Medical Coders Voice Concerns Over Upcoding and Fraud Risks in Healthcare

A recent Black Book Research survey released ahead of the AHIMA Conference highlights healthcare fraud as a major concern for medical coders and health information management professionals, with 90% identifying upcoding as a significant ethical issue in medical coding and billing. Upcoding, which involves assigning higher-level codes than necessary to increase reimbursement, is a form of healthcare fraud that could expose organizations to Medicare or Medicaid penalties and contribute to rising healthcare costs. 

According to the survey, coding staff are sometimes directed by managers to engage in upcoding, placing them in the position of unintentional accomplices. Eighteen percent of respondents reported being pressured by employers to engage in fraudulent coding practices. Nearly all respondents (99%) expect a rise in whistleblower cases related to upcoding. 

A small percentage (7%) of respondents also noted concerns over the manipulation of risk scores to enhance value-based reimbursements. This practice involves inflating the health risk of a population to obtain higher payments. Almost half (48%) of participants expressed concerns about the potential for coding process integrity to be compromised by such manipulations. 

Coding complexity and errors

Although fraud is a concern, 85% of respondents attributed many coding errors to the complexity of current systems. These complexities often contribute to discrepancies seen in coding audits, raising concerns about the fairness of such reviews. 

Respondents were also divided on bundling and unbundling payments. While 55% indicated bundled payments might oversimplify the range of services offered, they acknowledged that unbundling (coding each component of a procedure separately) could lead to billing fraud. 

Challenges in value-based care coding   

As value-based care models gain traction, more than half (64%) of medical coding professionals are concerned about adapting coding practices to these models. Another 29% anticipate difficulties in aligning existing systems with the documentation standards required for value-based care. 

Concerns about coding for social determinants of health (SDOH)   

While SDOH coding aims to help patients receive necessary services and ensure providers are reimbursed for addressing social needs, 69% of coding staff worry it could reinforce implicit biases or influence coverage decisions. 

ICD-11 transition: déjà vu for coding staff 

The survey also found that 80% of respondents are concerned about the U.S. transition to the ICD-11 coding system, expected between 2025 and 2027. Although the previous ICD-10 transition went smoother than expected, most respondents feel that more training and preparation are needed for ICD-11. Despite these concerns, only 11% of organizations have begun preparing. 

Apprehensions about AI in coding

Lastly, the survey revealed concerns about AI’s role in automating billing and coding. While AI is already automating some tasks, 94% of respondents doubt AI’s ability to capture coding’s nuances, and 97% worry about diminishing human oversight. Around 75% also fear AI could introduce or amplify biases in coding and billing practices.