Revenue cycle management and AI: what providers should know

48 Views
Revenue cycle management and AI: what providers should know

Once hesitant, the healthcare industry is slowly embracing artificial intelligence (AI)’s potential. Healthcare stakeholders, particularly those in revenue cycle management, are now interested in exploring AI-driven technology solutions to tackle daunting administrative tasks. According to data highlighted by the Journal of AHIMA, two-thirds of health systems are adopting AI to support revenue cycle processes.

AI offers solutions that address the complexities of medical billing, insurance claims, and patient payments and enhance hospitals’ financial health. The potential savings from AI adoption in healthcare spending could range from $200 to $360 billion annually, making it a compelling option for revenue cycle leaders looking to save more in far less time and with fewer resources.

AI-powered tools show strong promise to reshape how revenue cycle leaders manage the most pressing issues in revenue cycle management, offering an efficient and seamless solution to complex revenue cycle tasks, including automated data entry and real-time insurance verification. Read on to discover more about the role of AI in revenue cycle management and how best to take advantage of robust AI solutions to streamline claims processing.

How is AI used in revenue cycle management?

The state of the average healthcare revenue cycle today reveals a pressing need for improvement. According to Experian Health’s State of Claims 2022 report, reimbursement cycles are getting longer and claim errors and denials are rising.

Here are everyday revenue cycle management challenges that AI-powered solutions can efficiently solve.

AI can help manage complex billing procedures

Accurate medical billing is the first step towards guaranteeing claims approval, yet data indicates that revenue cycle managers are falling short in this critical area. Errors in medical billing cost the U.S. healthcare system approximately $935 million weekly, highlighting the urgent need for improvement in the medical billing processes.

Navigating the intricate landscape of insurance plans, billing codes, and patient payments can be overwhelming. Each insurance plan has unique nuances and requirements, adding to the complexity. Moreover, the success of a billing process relies on accuracy, which may be near impossible with manual handling.

Adopting AI into every aspect of the billing cycle can streamline and improve the billing process while ensuring accuracy at every stage. AI-powered billing solutions like Patient Access Curator effectively manage critical aspects of the process, including verifying a patient’s coverage and eligibility and fixing billing errors.

Accurate billing significantly reduces the potential for rejected claims, creating opportunities for more efficient healthcare operations and saving money.

AI in RCM can help prevent claim denials

According to The State of Claims 2022 report, 200 health professionals surveyed stated that 5% to 15% of claims are denied. These denials result in hospitals losing billions of dollars, approximately $260 billion per year, forcing them to write off massive amounts of debt, as noted in the Journal of Managed Care & Specialty Pharmacy.

Insurance claims denials often result from inadequate data and analytics to identify submission issues, manual claims processing, and insufficient staff training. These denials affect the hospital’s revenue and create additional administrative work to rectify the errors. The downstream effect is that patients may receive bills in error and end up paying the out-of-pocket bills if resolution does not occur.

AI can make a huge difference, turning the bleak trend of increasing claim denials into a more positive experience for hospitals and patients. Encouragingly, The State of Claims 2022 report reveals that over half of healthcare providers use AI-powered healthcare claims management software to prevent claim denials.

Among these AI-powered software solutions, Experian Health’s AI Advantage, when used in conjunction withClaimSource®, an automated claims management system, stands out as a valuable solution for bolstering denial prevention efforts, improving claims management, and increasing revenue savings.

Reduce patient payment delays

With the rise in high deductible health plans, patients are putting off or not making payments, affecting the hospital’s cash flow. According to medical billing analysts, people with health insurance, who previously accounted for only a fraction of hospital debtors, now constitute the majority of debtors in American hospitals. Hence, patient payment delays are now serious roadblocks to seamless revenue cycle management.

On the provider end, there’s also the challenge of swiftly verifying a patient’s coverage and estimating their medical bill without any margin for error. Billing mistakes, surprise expenses, and complex payment processes can make it challenging for patients to manage their finances and make payments as early as possible. On the other hand, early and accurate estimation of patients’ financial responsibility can help patients understand and appropriately plan for medical bills in advance.

However, achieving the latter experience for patients involves sifting through constantly growing data, compounding the strain on limited hospital resources. That’s where AI-powered revenue cycle management solutions can help. With solutions like Patient Access Curator, healthcare providers can quickly and accurately gather and verify necessary information about a patient’s insurance, enabling them to promptly provide patients with a clear picture of what’s left for them to pay.

How can AI help with claims management?

AI-powered software offers tailored solutions to simplify and optimize claims management processes and, in turn, improve revenue cycle management. Here are two critical ways AI can help with claims management.

Real-time insurance eligibility verification

Accurate eligibility verification is a fundamental part of the claims process. It is crucial for an accurate and faster billing process, increasing claims approval rates, and improving revenue cycle management. Conversely, incorrect verification leads to denied claims, contributing to care delays, wasteful healthcare spending, and a poor patient payment experience.

By using Experian Health’s Al-powered Patient Access Curator solution, healthcare providers can instantly verify and update patient insurance information, ensuring accurate billing and reducing the potential for claims denial. This real-time verification eliminates any need for guesswork and ensures that billing is done based on the most current insurance information.

Patient Access Curator is a valuable tool for hospitals looking to save time, money, and staff resources that would have been spent on a lengthy and denial-prone claims process. With just one click and in 30 seconds, it prevents claims denial problems on the front-end. Since 2020, it has been a game changer for the financial health of clients using the platform, helping them save over $1 billion in denied claims.

Predictive claims analysis

AI can predict potential claim denials or payment delays, empowering hospitals to take proactive measures. By analyzing historical data and patterns, AI can flag potential issues before they become costly problems. AI Advantage, another AI-powered solution, aims to help healthcare providers prevent and manage claim denials.

This solution has two components:
AI Advantage – Predictive Denials: reduce claims denials by spotting errors and identifying claims that don’t meet ever-changing payer rules, allowing corrections to be made.
AI Advantage – Denial Triage: works after a claim has been denied to identify and group denials most likely to be approved after resubmission, allowing organizations to prioritize resubmissions most likely to benefit their finances.

As revenue cycle leaders strive to navigate the ever-evolving landscape of healthcare, it is crucial to embrace AI to stay ahead of the game. With Experian Health’s expertise and resources, healthcare providers can fully take advantage of robust AI solutions to streamline their revenue cycle processes and achieve financial success.

Find out more about how Experian Health helps healthcare providers leverage AI to solve the most pressing issues in revenue cycle management.

Disclaimer: This story is auto-aggregated by a computer program and has not been created or edited by lifecarefinanceguide.
Publisher: Source link


Leave a comment