We are thrilled to announce that Imad B. Nijim has been appointed Chief Executive Officer of AdvaHealth Solutions. 

Having served as a member of our Board of Directors, Imad already shares a deep connection with our mission. He steps into this role with a clear strategy to lead AdvaHealth through its next phase of innovation, market expansion, and cloud-first technology leadership. 

Imad brings a powerhouse of experience in healthcare informatics and medical imaging. Known for building high-performing teams and scaling cloud-based platforms, Imad is uniquely positioned to accelerate our growth in the US market and beyond. 

“I’m honored to lead this incredible team. We have a strong foundation and a massive opportunity to redefine the future of cloud-powered enterprise imaging. I look forward to working closely with our customers and partners to deliver transformative solutions.”

We have big things in the pipeline for the coming months. For now, please join us in welcoming Imad to his new seat at the helm!

— Team AdvaHealth Solutions

The holiday season often amplifies a quiet crisis in healthcare: radiologist burnout.

While hospitals operate on skeleton staff during weekends and holidays, the demand for emergency diagnostics does not pause. For the radiologists on the roster, the pressure is two-fold: the clinical responsibility of the diagnosis, and the logistical friction of accessing the images.

For years, the industry has accepted that “on-call” meant being tethered to the hospital or battling slow, unstable VPN connections from home.

However, as health systems prioritise staff retention and mental health, the technology infrastructure supporting these teams must change.

Burnout is not just about the volume of work; it is about the “cognitive load” required to complete it.

When a radiologist has to wake up at 2:00 AM, drive to the hospital, or wait ten minutes for a large study to download over a legacy VPN, the stress compounds. The tool itself becomes an obstacle.

If the technology is slow, the radiologist is not just fighting the disease; they are fighting the system. This friction, repeated over hundreds of on-call shifts, contributes significantly to fatigue and dissatisfaction.

Mental health in high-pressure roles relies on the ability to switch off. Traditional on-call workflows often rob clinicians of this recovery time because they require a physical presence in the hospital to ensure diagnostic accuracy.

Cloud-native reporting changes this dynamic.

By moving the heavy lifting to the cloud, rather than the local workstation, platforms like AdvaPACS allow radiologists to stream diagnostic-quality images instantly on standard internet connections.

This capability transforms the on-call experience:

• Reduced Travel: The radiologist can report securely from a home office, preserving rest time.
• Instant Access: No waiting for downloads means the “time-to-diagnosis” is faster, allowing the radiologist to return to their personal time sooner.
• User Experience: A stable, fast interface reduces the frustration of technical lag.

The sustainability of a radiology department depends on the well-being of its staff.

Investing in true cloud-native infrastructure is not just an IT upgrade; it is a strategy to protect your human capital. When the technology works reliably, radiologists can focus purely on the patient, confident that they can manage their workload without sacrificing their well-being.

As we move into 2026, the question for hospital administrators is not just “Is our system secure?”, but “Does our system support the mental health of the people using it?”

If your team is struggling with slow remote access or VPN instability during on-call shifts, it is time to evaluate a cloud-native approach.

Contact AdvaPACS today to discuss how we can help you build a reporting workflow that prioritises both patient speed and radiologist well-being.

A recent Free Malaysia Today article highlighted the urgent challenge faced by private hospitals: balancing quality care with financial sustainability amidst rising utilisation and operating costs. The article correctly points to strategies like streamlining operations, optimising resource use, and investing in digital platforms as key to achieving cost savings for patients.

For hospitals focused on executing these core strategies, digitisation is no longer optional. AdvaPACS provides the foundational platform necessary to directly address the operational inefficiencies that drive up the cost of care.

One of the most immediate avenues for cost containment is the elimination of physical waste. Traditional imaging management involves significant material and labour expenditure.

The AdvaPACS platform removes this burden:

• Zero Film Costs: We eliminate the ongoing purchase, printing, and disposal of physical film, achieving measurable savings in consumables.
• Reduced Administrative Labour: Digital handling and archiving of studies replaces manual labour for filing, retrieval, and transport, allowing staff to focus on patient care. This is a direct measure to streamline operations and improve internal efficiency.

The article notes that high utilisation is a critical pressure point. Prolonged hospital stays or delays in treatment escalate costs. Speed and access are essential to managing patient flow efficiently.

AdvaPACS accelerates the time from scan to diagnosis:

• Instant-Access Imaging: Specialists can access high-fidelity images instantly from any approved workstation, rather than waiting for physical delivery.
• Teleradiology Support: Our web-based viewing capability allows radiologists to report studies remotely. This capability is vital for optimising resource use and ensuring that expertise is available quickly, regardless of location.
• Quicker Patient Turnover: By accelerating the diagnostic phase, AdvaPACS supports faster decision-making, helping to reduce patient length of stay and better manage facility utilisation.

The investment made in digitisation and efficiency must be supported against catastrophic failure. Unplanned downtime is the single most expensive operational failure a hospital can face, often leading to hundreds of thousands in immediate costs, including:

• Lost Revenue: Immediate cancellation of procedures and services.
• Wasted Labour: Staff reallocation toward recovery efforts instead of patient care.

AdvaPACS addresses this by treating resilience as a core component of cost containment.

• Risk Mitigation Component: The fundamental AdvaPACS architecture, built on AWS tri location, is designed to provide maximum system stability and data redundancy. This structure is the essential requirement for the comprehensive Business Continuity and Disaster Recovery services that we offer.
• Maintaining Operational Continuity: This reliable architecture is designed to maintain the operational efficiencies gained through reducing physical waste and accelerating diagnosis. By mitigating the risk of system collapse, we reduce financial exposure from unplanned downtime, validating the digitisation investment.

Beyond operational and infrastructure resilience, the AdvaPACS ownership model offers a critical advantage for long-term financial planning. Hospitals require commercial clarity to manage budget sustainability effectively.

• Pay-As-You-Go (OpEx) Model: We eliminate high upfront capital costs, complex licensing, and per-user fees. This transparent, usage-based model ensures your expenditure is directly aligned with patient volume and revenue.
• Flexibility and No Lock-In: Our flexible approach avoids long-term vendor lock-in. This protects the organisation’s capital and ensures maximum commercial flexibility, guaranteeing that your IT investment scales precisely with your financial and patient demands.

Private hospitals are actively working to mitigate rising medical costs for their patients. Investing in digital core systems is fundamental to this effort. AdvaPACS provides the logical, immediate solution for reducing operational waste, increasing staff efficiency, and establishing a secure, commercially flexible digital foundation for the future of private healthcare in Malaysia.

The wind in Chicago wasn’t the only thing biting at RSNA 2025. The commentary on legacy systems was sharper than ever.

While the exhibition floor was packed with the usual buzz, a clear consensus emerged among industry veterans: the era of the “lift-and-shift” cloud strategy is over. The market is moving decisively toward cloud-native optimisation and open architecture.

At AdvaHealth Solutions, we didn’t just witness this shift, we were cited as a prime example of it. Here is a deep dive into the three major trends validated at RSNA 2025, and what they mean for your imaging strategy in 2026.

For years, hospitals have been promised interoperability, only to be sold another proprietary silo. This year, the experts called time on that approach.

Herman Oosterwijk, the renowned “PACS Guy” and interoperability expert, released his influential “RSNA25: What’s IN and What’s OUT” list. He placed “Open Architecture PACS” firmly in the “IN” category, specifically contrasting it against the “OUT” category of “Silos.”

Oosterwijk highlighted AdvaPACS as a key disruptor, noting:

• True Openness: The ability to plug in preferred viewers and AI without vendor lock-in.
• The “15-Minute” Reality: He cited a direct testimony of our system going live in just 15 minutes, validating that rapid deployment is no longer just a marketing claim.
• Business Model Innovation: He praised the “No upfront costs, pay-as-you-go” model as a necessary shake-up for the vendor community.

The Takeaway: If your current PACS vendor is charging you heavy upfront CapEx for a system that locks you in, they are officially “OUT.”

“Cloud adoption” is old news. The conversation at RSNA 2025 moved to “Cloud Optimisation.”

In an exclusive interview from the show floor, AdvaHealth Solutions Board Member Imad Nijim sat down with our CCO Lynette Fong to unpack this nuance. Imad, a technology strategy veteran, warned that many providers are currently “paying twice” for the same utility because they are stuck in a transition that was supposed to take months but has dragged on for years.

“From a CIO perspective, you tend to think of the cloud as an operating system of all your applications versus a single destination,” Imad explained.

When you treat the cloud as an OS:

• Integration accelerates: Plugging in new innovations is “accelerated 100-fold” compared to on-premise infrastructure.
• Hidden costs vanish: You avoid the complex interface fees, VPN setups, and hidden infrastructure costs that plague hybrid/legacy setups.

A major theme this year was the maturity of AI. The hype around “black box” diagnostic tools is fading, replaced by a demand for practical workflow efficiency.

As Imad Nijim noted during the conference, “AI is not solving problems… AI plus radiologists are solving the problems”.

The industry is realising that diagnostic AI often lacks reimbursement pathways and regulatory clarity. The real value lies in workflow optimisation, using AI to automate routine tasks and triage lists so the radiologist can focus on complex cases. This aligns perfectly with the AdvaPACS philosophy: we provide the platform (the “OS”) where you can plug in the specific AI tools that solve your specific workflow bottlenecks.

Finally, the importance of reliability cannot be overstated. The Core Connect Group (CCG) recognised AdvaHealth Solutions alongside other Australian innovators like 4DMedical and Kailo Medical, highlighting the strength of Australian medtech on the global stage.

As noted by our CCO Lynette Fong, the primary challenges for providers today are “access, reliability, and cost“. A true cloud-native architecture solves all three by removing geographical barriers and eliminating single points of failure.

RSNA 2025 proved that the market is ready for a change. The experts have validated that Open Architecture is “IN,” and the “Silo” is dead.

Don’t let your imaging strategy get stuck in the “OUT” pile.

A complete cloud imaging platform (PACS + VNA) designed for scalability, AI-enabled workflows, faster reporting, and operational efficiency, without infrastructure, upfront costs, or lock-in.

SINGAPORE, Nov. 27, 2025 — AdvaHealth Solutions is highlighting AdvaPACS, its cloud-native and AI-forward imaging platform, ahead of a full showcase at RSNA 2025. AdvaPACS brings together imaging workflow capabilities, including reporting, diagnostic viewing, clinician access, and patient access, through a fully managed cloud-native platform that requires no local servers, no complex setup, and can be activated in under 15 minutes.

AdvaPACS is built as a true cloud-native platform, not a lift-and-shift version of legacy PACS. It eliminates the need for local servers and reduces ongoing maintenance, while allowing organizations to scale imaging based on actual usage through a clear, usage-based OpEx model.

AdvaPACS brings imaging storage, reporting, workflow, diagnostic viewing, and access for radiologists, clinicians, and patients together on a single cloud-native platform. It is designed for multi-site healthcare environments, imaging networks, and hospital groups that want centralized management without the need for local infrastructure.

AdvaPACS supports AI-enabled workflows, starting with AI-driven voice recognition through RadPair, which is already integrated into reporting. Work is also underway with Harrison.ai, and the platform allows healthcare providers to connect additional AI solutions as their clinical needs grow.

AdvaPACS includes:

• Highly configurable radiologist reporting worklist
• FDA-approved zero-footprint viewer
• AI-driven voice recognition via RadPair for faster reporting
• Clinician and patient access portals
• Interoperability with hospital systems and imaging devices
• Ability to connect additional AI solutions, with Harrison.ai integration in progress

AdvaPACS meets healthcare security and privacy requirements in the regions where it is deployed, including:

• HIPAA compliance
• ISO/IEC 27001:2022 certification
• Single Sign-On (SSO)
• Multi-Factor Authentication (MFA)
• Regular penetration testing
• Regional data residency aligned with local regulations

AdvaPACS supports multiple operational models, including:

• Primary Production PACS
• Hybrid Cloud PACS
• Disaster Recovery PACS
• Imaging Business Continuity Platform

AdvaPACS redefines imaging ownership with:

• Minimal upfront setup costs
• No user licensing fees
• No modality connection fees
• No annual support or maintenance fees
• No lock-in contracts
• Transparent, usage-based OpEx spending

This model gives healthcare providers full clarity and control over how they invest in imaging technology.

“Providers want cloud-native imaging that is fast to deploy, clinically capable, secure, and ready for AI, without being tied to rigid contracts or proprietary ecosystems. AdvaPACS has been engineered around these needs, with cloud-native architecture, AI-enabled workflows, strong interoperability, and a modern ownership model that removes traditional barriers.”

— Lynette Fong, Chief Commercial Officer, AdvaHealth Solutions

“Modern radiology demands cloud-native infrastructure and seamless AI integration. AdvaPACS gives Frontier Radiology and Harrison.ai Services a platform that can scale instantly, streamline reporting and reduce the operational drag created by legacy systems. This collaboration accelerates our mission to modernize imaging for providers nationwide and ensures seamless AI integration. “

— Joshua Ewell, President of Harrison.ai services

Live demonstrations of AdvaPACS will run throughout RSNA, showcasing reporting workflows, RadPair voice recognition, and a preview of AI capabilities, along with its cloud-native administration tools.

Booth #3265, McCormick Place, Chicago, IL
November 30 to December 4, 2025

In the first two weeks of our RSNA 2025 blog series, we explored how imaging is evolving through cloud-native platforms and what healthcare organizations need to operate confidently in this new landscape.

Week 1 introduced the broader transition toward cloud-native imaging in How Cloud PACS Vendors Are Defining the Next Era of Imaging

Week 2 built on that foundation with The Five Pillars of Cloud Maturity, outlining the capabilities required for resilient, scalable, and future-ready imaging environments.

Together, these form the backdrop for this week’s topic, a question many organizations are asking as RSNA approaches:

What does it really mean for a PACS to be “AI-ready”?

And how can healthcare providers prepare for AI without getting caught up in hype or unrealistic promises?

While AI continues to generate excitement in medical imaging, meaningful adoption depends far less on the algorithms themselves and far more on the environment they operate in.

Being “AI-ready” is not about buying AI products. It’s about having a system that can support AI when you choose to adopt it, efficiently, securely, and without disruption.

Three principles help define what this readiness looks like.

Introducing AI should not require a major overhaul or cause workflow interruptions.

An AI-ready PACS is built so new capabilities, whether AI-driven voice recognition, automation features, or diagnostic tools, can be added without destabilizing the existing system.

When a platform can support new tools without downtime, AI becomes a natural extension of the environment rather than a disruptive change.

AI performs best when the information it receives is consistent and predictable. An AI-ready environment ensures clarity and uniformity across studies and workflows so future AI tools can interpret and operate with greater reliability.

This principle builds directly on Week 2’s discussion of cloud maturity: the more structured and standardized your environment is, the easier it becomes to introduce AI later.

AI will not arrive all at once, it will come in waves. An AI-ready PACS supports this by enabling workflows that can adapt as clinical needs, regulations, and AI capabilities evolve.

Flexibility ensures that AI insights can be incorporated directly into the way radiologists and clinicians already work, without forcing rigid or disconnected processes.

If cloud maturity was about strengthening the core environment, AI readiness is about preparing for what comes next. Once an organization has reliability, consistency, and adaptable workflows, adding AI becomes significantly more efficient.

In many ways, AI maturity is the continuation of cloud maturity. The stronger your foundations, the more value AI will deliver when introduced.

AdvaPACS focuses on preparing healthcare organizations for the future by prioritizing flexibility, openness, and workflow-centric design.

Instead of locking you into a closed ecosystem, AdvaPACS concentrates on the enablers that make AI usable when providers are ready, including:

• Open Integration: Enabling approved AI partners (like our integration with RadPair for voice reporting) to securely access the workflow.
• Workflow Continuity: Supporting workflows that introduce new tools without major disruption.
• Scalability: Offering a cloud-native platform that can grow alongside AI adoption without the need for on-premise hardware upgrades.

This approach ensures organizations stay in control, choosing their AI partners and adopting new capabilities at their own pace, on their own terms.

Preparing for AI doesn’t mean deploying AI immediately. It means creating an environment where AI can be introduced confidently and responsibly when the time is right.

This preparation brings benefits today, including:

• Smoother workflows
• Clearer information handling
• Easier onboarding of new technologies
• Reduced future integration complexity

AI adoption is a journey, and building readiness early prevents downstream challenges.

As RSNA 2025 approaches, the industry conversation is shifting from “Which AI products are launching?” to “Are we prepared to use AI effectively when we choose to adopt it?”

Being AI-ready is ultimately about infrastructure, flexibility, and long-term readiness, not algorithms. By focusing on standardized information, flexible workflows, and the ability to introduce new tools without disruption, healthcare organizations can build an imaging ecosystem prepared for the next wave of innovation.

Next in the Series: Preparing for RSNA 2025 This is the third article in our RSNA 2025 lead-up series. In the coming weeks, we’ll continue exploring how cloud-native imaging platforms are shaping the future of radiology and what organizations can do today to prepare for upcoming innovations.

If you’re attending RSNA 2025, we’d love to discuss how healthcare providers are approaching AI readiness and how platforms like AdvaPACS support a future-focused imaging environment.

Booth #3265 | RSNA 2025 | Chicago, IL November 30 – December 4, 2025

RSNA 2025 spotlights a new competitive frontier, cloud maturity.

At RSNA 2025, cloud adoption is no longer the headline. The real question for hospitals and imaging networks is: who has achieved true cloud maturity?

After years of migration, the market has entered a post-adoption phase where success is measured by reliability, deployment agility, interoperability, and readiness for AI-driven workflows.

It’s not about being in the cloud, it’s about performing in the cloud.

If you missed last week’s article, read RSNA 2025 Preview: How Cloud PACS Vendors Are Defining the Next Era of Imaging to see how the conversation first shifted from “cloud adoption” to “cloud value.”

Across RSNA show floors and panels, one pattern is clear: the conversation has shifted from why cloud to how well cloud works.

Mature PACS vendors are demonstrating:

• Reliability proven through live uptime dashboards and transparent service metrics.
• Deployment agility via automated provisioning and zero-downtime upgrades.
• Operational efficiency through elastic scalability and reduced maintenance overhead.
• Interoperability using DICOMweb, FHIR, and IHE frameworks to unify workflows across RIS, VNA, and EHR systems.
• AI readiness through open APIs and governed AI integrations.

These five qualities form the industry’s new definition of maturity, a common benchmark by which every vendor, from global leaders to emerging innovators, will be evaluated at RSNA 2025.

Artificial intelligence is moving from experiment to infrastructure.
The most mature cloud imaging systems are designed to host, connect, and manage AI tools safely, without adding workflow complexity.

Industry examples include voice-enabled structured reporting and marketplace-based AI deployment, allowing hospitals to test and scale algorithms inside their own environments through vendor-neutral APIs.

These capabilities represent the natural evolution of cloud maturity,  turning imaging data into an intelligent, interoperable resource.

A regional health network modernises its imaging infrastructure with an automated rollout process, achieving go-live across several facilities in days rather than months, a clear sign of deployment maturity.

A diagnostic centre reduces infrastructure workload and maintenance overhead through automated updates and continuous delivery.

New features, security patches, and standards updates are deployed seamlessly, no weekend outages, no manual installs.

By automating what once required human intervention, the IT team can redirect effort toward clinical innovation projects.

This demonstrates operational maturity, efficiency powered by automation and constant improvement.

Unified access means reports generated by radiologists appear instantly for clinicians and are securely shared with patients, demonstrating interoperability maturity.

Hospitals introduce voice-driven reporting and AI triage models through open, governed interfaces, showing AI readiness that supports accuracy without sacrificing oversight.

Within this RSNA landscape, AdvaPACS exemplifies the maturity principles defining the next era of imaging.

Its complete cloud imaging platform unites radiologists, clinicians, and patients in one ecosystem, and integrates openly with AI partners such as Radpair (AI voice recognition for reporting) and CARPL (radiology AI marketplace).

• Under 15 minutes to deploy: setup is as simple as installing the AdvaPACS Gateway on a workstation.
• Uptime transparency: real-time status published at https://status.advapacs.com
• Open standards & APIs: built for seamless interoperability and AI readiness.

At RSNA 2025, AdvaPACS will showcase how these pillars translate into tangible value for health systems worldwide.

Every RSNA cycle introduces new buzzwords, but this year’s undercurrent is unmistakable: trust through transparency. Health systems are seeking platforms that have evolved past “cloud” as a promise and into “cloud” as a proven, measurable reality.

Vendors able to demonstrate consistent uptime, frictionless interoperability, and responsible AI integration will define the next generation of enterprise imaging.

To see how this discussion began, revisit Week 1: RSNA 2025 Preview, How Cloud PACS Vendors Are Defining the Next Era of Imaging

Explore how cloud maturity translates into measurable performance, operational agility, and responsible innovation.

Visit AdvaPACS at RSNA 2025 to experience a unified cloud imaging platform built for interoperability and AI readiness.

Booth #3565 | RSNA 2025 | Chicago, IL
November 30 – December 4, 2025

As the global radiology community prepares for RSNA 2025, one thing is clear: the cloud PACS conversation has changed. The question is no longer “Should we move to the cloud?”, it’s “Which cloud PACS vendor is delivering true maturity, reliability, and integration?”

Over the past few years, healthcare organizations have proven that cloud-native imaging is here to stay. Now, attention is shifting toward how well these systems scale, interoperate, and prepare radiology workflows for the next generation of innovation, including artificial intelligence (AI).

According to recent insights from KLAS Research, the U.S. imaging market is one of the most competitive in healthcare IT. Hospitals and imaging networks are no longer experimenting with the cloud—they’re optimizing it.

The vendors that stand out in 2025 demonstrate proven performance, interoperability, and continuity across the imaging workflow, from acquisition to reporting to care coordination.

At RSNA 2025, decision-makers are asking deeper questions:

• How well does your PACS integrate with reporting and clinical workflows?
• Can your platform provide a unified experience for radiologists, clinicians, and patients?
• How easily does your system connect with third-party AI tools or analytics engines?

These are the maturity markers separating modernization projects from truly modern RSNA cloud PACS vendors.

Today, cloud maturity means end-to-end efficiency, from image ingestion to insight delivery.

Key traits include:

• Operational consistency: real-time collaboration between radiologists, referrers, and patients.
• Deployment agility: scalable infrastructure as imaging volumes grow.
• Performance transparency: measurable uptime and latency metrics.
• Governance and compliance: native adherence to HIPAA, GDPR, and local data-sovereignty laws.

Healthcare enterprises expect secure, region-based data management and workflow connectivity, not fragmented tools. AdvaPACS brings both to RSNA 2025.

Interoperability has shifted from ambition to assumption. Standards such as DICOMweb, FHIR, and IHE profiles are now baseline.

The differentiator is how seamlessly imaging data flows across the enterprise, from diagnostic reporting to clinician access to patient engagement.

With AdvaPACS, that interoperability extends beyond PACS:

• Reporting Worklist unifies cases across modalities and locations for efficient reading.
• Clinician Portal enables referring physicians to access reports and images securely in real time.
• Patient Portal empowers patients to view and share imaging results easily, without complex downloads or CD handoffs.

This ecosystem eliminates silos and enables a fully connected imaging experience.

While RSNA 2025 will feature many AI innovations, true progress depends on infrastructure readiness.

AdvaPACS is AI-ready, providing the secure APIs and data pathways necessary for hospitals to integrate third-party AI algorithms without rebuilding their imaging foundation.

This flexibility ensures healthcare organizations can adopt the best AI tools for their workflows while maintaining control and compliance within the AdvaPACS cloud environment.

Expect the McCormick Place show floor to highlight:

• Unified imaging workflows connecting radiologists, clinicians, and patients.
• Zero-footprint viewing with enterprise performance.
• Vendor-neutral data exchange across multi-site systems.
• AI-workflow integrations extending PACS value.
• Secure, compliant data management within national boundaries.

The leading RSNA cloud PACS vendors will demonstrate maturity through workflow cohesion—not just cloud migration.

AdvaPACS represents the next generation of mature, cloud-native imaging platforms. Built for the cloud from day one, it delivers:

• Comprehensive workflow integration: unified PACS, Reporting Worklist, Clinician Portal, and Patient Portal within a single cloud platform.
• Scalable performance: elastic infrastructure that adapts to enterprise growth.
• Proven interoperability: native DICOMweb, FHIR, and open API support.
• AI-ready design: direct integration with third-party AI applications.
• Regional resilience: data stored and replicated within the same country or regulatory zone to meet local data-sovereignty and healthcare-privacy requirements, ensuring availability without cross-border transfer.

At RSNA 2025, AdvaPACS will showcase how unified, cloud-native imaging workflows accelerate diagnosis, enhance collaboration, and improve patient access.

RSNA 2025 isn’t about debating whether the cloud belongs in imaging—the debate is over. The focus now is on how cloud PACS vendors deliver full workflow maturity, connecting radiologists, clinicians, and patients in one secure, compliant ecosystem.

For healthcare organizations ready to modernize without compromise, AdvaPACS offers a proven, end-to-end cloud imaging solution, built for the cloud, ready for the future.

Booth #3565 | RSNA 2025 | Chicago, IL
November 30 – December 4, 2025

The promise of AI in radiology is undeniable. From faster, more accurate diagnoses to streamlined workflows, clinics & hospitals are eager to adopt these powerful new tools. You have the vision and the clinical need, but when the time comes to approve the budget, many AI projects stall for a surprising reason.

It’s often not the cost of the AI software itself that makes a project unviable. The challenge is often a hidden, recurring fee that we call the “AI Innovation Tax”—a cost embedded in a PACS vendor’s outdated, per-user pricing model.

If you manage a hospital budget, you’ve likely felt this pain already. The traditional PACS business model was built on a simple premise: pay a license fee for every single person who needs to access the system.

A recent KLAS Research report confirms the US PACS market is highly active, with a significant number of hospitals looking to replace their legacy systems. The findings show that an outdated PACS is a strategic liability because it creates workflow barriers and limits a healthcare organization’s ability to adapt to future needs, like AI. This is especially true as you try to expand services:

• You hire a new radiologist? That’s another annual license fee.
• You want to give referring doctors at a new clinic access to images? More license fees.
• You are expanding your teleradiology services to meet demand? Your PACS bill grows with every new reader.

Your PACS, which should be a tool to help you expand your services, becomes a variable cost that actively works against it.

This issue is amplified when you try to introduce an innovative AI tool. An AI application needs to connect to your PACS to analyse images, and many legacy vendors treat this connection as just another “user.”

Your budget for a new AI project might look like this initially:

• Cost of AI Software: $50,000 per year.

But with a per-user licensing model, the true cost can quickly balloon:

• Cost of AI Software: $50,000
• + New PACS “User” License for the AI tool: $5,000
• + New Licenses for 2 AI support staff: $10,000
• + One-time “Integration Module” Fee from your PACS vendor: $15,000

That “Integration Module” fee exists because legacy systems are often not designed for easy connection. This lack of cloud-native interoperability creates the need for costly, custom add-ons.

Suddenly, your $50,000 AI project has a first-year cost of $80,000. This is the Innovation Tax. The very act of trying to innovate triggers a recurring cost from your existing PACS vendor. The platform that should enable your future becomes a barrier to progress.

The solution isn’t just better technology; it’s a better business model.

A modern, cloud-native platform like AdvaPACS is built on the principle of unlimited access. You pay a predictable fee for the platform, and that’s it. No more counting users. No more penalties for growth.

Let’s look at the AI project budget with this new model:

• Cost of AI Software: $50,000
• AdvaPACS Platform Cost: No change. Unlimited users are already included.

Your PACS cost remains stable and predictable. The budget you would have spent on extra licenses and fees can now be allocated to what really matters: purchasing a second AI tool, training your staff, or accelerating another strategic project.

Your PACS is no longer a toll gate for innovation; it’s the highway.

Choosing a PACS is no longer just a technical decision about viewers and storage. It is a critical financial and strategic decision that will determine your hospital’s ability to innovate for the next decade.

You must ask yourself: Do you want a PACS that adds unforeseen costs to progress, or a platform that enables it?

Book a complimentary strategy session to future-proof your AI budget and see how a modern cost model can accelerate your innovation.

The growing demand for specialised radiology services presents a clear business opportunity. However, the traditional path to launching a teleradiology practice has been blocked by significant capital outlay for on-premise servers and complex IT management.

While many vendors now offer “cloud” solutions, a critical distinction exists. Many are simply legacy, on-premise software hosted on a remote server (“cloud-hosted”). A true cloud-native PACS is built from the ground up for the web, offering fundamental advantages in cost, scale, and flexibility. This guide provides a pragmatic framework for leveraging a cloud-native platform to launch your practice efficiently and with lower risk.

The largest initial barrier for any new practice is capital expenditure. Traditional PACS requires purchasing, installing, and maintaining expensive physical servers and storage. This model locks up capital in depreciating assets before you generate revenue.

A cloud-native approach fundamentally changes this financial model by converting a large capital expense (CAPEX) into a predictable operational expense (OPEX). This shift enables new teleradiology companies to reach profitability faster—with lower upfront risk.

Crucially, AdvaPACS’s pay-per-study model differs from many “cloud-hosted” vendors who still charge high fixed monthly fees regardless of your study volume. With our model, your costs scale directly with your business activity.

Growth should be a strategic opportunity, not an IT project. With legacy systems, adding a new hospital client or expanding your radiologist team involves a slow and expensive process of purchasing new server capacity and user software licences.

A cloud-native architecture is designed for elasticity. As your study volume grows or you onboard new clients, the platform’s resources expand automatically. This includes unlimited user accounts for radiologists and referrers with our zero-footprint viewer—a feature that eliminates the per-seat licensing fees common with other vendors. This allows you to scale your operations without financial penalties or technical delays.

For any teleradiology practice, data security and system uptime are paramount. Managing this in-house is a significant operational burden that requires specialised, costly IT resources.

A key advantage of a cloud-native platform is its foundation on enterprise-grade infrastructure like Amazon Web Services (AWS). This means your practice is protected by a level of security and compliance auditing that is typically reserved for large-scale enterprises.

• Compliance Ready: Our platform helps you meet standards like HIPAA (US) and GDPR (UK/EU).
• Business Continuity: All data is automatically replicated across three distinct geographical locations. This provides robust disaster recovery without any additional configuration or cost.

The success of a teleradiology practice depends on the efficiency of its radiologists. Providing secure, reliable, and fast access to imaging studies is a core operational requirement.

AdvaPACS’s zero-footprint web viewer allows your radiologists to report from any location using a standard web browser. There is no software to install, update, or maintain on local workstations. This simplifies onboarding new team members and enables you to build a team of specialised radiologists, regardless of their location, without technical friction.

Launching a teleradiology practice with a cloud-native strategy is not about hype; it’s about making a sound business decision that lowers financial risk and creates a more agile, scalable foundation. By removing hardware dependency and shifting to a true operational cost model, you can focus capital and resources on business development and patient care.

• Validate your business model without factoring in major hardware costs.
• Plan for growth with a system that offers unlimited user accounts and scalable storage.
• Offload complex security and IT management to a trusted cloud-native platform.
• Recruit top radiologists from anywhere by using a high-performance, zero-footprint viewer.

See how AdvaPACS can serve as your technical and financial foundation. Schedule a personalised demonstration with one of our product specialists to explore the platform’s capabilities.