Radiology Reimagined: How Artificial Intelligence in Healthcare Is Prompting Patient-Focused Care

, | August 29, 2023 | By

Artificial intelligence (AI) is inescapable in the modern world, particularly in healthcare. It seems like every news outlet is running a different story about the bewildering capabilities of AI, its risks, and the fundamental challenges it presents. 

That’s all true. AI is complex, and applying it correctly requires experience, wisdom, and expertise. At Royal Solutions Group, we uncover new reasons to be excited about artificial intelligence technology in healthcare each day.

Here are four AI-fueled transformations we’re seeing in healthcare and radiology practices. 

Implementing Artificial Intelligence in Healthcare for Truly Predictive Treatments

Healthcare is constantly evolving. That’s not new.

What is new is the rate at which healthcare is evolving. The improvements that new tools—such as cloud-native solutions—unlock can have a tremendous impact on fundamental aspects of healthcare.

For one thing, AI is changing the way we approach diagnoses and treatment plans. AI in healthcare allows providers to move beyond reactive treatments, instead embracing proactive, predictive, and personalized care. 

How? AI allows for ultra-efficient data analysis and nearly prescient pattern identification, dramatically enhancing diagnostic accuracy and allowing for symptom recognition earlier than ever thought possible. This enables an era of visualized medicine, allowing today’s healthcare professionals to make highly targeted recommendations and predictions based on individual patient data.

But, as life-changing as AI-fueled analyses and the shift to predictive care is, it’s far from the only way AI transforms healthcare. 

Virtual Support, Real Impact: Artificial Intelligence in Radiology Practices

AI-powered tech solutions are causing patient engagement to skyrocket. 

AI tools can provide administrative professionals 24/7 support with virtually any task, including allowing patients to self-schedule (and optimizing the entire scheduling process). This is a win for patients—who can access personalized assistance in an incredibly timely manner—and practice staff—who will see efficiency gains across the board without risking burnout. Practices can also leverage AI to promote proactive care by automating patient and provider notifications to reduce the likelihood of anything falling through the cracks (for example, scheduling patient follow-ups or notifying care teams about overdue studies). 

As a software provider, we can also use the latest technology to anticipate and respond to changing practice needs. For example, because our solutions are cloud-based, we can turn around updates and implement new features in weeks, not months.

“With Royal … there are times where we tell them a story problem of a business need that we're trying to solve, and we will talk through the problem, and two weeks later I have a solution. And that is imperative, again, to our business, is that we get answers quickly, we get fixes quickly, and we are able to develop and innovate quickly.”Jessica Montgomery, COO, California Medical Business Services

Artificial Intelligence and Healthcare: Behind-the-Scenes Admin Benefits

AI isn’t just transforming clinical care and front-of-office operations. It’s causing forward-looking practices to rethink back-office work too. 

One example? Revenue cycle management. Through AI, administrators can fully automate repetitive tasks such as insurance authorizations and fee schedule management. This enables cleaner claim submissions and reduces the burden on administrative teams. 

It also increases the likelihood of claim success. AI can scrutinize claims against relevant rules, precedents, and regulations, significantly minimizing the risk of denials and improving revenue flow. AI-assisted tools can also analyze actual payments and compare them to the contracted amount to promote payer contract adherence. This ensures practices get reimbursed accurately and supports their overall financial health. 

Implementing Artificial Intelligence in Radiology While Ensuring Patient Privacy and Data Security  

As the healthcare sector becomes increasingly data-centric, protecting patient privacy and securing practice data will be more important than ever. 

To this end, implementing AI can be tricky. 

AI can enhance how practices operate and make it easier for practitioners to use their data well. However, doing so introduces specific challenges in protecting sensitive health information.

Fortunately, there are ways to maintain data security while maximizing the benefits of AI in healthcare.

          •           - Ensuring that patient data is encrypted as robustly as possible.
                      - Providing access to AI-enabled systems only to those whose role requires it.
                      - Conducting regular security audits.
                      - Providing continuous training to staff about the best use of technological tools.

Join Us as We Leverage Artificial Intelligence in Healthcare for a Healthier Future

As we continue to move forward to implement artificial intelligence in healthcare, it’s critical to understand what’s possible and understand the safest, most strategic ways to evolve your business. 

That’s where having an innovative and thoughtful software and services provider at your side can come in handy. To join Royal in exploring the remarkable potential of artificial intelligence in healthcare, check out the solutions we built to help information flow more effectively through your practice.