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AI in healthcare: How artificial intelligence transforms care

Published: April 24, 2025 by Experian Health

Early diagnostics, remote patient monitoring and personalized care recommendations are just a few examples of how artificial intelligence (AI) is transforming the way healthcare is delivered. As technology advances, so do opportunities to optimize clinical and operational processes. With projected savings in the region of up to $360 billion annually, it’s no surprise that 75% of healthcare executives believe AI has reached a turning point in their industry.

Yet many providers are still just scratching the surface. Only a small percentage use AI for complex tasks like claim denial management, leaving the competitive advantage wide open. Understanding how these technologies work – and where to apply them for maximum impact – will be crucial to improve efficiency, remain competitive and above all, deliver excellent patient care.

The power of AI in healthcare

As the name suggests, artificial intelligence refers to a machine’s ability to perform cognitive tasks that would normally be associated with humans, such as problem-solving and decision-making. It can spot patterns, learn from experience and choose the right course of action to achieve a goal. Natural language processing, robotics and machine learning might all be in the mix. AI in the healthcare industry has been found to support applications like:

Artificial intelligence in healthcare isn’t a substitute for human contact, which underpins the best patient care. However, by increasing accuracy and reducing costs, it can help clinicians and healthcare administrators make better decisions that support a positive patient experience across virtually all healthcare settings.

AI & automation in healthcare: key benefits

AI and automation deliver results in the three areas that matter most to healthcare organizations: improving the patient experience and care delivery, allowing staff to perform at their highest level, and increasing revenue.

Boosting patient satisfaction through speed and accuracy

Patient feedback has a few common themes: timely access to care, clearer communication and greater financial transparency. To meet these needs (and improve those feedback scores), healthcare providers should offer patients accurate, upfront information and reduce friction wherever possible.

Tools like Patient Access Curator use AI to verify and update all necessary patient information at the front end, all at once, which drastically reduces the time and effort required to manage patient records. This streamlines patient intake and solves for bad data, which prevents claim denials and increases patient satisfaction.

Bringing in more revenue by reducing claims errors

The 2024 CAQH index estimates that 22% of current costs could be saved by shifting from manual revenue cycle processes to automated ones. Experian Health’s State of Claims Survey 2024 suggests providers are eager to capitalize on this opportunity, with 51% seeking to reduce manual work.

AI-driven solutions like Patient Access Curator and AI Advantage are designed specifically to meet these needs. Patient Access Curator automates insurance eligibility and coverage, scanning patient documentation for inaccurate information, and uses AI and robotic process automation to reduce manual errors. AI Advantage™ works to prevent denials before they happen, using predictive analytics to flag claims errors and alert staff to claims that fail to meet payer requirements.

Improving staff performance by easing burnout

The strain of manual processes doesn’t just slow down operations. It’s also a major cause of staff stress and burnout. Around half of healthcare staff report feeling burned out, costing the industry an estimated $4.6 billion each year.

By taking repetitive tasks off busy employees’ plates, AI can alleviate overwork and allow staff to focus on higher-value work, improving job satisfaction and productivity. In claims management, for example, AI Advantage, works in conjunction with ClaimSource®, to proactively identify claims with a high likelihood of denial prior to claim submission without staff intervention. This reduces the burden on staff while improving clean claim rates.

How AI Advantage and Patient Access Curator improve patient care

Experian Health’s two flagship AI-based products go even further, offering new ways to use technology to improve patient care:

Patient Access Curator uses AI and robotic process automation to streamline one of the most tedious parts of patient intake – verifying insurance eligibility and coverage. By automatically scanning patient records for errors and pulling up-to-date information from payer sources, it eliminates the guesswork and manual labor that bog down revenue cycle teams. The result is faster, more accurate eligibility verification and a smoother experience for both staff and patients.

As Ken Kubisty, VP of Revenue Cycle at Exact Sciences, put it: “Within the first six months of implementing the Patient Access Curator, we added almost 15% in revenue per test because we were now getting eligibility correct and being able to do it very rapidly.” 

On the back end, AI Advantage – Predictive Denials acts as an early warning system for denials, scanning claims before they go out the door to catch errors and flag risky submissions so they can be corrected in time. Built on advanced AI and machine learning, the platform evaluates claims using historical payment data and real-time payer behavior. Its counterpart, AI Advantage – Denial Triage, picks up where Predictive Denials leaves off, sorting rejected claims according to their potential for reimbursement and prioritizing them based on financial impact. Together, they help providers minimize denials, resulting in faster reimbursement and freeing up resources that can be redirected to patient care.

Case study: See how AI Advantage helped Schneck Medical Center achieve a 4.6% average monthly decrease in denials in the first six months.

The future of AI in healthcare: what’s next?

As a quick glance at any newsfeed will confirm, AI’s role in healthcare is only going to expand. Predictive analytics will give staff increasingly powerful insights and recommendations to maximize reimbursements, while minimizing the burden on the workforce. AI’s ability to continually learn and improve means providers that embrace AI will be better placed to make full use of their data and adapt to the trends and challenges that affect patient care. As expectations grow and resources shrink, AI is likely to be the only way to deliver the scalable, responsive, high-quality care patients deserve.

Discover how solutions like AI Advantage and Patient Access Curator use artificial intelligence in healthcare to help reduce claim denials, improve patient access and more.

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Manual prior authorization workflows represent one of the most tedious and expensive aspects of the healthcare revenue cycle. However, despite access to automated prior authorization software, only 31% of providers use electronic prior authorizations, according to the Council for Affordable Quality Healthcare (CAQH). The CAQH predicts that providers who switch to automated prior authorization software could not only gain back valuable staff time, but also see significant cost savings. What is prior authorization and why is it important? In healthcare, prior authorizations are when providers and payers decide in advance if a patient's insurance plan will pay for a specific treatment. Prior authorizations are crucial to reimbursements and keeping revenue cycles on track. Providers that offer services without prior authorization are unlikely to receive reimbursement from the patient's insurer. This can result in unpaid medical bills, leaving billing teams chasing patient collections or writing off bad debt. During the prior authorization process, providers submit a rationale for a proposed treatment to the payer. The request is approved or denied based on certain criteria, including payer policies and medical necessity. The payer may reject a prior authorization request if the treatment or service isn't covered under the patient's insurance plan, if it's not considered medically necessary or if a more affordable alternative is available. Simple paperwork errors, like missed deadlines or incomplete documentation when submitting a prior authorization, may also result in a denial. Challenges of manual prior authorization processes Despite the importance of prior authorizations in the revenue cycle, tedious manual prior authorization processes present challenges for many healthcare providers. Some of the key obstacles providers face using manual prior authorization include: Heavy administrative burden Healthcare providers spend a significant amount of time starting, completing and revising prior authorization paperwork. An AMA survey found that 86% of physicians say prior authorization has increased healthcare resource usage. At the same time, additional AMA data reports that providers spend around 13 hours working on 39 prior authorizations each week, and nearly one-third of providers report that these prior authorization requests usually end up being denied. Changing payer policies Keeping up with multiple payers and ever-evolving payer policies adds strain on staff and ultimately results in prior authorization denials. Changes are often unannounced, making it hard for providers to stay on top of updates. As a result, prior authorization submissions aren’t always accurate and may be based on outdated rules. This can lead to instant rejection and wasted time correcting and resubmitting requests. Inefficient workflows Prior authorization requirements can be complicated, especially when providers are juggling different payers, standards and service lines. Coping with these complexities often puts strain on manual systems, especially when multiple staff and notetaking methods are involved. Staff members may each get different pieces of information from payer websites (or over the phone) and not have the ability to benefit from their shared knowledge efficiently. Navigating communication hurdles and rapid payer information changes can result in workflow inefficiencies that snowball quickly. How prior authorization software can improve efficiency Replacing manual prior authorizations processes with automated prior authorization software can help providers improve efficiency. Here are some key ways providers benefit from automated prior authorization solutions, like Experian Health's Authorizations. Reduces manual interventions: This solution limits guesswork, human errors, and misinterpretations by automating data originating from the EMRs. Automation saves staff time and energy and prevents frustration. Stays current with latest payer policies: The prior authorization system stays up-to-date with the latest regulations and payer requirements. Automatic updates provide staff with the most current information, eliminating the need for staff to visit multiple payer websites or cross-check data by hand. Provides real-time updates: Providers can promptly clear authorizations for service by proactively identifying authorization status as pending, denied or authorized. This allows physicians to make timely treatment plans and for patients to avoid disruptions in care. Reduces risk of denials: Through automation, electronic prior authorization software ensures the accuracy and completeness of submissions by automatically checking with payers and vendors to validate that the authorization is on file. Payers and providers also get a shared view of account information, reducing the need for prolonged discussions about the status of authorization and rework requests. Key features to look for in prior authorization software When implementing prior authorization software, look for a solution that offers a wide range of features to automate and streamline the prior authorization process. Experian Health's prior authorization solution, Authorizations, for instance, offers healthcare providers the following key features: Real-time knowledgebase: Access to up-to-date prior authorization requirements and criteria in the National Payer Rulesets Submissions support: Removes guesswork and directs users to the correct payer portal based on procedure Automated inquiries: Automates the prior authorization payer inquiry process Enhanced workflow: Dynamic work queues display status and guides users through next steps Postback: Allows users to easily send authorization status, number and validity dates to health information systems (HIS) and practice management systems (PMS) Image storage: Receives and securely stores payer responses in an integrated document imaging system Reconciliation: Provides insights into authorization variations and helps resolve them, so staff can take proactive steps to prevent denials and appeals Integration with electronic health records and billing systems: Why it matters Providers often choose a prior authorizations platform that seamlessly integrates with existing Electronic Health Records (EHR) and billing systems for maximum efficiency. Solutions like Experian Health's automated prior authorization management tool, Authorizations, easily adapt to existing processes. This eliminates the need for a complete workflow overhaul and minimizes the learning curve for staff. Embracing prior authorization software for a more efficient revenue cycle Revenue cycle leaders who implement prior authorization automation strategies could see significant savings – $494 million annually as an industry, according to CAQH data.  Claims and revenue management processes are often complex and outdated, costing healthcare organizations time and money. High denial rates and slow reimbursements can hurt cash flow and get in the way of financial stability. Automating prior authorization can reduce claim denials, speed up reimbursements and improve the bottom line. Learn more about how Experian Health's electronic prior authorization software, Authorizations, uses automation to achieve greater consistency and efficiency for healthcare organizations. Learn more Contact us

Published: July 30, 2025 by Experian Health

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