AI is quickly becoming a practical solution for healthcare providers aiming to fix billing problems and cut down on administrative overload. According to a recent survey, about a third of healthcare professionals have already used AI-powered billing tools, and over half anticipate doing so in the next two years.
Common billing challenges include denied insurance claims and slow processing times, with many healthcare workers spending over 20 hours a month correcting mistakes. This not only wastes time but also adds stress for both staff and patients.
AI tools help by automating coding checks, catching errors early, and speeding up the claim process. According to Kyle Ryan, a tech executive at Tebra, these systems lower the risk of denials and help payments go through faster.
Patients are also feeling the impact of billing problems. Around 45 percent of Americans got a surprise medical bill in the past year, and one in five ended up paying more than $1,000. Moreover, the survey reveals that most people (70%) delay getting care due to uncertainty over costs.
To address this, Ryan suggests adding billing estimate tools directly into clinical systems like electronic health records. This would let patients see expected costs before treatment, reducing unpleasant surprises and helping them make better choices.
However, adding AI to current billing platforms isn’t easy. Many clinics still use outdated or scattered systems that don’t share data well. On top of that, good data—the foundation for reliable AI—is often missing or inconsistent due to poor coding and incomplete records.
Still, the outlook remains positive. Many healthcare professionals believe AI will lead to fewer billing mistakes, quicker reimbursements, and less time spent on paperwork. This would free up staff to concentrate more on patient care.
Forty-three percent of healthcare providers say AI’s biggest benefit is allowing staff to return to clinical roles rather than administrative tasks.
With rules and regulations always changing, there’s also hope that AI can help practices stay compliant. Ryan points out that for AI to be truly effective, it must be trained on current regulations and include audit features to meet privacy standards.
With software costs being a concern for about a fifth of providers, most see AI not just as a fix for billing problems, but as a smart investment for the future. Ryan emphasizes that improving transparency and building trust through clearer communication and cost estimates will be just as important as boosting efficiency.
As the medical industry incorporates AI solutions at increasing rates, tech firms like D-Wave Quantum Inc. (NYSE: QBTS) could be further motivated to bring more specialized solutions customized for the needs of medical facilities.
NOTE TO INVESTORS: The latest news and updates relating to D-Wave Quantum Inc. (NYSE: QBTS) are available in the company’s newsroom at https://ibn.fm/QBTS
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