Where AI is actually making a difference in healthcare

Rising operational costs, workforce shortages and a volatile supply chain market have healthcare companies scaling the use of artificial intelligence as a strategic priority. In fact, a recent report found healthcare companies are setting the pace for enterprise AI adoption — deploying the technology at more than twice the rate (2.2x) of the broader economy. Beyond the healthcare sector, only one in ten companies (9%) are currently using AI outside of ChatGPT.

This push towards AI in healthcare was escalated in July 2025 when new tariffs on critical medical supplies added $2,000–$8,000 per device in manufacturing costs, further transitioning AI from a value-add to a critical infrastructure tool for healthcare companies to protect operational margins. Yet, while the reasons healthcare companies are being forced to adapt to these advancements are less than ideal, many specialists are finding confidence in AI’s effectiveness in improving workloads and overall patient outcomes.

In practice, that impact is already taking shape in operational workflows. Healthcare organizations are using AI to triage inbound clinical documentation, automatically route prescriptions and billing correspondence, and summarize patient interactions in real time. These applications are reducing manual work while accelerating how quickly patients move through the system.

A recent Statista report shared that 87% of healthcare specialists surveyed were confident in using AI for documenting medical notes, and 86% were confident about using AI in processing test results or scans.

Closing the healthcare worker gap

The healthcare industry is facing a significant staff shortage that is projected to worsen in the near future. An expected 1.6 million new healthcare jobs are going to be needed by 2033 to meet the future demand of our population. This shortage is fueling adoption of AI tools that automate administrative tasks, such as scheduling doctor appointments or prescribing medications through AI-powered transcription and call summary tools.

Beyond scheduling and documentation, AI is increasingly being applied to high-volume operational workflows. Technologies like optical character recognition and large language models are being used to sort and classify inbound documents, interpret faxed prescriptions and clinical notes, and route them to the appropriate teams without manual intervention. Similarly, AI-powered tools can automatically categorize and assign billing correspondence, reducing delays and minimizing administrative backlogs.

Allowing AI to handle these tasks is not only opening the door for clinical workers to keep the focus on patient care, but also limiting the risk of employee burnout and working after hours. By turning to AI, healthcare organizations are alleviating strain on workers by increasing workflow efficiency, reducing administrative burdens and ensuring a more flexible work environment.

By offloading these time-intensive tasks, healthcare organizations are not only improving efficiency but also giving clinical and support staff more time to focus on patient care.

Improving patient outcomes by elevating standard of care

AI has unlocked an entirely new care capability by enabling healthcare organizations to analyze clinical data that reveals previously inaccessible insights. Now, a physician is able to access and understand a patient’s entire medical history by the push of a button, or can compare what tactics achieved greater health outcomes for that patient accessing a patient’s entire health journey of appointments and procedures.

In some cases, AI is also being used to predictively identify patients who may need earlier intervention. For example, AI models can analyze therapy adherence patterns and flag individuals who are at risk of falling out of compliance, enabling care teams to step in sooner and improve long-term outcomes.

This new access to data is revolutionizing how the industry is providing care. AI is not only giving clinicians the ability to see how their care plans are impacting patients, but also gives healthcare organizations the ability to assess how programs perform across different populations, payers and clinical pathways.

AI is also supporting care teams directly by providing instant access to internal knowledge, including payer requirements, clinical guidelines and product information. This ensures that decisions are informed, consistent and aligned with best practices across the organization.

Ultimately, this level of data access is resulting in an industry-wide ability to personalize plans and modify programs in a timeline that meets a patient's needs – greatly improving the overall standard of care.

Removing the insurance headache

Navigating insurance has been a decades-long struggle, and a recent survey found nearly half of all insured Americans are delaying health care due to network confusion or costs. AI tools are being proven to create a more user-friendly experience and remove friction for patients trying to navigate through complex insurance plans. For companies helping patients navigate healthcare insurance, AI is adding an extra layer of support by providing quick access to coverage details, so administrators can focus on listening and explaining clearly.

At the same time, AI is being used behind the scenes to reduce the root causes of insurance friction. Tools can automatically check documentation for completeness before submission, flagging missing information that would otherwise lead to denials. AI systems can also classify and route payer communications, such as explanations of benefits and denial notices, to the appropriate teams, helping accelerate resolution and reduce confusion for patients.

Increasingly, AI is not just helping organizations respond more efficiently. It is enabling them to anticipate and prevent issues before they impact the patient experience, from avoiding supply disruptions to reducing delays caused by documentation errors.

It’s clear AI adoption is transforming how the healthcare industry provides care. As the industry continues to find new ways to integrate AI into everyday systems, organizations must keep a patient-centric mindset and utilize new technologies to expand patient access and health outcomes as a result. While AI can, and should, help reshape the patient journey and support healthcare staff, it should never replace human oversight in a patient’s care, and real people must always hold ultimate responsibility.

Casey Hite is the CEO of Aeroflow Health