Despite the clear advantages of automation in medical coding, healthcare organizations often encounter barriers that prevent them from adopting these solutions. Concerns typically center around budget constraints, integration with current systems, fear of AI, and uncertainty about a ROI. MediMobile’s automated coding solution, Genesis, is designed to tackle each of these challenges, making the path to automation smoother and more accessible. Let's dive into these common concerns and see how Genesis addresses them directly.
For many healthcare organizations, budget considerations are a significant hurdle. Investing in new technology often means justifying costs to management and ensuring it aligns with financial priorities.
How Genesis Overcomes This: With Genesis, the initial investment quickly pays off. On average, clients see a return on investment within 1-3 months. The platform reduces operational costs by up to 50%, minimizes manual work, and decreases the chances of costly coding errors. Plus, MediMobile offers a competitive pricing model that ensures practices of all sizes can take advantage of the benefits without breaking the bank.
Another common concern is the integration of new software with existing electronic medical record (EMR) systems. Many fear that new tools will disrupt workflows or require extensive setup.
How Genesis Overcomes This: Genesis is designed with seamless integration in mind. It easily connects with your current systems, including popular EMRs, and requires minimal setup. With over 20 years of experience and a reputation as one of the most trusted solutions in the industry, MediMobile brings both expertise and reliability to every implementation. Our dedicated team ensures smooth onboarding, handling all technical details so you can focus on patient care. Our solution operates independently from the EMR, giving you flexibility without compromising on efficiency.
The concept of artificial intelligence can be intimidating. Some worry that AI will lead to job losses, while others may have concerns about the reliability and accuracy of AI-based solutions.
How Genesis Overcomes This: Genesis uses advanced AI and machine learning, but it doesn’t replace your coding team—it empowers them. By automating repetitive tasks, it frees up your team to focus on more complex cases, enhancing productivity and accuracy. Our AI has been trained extensively on diverse data, and it continually learns, ensuring it stays reliable and up-to-date. Plus, we’ve built in a feedback loop, allowing for human oversight to make sure everything runs smoothly.
Investing in new technology can be daunting if you're unsure whether it will yield tangible benefits. Many healthcare practices hesitate due to uncertainty about the financial gains they can expect.
How Genesis Overcomes This: With Genesis, the ROI is clear. Practices that implement our solution experience an increase in revenue by capturing previously missed charges and reducing claim denials. It also improves coding accuracy, ensuring that all services rendered are billed correctly. Our customers see substantial time savings, reclaiming over 10-20 hours per week, which translates into real financial value. MediMobile provides detailed performance reports, so you can track improvements and see the impact on your bottom line firsthand.
Adopting new technology doesn’t have to be a painful process. MediMobile’s Genesis solution addresses every major concern—from budget and integration to trust in AI and ROI—making the transition to automated coding simple and beneficial. We’ve been a leader in the industry for over 20 years, and our experience, advanced technology, and commitment to customer success mean you’re in capable hands.
If you’ve been considering automated medical coding but haven’t made the leap, now is the time. Genesis isn’t just a solution; it’s a partnership designed to streamline your operations and boost your revenue, allowing you to focus on what matters most: patient care.
Ready to see how Genesis can revolutionize your practice? Schedule your personalized demo below: