compliance.
David Pessis, Chief Product and Technology Officer at PointClickCare
Across provider organizations, AI is gaining traction where it delivers clear, demonstrable value to clinicians and care teams. The most meaningful applications today are those that remove friction from clinical workflows and surface insights that would otherwise be buried in fragmented systems.
One of the highest‑impact use cases is the ability to rapidly synthesize longitudinal patient histories. Instead of navigating dozens of documents across multiple care settings, AI can extract and summarize the most relevant clinical context, including recent changes in condition, medication updates, social determinants, and risk indicators. This gives clinicians an immediate, unified picture of the patient so they can make more informed decisions at the point of care.
Operationally, AI is helping organizations better anticipate and coordinate care transitions. For example, models can flag patients at higher risk of delayed discharge by analyzing trends in clinical status, functional needs, and post‑acute placement availability. This allows teams to intervene earlier, reduce unnecessary days in acute care, and improve throughput.
What we’re seeing is that, when thoughtfully applied, AI isn’t replacing clinical judgment; it’s returning time, clarity, and confidence to clinicians and case managers so they can stay focused on delivering the best possible care.
Such great insights! Huge thank you to everyone who took the time out of their day to submit a quote to us! And thank you to all of you for taking the time out of your day to read this article! We could not do this without all of your support.
How do you think artificial intelligence is currently being applied within provider organizations to support clinical decision-making, operational efficiency, or patient engagement? Let us know over on social media, we’d love to hear from all of you!
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