Claim denials happen for different reasons. Some are caused by mistakes in handling claims, while others come from complex rules set by insurance companies. Since 2021, more healthcare providers have reported that claim denials are becoming a bigger problem. Below are the main reasons why claims get denied.
A report from Experian Health in 2024 says that 46% of people working in healthcare see missing or wrong data as a top reason for claim denials. This means mistakes in patient details, insurance information, codes for diagnosis or treatment, and authorization numbers. Simple errors when entering data can cause a claim to be rejected right away.
Errors often happen when patients are registered or when information is moved between different systems. For example, a patient’s insurance plan might be typed wrong or important authorization details are left out. Because claims need to be accurate from the start, wrong data is one of the biggest reasons for denials in many healthcare places.
Prior authorization means getting approval from the insurance before certain medical services are given. This is another major reason claims get denied. According to Experian Health, 36% of healthcare providers say prior authorizations cause denials. It requires working closely with patients, providers, and insurance companies and often needs proof that the treatment is necessary.
Doctors and their staff spend about 12 hours a week handling prior authorizations, based on a 2023 AMA survey, which can lead to burnout and delay in patient care. If the authorization is not obtained before the service, the claim may be denied. Dealing with many different insurance portals and changing rules makes this task harder.
Ambulatory surgical centers (ASCs) often have trouble because insurance won’t cover some services. BillingParadise shows that 38% of ASC denials happen because the patient’s insurance does not cover certain procedures. Also, 33% of denials come from requests for more medical records or information, usually as part of audits done before payment.
These denials delay payments and add to the amount of paperwork ASCs must do. They often must provide detailed documents or challenge the denials to get paid.
Errors in checking if patients are eligible or mistakes in patient information also cause many claim denials. BillingParadise says about 9% of denials in ASCs are due to wrong patient details or insurance problems. This happens when insurance coverage has ended, changed, or patient information is not correct.
If healthcare providers do not check a patient’s eligibility right before care is given, claims can be denied. This is hard in the U.S. because there are many different insurance types like private, Medicare, and Medicaid.
Wrong coding is a large reason for claim denials. This includes using old or wrong ICD-10 codes, coding in the wrong order, breaking codes that should be billed together, and wrong use of modifiers. Medwave reports many denials come from these coding mistakes and late submissions.
Insurance companies have strict deadlines for submitting claims, usually between 90 and 180 days after service. Claims sent after these deadlines are often rejected, and fixing them costs more than the claim is worth.
When claims get denied, healthcare providers face delayed payments and extra work. Handling denials and appeals takes a lot of time that could be used for patient care or improving operations.
Repeated denials can hurt the relationship between providers and insurance companies. Patients might get billed incorrectly, which can reduce their trust in healthcare providers. Managing revenue cycles becomes harder and may cause staff to feel stressed and tired.
Healthcare organizations use several steps to lower claim denial rates and get better payments. These include verifying eligibility early, proper coding, pre-authorization, and using technology to automate tasks along with training staff regularly.
Providers should make sure patient information is accurate and up to date. Using automated systems to help fill in data can reduce mistakes. Real-time insurance checks can confirm coverage before care is given, lowering chances of denials.
Training front-office staff on how to correctly collect and update data is very important since human mistakes are common in claims data.
Technology that automates prior authorization makes the process quicker and less complex. Some systems can instantly check payer rules, send requests, and track approvals. This reduces the time doctors and staff spend on this task.
Linking prior authorization software with electronic health records (EHRs) helps keep documentation consistent with what insurance requires.
Having teams focused on handling denials can improve how quickly claims are appealed or fixed. Clear workflows make sure denial notices are checked soon after they come in. They also help categorize the reasons and decide the best response.
Software for managing denials can track and report denial patterns. Knowing common denial reasons helps providers change practices to avoid future problems. The IMMP process (Identify, Manage, Monitor, and Prevent) is suggested for a good way to handle denials.
Staff should get ongoing training about the latest payer rules, coding updates, and billing methods. Regular reviews of claims help catch mistakes before sending, leading to more claims being accepted the first time.
Teaching staff about documentation requirements also helps include needed medical proof and reduces denials caused by missing information.
Artificial intelligence (AI) and automation tools help many healthcare providers reduce claim denials and improve their work processes.
AI can look at past claim data to predict which claims might be denied before sending them out. For example, Experian Health’s AI software helped Schneck Medical Center lower denial rates by 4.6% each month. Another group, Summit Medical Group Oregon, increased clean claim rates to 92% with AI assistance in coding.
These tools flag possible errors, missing authorizations, or insurance coverage issues before claims go to payers.
Manual data entry often leads to mistakes like typos or missing details. AI-powered systems can automatically fill in patient and insurance information and check coverage in real time, even before the patient visits.
Simbo AI focuses on automating phone calls and communications in the front office to gather and verify important information. Using these AI tools cuts down data errors during patient intake, lowering risks of denials linked to wrong data.
Automation software helps clear the entire denial process by sending alerts about denied claims, generating appeal letters, submitting appeals electronically, and tracking progress. Automating these routine tasks reduces work for staff and lets them focus on more difficult denials that need human attention.
These systems also connect with practice management and electronic health record software to make sure departments communicate well and claims are resubmitted accurately.
Providers can use AI-powered systems that instantly verify a patient’s insurance coverage and eligibility when services are given. This prevents denials caused by expired or missing coverage.
Tools from BillingParadise and Approved Admissions automate insurance checks and help reduce denials related to patient eligibility. This also helps healthcare providers better predict their finances.
Medical practice managers, owners, and IT staff in the U.S. need to know the main reasons claims get denied. They should use complete solutions that involve technology, training, and improved workflows. AI and automation today play a big role in cutting down mistakes and manual work. These tools provide useful data that help make better decisions in revenue management. Following these methods helps healthcare groups lose less money, reduce paperwork, and improve how they manage their finances in a system that is becoming more complicated.
The primary challenge is missing or inaccurate claims data, affecting 46% of providers. This complicates the process of submitting clean claims, which relies on speed and accuracy that are hard to achieve with manual systems.
Claim denials occur when providers fail to obtain prior authorization for services before they are administered. The process is complex and time-consuming, often requiring multiple payer portals and updates to policies, leading to potential denials.
Physicians and their staff spend about 12 hours per week completing prior authorizations, leading to increased burnout and inefficiency. This resource drain impacts their ability to submit clean claims.
Automation speeds up data entry and checks for accuracy, reducing the burden on staff. It allows staff to focus on complex claims issues rather than manual input, minimizing error rates and increasing clean claim rates.
AI offers predictive insights into potential denials by analyzing historical payment data. This helps organizations proactively address issues before submission or manage denials more effectively once they occur.
Technological solutions include automated tracking of payer policy changes, claims reviews, and specific tools like Claim Scrubber and ClaimSource for error-free claim submission.
Institutions can use automation to pre-fill patient data before arrival, which minimizes data input errors. Solutions like Claim Source help manage the entire claims cycle to maintain accuracy.
Organizations that adopted AI and automation reported a decrease in denial rates. For example, Schneck Medical Center saw a reduction of 4.6% in denials monthly after implementing AI Advantage.
Providers are upgrading claims processing technology, automating patient portal claims reviews, and focusing on reducing manual input to enhance efficiency and accuracy.
Claim denials can lead to billions of dollars in lost or delayed reimbursements for healthcare providers, highlighting the necessity for effective claim management to improve financial performance.