The World Health Organization says there are nearly 2 million different kinds of medical devices on the global market across more than 7,000 generic device groups. That number alone explains why security challenges for smart medical devices in hospitals are no longer a niche IT concern. The scale has already outgrown traditional security models.

Most hospitals still approach cybersecurity like an outer wall problem. Build stronger perimeters. Add more monitoring tools. Hope attackers stay outside. Meanwhile, the real risk is already sitting inside the network through unmanaged devices, outdated firmware, and invisible connected systems that quietly expand cyber exposure every year.

The Operational Reality Behind Smart Medical Device Security Risks

Most connected medical devices were never designed for the threat environment hospitals face today. They were designed to deliver clinical outcomes first. Security came later. In some cases, it barely arrived at all.

That becomes a major problem since hospitals don’t really refresh medical infrastructure in the same way enterprises refresh laptops or cloud systems. A patient monitor, imaging scanner, or infusion pump can still work, for 10 to 15 years, and during that lifespan operating systems kind of age, firmware support weakens, patch cycles turn painfully slow. Also, some devices simply cannot be patched, without creating disruption to clinical certification or breaking vendor warranties.

The result is a strange contradiction. Hospitals now run highly advanced digital environments on top of aging medical infrastructure that was never built for continuous cyber conflict.

Visibility makes the situation worse. Security teams often do not have a complete inventory of connected devices operating across clinical networks. One department may deploy new monitoring equipment without informing central IT. Another may connect third-party diagnostic systems directly into hospital infrastructure. This creates what many security teams now describe as shadow IoMT. Devices exist on the network, exchange sensitive data, and interact with critical systems, yet nobody fully tracks their behavior.

That is where security challenges for smart medical devices in hospitals become operational instead of theoretical.

A compromised vitals monitor is not just another endpoint. It can become an access bridge into clinical systems, scheduling platforms, or electronic health record environments. Microsoft recently warned that connected healthcare devices such as infusion pumps, imaging scanners, and patient monitors can become entry points when endpoints are not properly secured. That changes the conversation completely because hospitals are no longer protecting only data centers. They are protecting thousands of connected physical devices spread across wards, labs, emergency rooms, and operating theaters.

Meanwhile, proprietary communication protocols continue to complicate defense strategies. Many medical devices use non-standard traffic patterns that traditional IT security tools struggle to inspect properly. Security teams often hesitate to segment or restrict these devices aggressively because clinical operations cannot tolerate downtime or connectivity interruptions. That hesitation creates blind spots attackers increasingly understand how to exploit.

The uncomfortable truth is simple. Healthcare organizations are trying to secure modern connected ecosystems using security assumptions built for a far less connected era.

Why Cybersecurity Failures Are Becoming Patient Safety Events

For years, healthcare cybersecurity discussions focused mainly on data theft. Patient records. Insurance data. Compliance fines. That framing now feels outdated.

A ransomware attack inside a hospital no longer stops at encrypted files. It can disrupt care delivery itself.

If a compromised infusion pump delays treatment, that becomes a clinical problem. If imaging systems go offline during emergency care, that becomes an operational problem. If hospital staff lose access to patient histories during a cyber-incident, that becomes a patient safety problem.

This shift matters because attackers are changing tactics too.

Google Cloud’s M-Trends 2026 report found a global median dwell time of 14 days, while exploits accounted for 32% of intrusions. More importantly, the report identified a growing shift toward recovery-denial tactics. That phrase deserves attention because it explains where modern healthcare cyberattacks are heading.

Attackers are no longer satisfied with stealing data. Increasingly, they want to disrupt recovery itself. They want hospitals locked out of systems, unable to restore operations quickly, and trapped inside prolonged service disruption cycles.

That pressure hits healthcare harder than almost any other sector because hospitals cannot simply pause operations for three days while infrastructure teams investigate malware. Clinical environments operate continuously. Emergency care does not wait for incident response meetings.

The financial consequences are severe too, although the operational consequences are even worse. IBM says the average healthcare breach cost reached USD 7.42 million in 2025, marking the highest breach cost across industries for the 14th consecutive year. Yet the real damage often extends beyond the balance sheet. Downtime erodes trust. Delayed procedures damage patient confidence. Repeated disruptions weaken the reliability hospitals depend on every day.

Cybersecurity in healthcare has quietly crossed into resilience engineering. That changes how leaders need to think about investment, governance, and risk ownership.

Why Regulatory Pressure Is Finally Catching Up

Regulators have started recognizing that connected healthcare systems cannot operate under outdated security assumptions forever.

That is why the FDA’s recent push around Predetermined Change Control Plans matters far more than many hospitals realize. AI-enabled medical devices now evolve after deployment through software updates, algorithm refinements, and performance adjustments. Traditional approval cycles were not built for systems that continue changing after entering clinical environments.

The FDA’s evolving approach signals something bigger underneath the surface. Security can no longer be treated as a one-time compliance checkbox completed during procurement. It has become part of the device lifecycle itself.

At the same time, NIST CSF 2.0 pushes organizations toward a more operational understanding of cyber resilience. The framework sounds straightforward on paper. Identify. Protect. Detect. Respond. Recover. Yet healthcare environments struggle because each layer intersects directly with patient care workflows.

Identifying assets sounds easy until a hospital realizes hundreds of unmanaged devices operate across multiple departments. Protecting systems sounds logical until aggressive segmentation risks disrupting clinical access. Detecting abnormal behavior becomes harder when proprietary medical protocols generate unusual traffic by default.

That tension is exactly why security challenges for smart medical devices in hospitals cannot be solved through compliance documents alone. Hospitals need security models that understand clinical realities instead of fighting against them.

The real shift happening now is philosophical. Cybersecurity is slowly moving from the IT department into enterprise risk management and operational governance.

That shift was overdue.

Also Read: Guide to Implementing Zero Trust Security Architecture: A Step-by-Step Framework for Modern Enterprises

How Healthcare Providers Can Actually Reduce Cyber Risk

Most hospitals do not need more cybersecurity slogans. They need architecture changes.

Zero Trust is one of the few approaches that genuinely fits modern hospital environments because it assumes compromise will happen somewhere inside the network. Instead of trusting connected devices automatically, Zero Trust limits how far an attacker can move after gaining access.

That matters enormously in healthcare. A compromised vitals monitor should never have unrestricted visibility into EHR databases or pharmacy systems. Micro-segmentation helps contain damage before attackers move laterally across clinical infrastructure.

At the same time, hospitals need to pressure vendors harder on transparency. Medical devices increasingly rely on layered software components, third-party libraries, and external dependencies that hospitals rarely see clearly. This is where Software Bills of Materials become critical.

An SBOM functions like an ingredient label for medical software. It tells healthcare organizations what components exist inside a device environment and whether vulnerable dependencies are present. Without that visibility, hospitals operate blind during vulnerability response cycles.

Continuous monitoring matters just as much, maybe even more. Annual security audits no longer really capture the tempo of modern cyber threats, because threat actors tend to move faster than traditional compliance schedules. So hospitals should switch toward real-time traffic observation, behavioral analytics and continuous weakness management rather than doing periodic checkbox assessments.

Recovery planning also deserves far more attention than it currently gets. Many organizations still spend heavily on prevention while underinvesting in operational recovery capabilities. That imbalance becomes dangerous during ransomware events.

AWS recently emphasized that healthcare organizations must strengthen their ability to prepare, respond, and recover quickly inside highly regulated environments. That sounds obvious until hospitals discover their backup environments, recovery workflows, or clinical restoration plans were never realistically tested under attack conditions.

Cyber resilience in healthcare is no longer about preventing every breach. That goal is unrealistic. The real objective is containing disruption before patient care absorbs the impact.

Future-Proofing Healthcare Means Securing Trust First

Healthcare keeps moving toward deeper connectivity because the clinical advantages are too significant to ignore. Remote monitoring improves care continuity. Smart diagnostics improve speed. Connected systems improve coordination across hospitals. None of that is slowing down.

The problem is that hospitals still buy many connected devices as medical assets first and cyber assets second. That thinking no longer works.

Security challenges for smart medical devices in hospitals are now tied directly to operational resilience, patient safety, and institutional trust. A hospital can survive a delayed software rollout. It cannot survive repeated failures in clinical reliability.

That is why cybersecurity must move upstream into procurement, architecture planning, vendor evaluation, and executive governance. Not after deployment. Not after a ransomware incident. Before all of it.

Patient trust remains the real infrastructure underneath healthcare. Every connected device either strengthens that trust quietly or weakens it silently. The hospitals that understand this early will not just become more secure. They will become more resilient when the next wave of healthcare cyber disruption arrives.

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Designed for complex coronary interventions, the Cora Torqueable Microcatheters introduce enhancements focused on spinning freedom and torque transmission, supporting controlled navigation and lesion crossing in challenging anatomies.

The updated microcatheters incorporate refinements to hub design, shaft construction, and distal profile to improve handling, pushability, and trackability.

The Cora Flex Torqueable Microcatheter is designed to support navigation in tortuous vessels, septals, and microchannels, while the Cora Force Torqueable Microcatheter, featuring a metal tip, is engineered to provide additional pushability and tip force in more resistant, calcified, and fibrotic lesions.

The devices are built on Cora Tech, a proprietary construction featuring a no-liner design with PTFE-coated coils to enable unrestricted torque rotation, combined with a stainless-steel braid intended to support controlled torque transmission and catheter stability. In addition to spinning freedom, the predictable torque transmission offers precise control, especially when navigating tortuous vessels.

Also Read: Aptar Digital Health Partners with Enable Injections for enFuse® Companion Digital Solution

“The new Cora Torqueable Microcatheters are truly next-generation devices that will become a standard in my daily practice,” said Garrett B. Wong, MD, FACC, FSCAI, Clinical Professor of Medicine at the UC Davis Medical Center, Sacramento, California. “Both versions deliver outstanding performance, especially spinning freedom. I can rotate the catheter without the risk of guidewire lock-up, which is a major benefit when crossing challenging anatomies.”

Dr. Wong was among the physicians who provided real-world procedural feedback during the iterative development of the Cora Torqueable Microcatheters.

“From an engineering perspective, we focused on optimizing rotational behavior, torque transmission, and overall handling characteristics,” said Outhit Bouasaysy, Vice President of Engineering at Reflow Medical. “These enhancements reflect direct physician input and our targeted approach to building endovascular solutions to advance the treatment of challenging coronary lesions.”

“The U.S. launch of the next-generation Cora platform represents an important step in expanding our coronary portfolio to support patients with coronary artery disease,” said Dejan Ilic, Vice President, Global Marketing at Reflow Medical.

Reflow Medical has recently expanded its presence in the coronary segment, including the presentation of first-in-human data from the DEEPER CORONARY study, evaluating the Spur^® Elute Coronary Sirolimus-Eluting Retrievable Stent System for the treatment of coronary in-stent restenosis.

Source: BusinessWire

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“The industry is in an arms race where a state-of-the-art model or point solution is outdated in weeks,” said Khan Siddiqui, MD, co-founder and CEO of HOPPR. “What matters is flexible, underlying infrastructure that teams can adapt to their specific environment. This model is built with flexibility in mind: it’s a component that organizations can shape to their workflows and data with the traceability and validation behind it to support responsible deployment.”

Core capabilities:

• Narrative Language Generation: Translates chest X-ray images into descriptive, structured language that can be adapted for use within radiology reporting workflows.
• Chest Radiography Image Input: Processes standard chest X-rays, including frontal and lateral views, and interprets visual patterns to generate corresponding text.
• Broad Coverage: Trained on a large set of chest X-ray reports and evaluated across a wide range of common patterns, with sampling designed to reflect diverse conditions and variability seen in real-world data.
• Training Data Traceability: HOPPR maintains records of training data to support transparency, traceability, and downstream evaluation by developers.
• Performance: The model has been evaluated against internal benchmarks and demonstrates strong performance with the flexibility to be further fine-tuned to align with the developer’s final application.
• Version Control: Allows teams to lock model versions, ensuring consistency and reproducibility across development and deployment.

Also Read: BD Launches a Drug Dispensing System with Artificial Intelligence in the European Market

The model is designed for organizations developing AI-powered radiology capabilities and is deployed with support from HOPPR Forward Deployed Services (FDS). This approach allows organizations to evaluate and adapt the model to their specific use cases, workflows, and data environments, helping ensure alignment with real-world operational needs. FDS works closely with partners to evaluate and implement the model, supporting initial applications across workflow augmentation, training, and research.

“We just gave medical images a voice,” said Roger Boodoo, MD, Medical Director of AI at HOPPR and practicing radiologist. “For over a decade, AI gave us a second set of eyes but left us to do all the talking. By providing models that enable developers to build applications that translate images into natural language workflows, we’re reducing AI friction and giving radiologists their time back.”

Source: PRNewswire

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Through this partnership, Aptar Digital Health will deliver a companion digital solution for Enable Injections’ enFuse^® system, designed to enhance the patient experience and support adherence. Key features of the solution will include treatment data recording, onboarding and training modules, injection guidance, patient-reported outcomes and symptom tracking – helping to empower patients and caregivers with greater confidence and control over the treatment process.

Built on a flexible and scalable architecture, the companion solution will be deployed alongside the enFuse^® system, enabling pharmaceutical partners to extend the value of their therapies beyond delivery. Designed to evolve across the drug development lifecycle, the solution will support use cases from clinical trials through commercialization, aligned with development and launch strategies.

Also Read: BD Launches a Drug Dispensing System with Artificial Intelligence in the European Market

Adherence data and patient reported outcomes will be captured remotely, securely stored and made available through analytics dashboards that generate actionable insights to support clinical development, launch readiness and real-world use. The modular, program-specific design will allow pharmaceutical partners to integrate digital components into their clinical or commercial programs based on their needs. By combining device-generated data with patient reported insights, the solution will help drive more informed decisions grounded in real-world usage.

“The enFuse^® companion solution reflects our vision of a more connected treatment experience that supports patients beyond the moment of injection,” said Michael D. Hooven, Chairman and CEO of Enable Injections. “Together with Aptar Digital Health, we aim to combine innovative drug delivery with digital support tools that can help patients remain engaged in their therapy and enable healthcare providers to better understand and support each patient’s journey.”

“We are excited to partner with Enable Injections to help bring the next generation of drug delivery solutions to life,” said Damien McKeon, SVP Strategic Partnerships, Aptar Digital Health. “Large-volume biologic therapies are increasingly used to treat complex chronic conditions. They often require long-term adherence to achieve optimal outcomes. Digital solutions supporting treatment tracking and patient engagement can help address common adherence challenges associated with self-administration.”

Source: GlobeNewswire

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, a leading global medical technology company, announced the European launch of the BD® Pyxis Pro dispensing solution and the BD® Incada connected care platform. This next-generation medication dispensing system combines advanced automation and artificial intelligence to modernize medication management, reduce disruptions, and improve efficiency, enabling healthcare professionals to spend more time on patient care.

Fast and reliable access to medications at the point of care is essential for effective healthcare, and BD is committed to providing secure and traceable storage as close to the patient as possible. The flexible, stackable configuration of the Pyxis Pro dispenser offers increased medication storage capacity in a similar footprint, improving availability from refrigerated to ambient temperature storage. This allows hospitals and healthcare systems to easily adapt to their patients’ evolving needs. Furthermore, it offers enhanced security features to optimize controlled substance management and more efficient access, with RFID card scanning, wireless barcode scanners, and illuminated trays for easy medication retrieval.

Following its established use in the United States, BD will also extend its AI-powered BD Incada Analytics platform to European hospitals and healthcare systems next year.

Also Read: RQM+ Launches SMART Solutions Life Cycle Partnership Model

Built on Amazon Web Services’ (AWS) on-demand cloud computing infrastructure, the BD Incada platform utilizes the latest AI technologies, such as natural language search for data analysis, and is scalable to handle the volume of data generated by nearly three million smart, connected BD devices. With BD Incada Analytics, healthcare professionals gain access to a comprehensive view of their medication inventory and customizable dashboards, helping them identify patterns, ensure medication availability, reduce waste, and improve work efficiency.

In the European market, BD will leverage AWS’s sovereign European cloud to enable EU healthcare systems to meet their digital sovereignty needs, without compromising the performance, innovation, security, or scalability of the AWS cloud and BD solutions.

“BD’s innovations in medication management are setting a new standard for unified, data-driven healthcare operations,” said Esteban Rossi, Vice President and General Manager of Medication Management Solutions for EMEA at BD. “By offering the BD® Pyxis Pro dispensing solution and the BD® Incada platform directly to European hospitals, our customers can strengthen medication availability, improve efficiency, and optimize patient care.”

Source: PRNewswire

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SMART Solutions introduces a strategy-led operating framework that unifies regulatory, quality, clinical, reimbursement, and laboratory expertise to support MedTech companies across the entire product life cycle to help reduce risk from early development through post-market.

“MedTech companies are navigating unprecedented complexity as regulatory expectations evolve, product innovation accelerates, and post-market expectations are expanding,” said John Potthoff, Ph.D., chief executive officer of RQM+. “SMART Solutions moves beyond traditional consulting by providing an integrated life cycle partnership that helps sponsors gain earlier clarity, reduce risk, and execute complex programs more predictably. This solution makes RQM+ one of the few MedTech CROs that can truly integrate device, software, lab, and regulatory strategy end to end.”

Also Read: Tri-Imaging Solutions and DirectMed Imaging Form Scaled Platform 

SMART Solutions addresses these challenges by replacing fragmented vendor-by-vendor workstreams with a coordinated life cycle model delivered through engagement options:

• Integrated SMART Solutions for small to midsize enterprises: Governed life cycle partnership integrating regulatory, clinical, quality, reimbursement, and lab services
• Functional SMART Solutions for larger enterprises: Targeted functional support within the framework

The model is designed for complex device programs and high-growth therapeutic areas, such as cardiovascular and neurology, as well as advanced product categories, including implantable devices, combination products, software-enabled technologies, and IVD companion diagnostics.

The framework also leverages RQM+’s growing clinical and laboratory capabilities, including Jordi Labs, an RQM+ company specializing in analytical chemistry and extractables and leachables testing, as well as AI-enabled technology platforms that are supported by proprietary analytical data.

By integrating regulatory strategy, clinical development, and lab science within a single operating model, RQM+ helps device and diagnostics companies accelerate development timelines, while improving life cycle governance and scalability.

Source: BusinessWire

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“The collaboration will integrate Thermo Fisher’s strong capabilities in lab informatics and scientific instruments with NVIDIA’s comprehensive AI compute infrastructure. Through the use of NVIDIA’s AI platform that comprises NVIDIA DGX Spark, NVIDIA NeMo, and NVIDIA BioNeMo, the collaboration is set to transform labs with AI-powered automation solutions and enable researchers to focus on innovation.”

Most of the procedures undertaken in research and clinical labs today experiment setup, the operation of instruments, sample preparation, and data interpretation are manual and time-consuming. This collaboration endeavors to change all that by embedding intelligent systems that link instruments and data analytics into robust AI models, streamlining workflows, and making high-performance laboratories a reality.

Thermo Fisher will integrate its scientific instruments and informatics solutions offered in the laboratory setting into the world of AI provided through the NVIDIA ecosystem. This will help create easier-to-use lab systems. Additionally, the systems will help laboratories capitalize on real-time insights derived from data.

Also Read: Tri-Imaging Solutions and DirectMed Imaging Form Scaled Platform

Commenting on the collaboration, Thermo Fisher Scientific leadership said: “Artificial intelligence coupled with laboratory automation will transform how scientific work is performed,” said Gianluca Pettiti, Executive Vice President. “By combining Thermo Fisher’s leadership in laboratory technologies with NVIDIA’s digital and AI solutions, we can help customers work faster, improve accuracy and get more value out of each experiment, ultimately accelerating discoveries that can have significant human impact.”

From the NVIDIA perspective: “We are entering the era of ‘lab-in-the-loop’ science where the trinity of AI, agents and instruments will be able to scale scientific discovery at industrial pace,” said Kimberly Powell, Vice President of Healthcare at NVIDIA. “Working with Thermo Fisher, we are building the fundamental infrastructure of autonomous labs, creating a powerful research and discovery flywheel accelerating the pace of life sciences breakthroughs.”

This strategic move further strengthens Thermo Fisher’s position as a leader in the offering of cutting-edge scientific tools and solutions by integrating AI functionality within the lab setting. The two companies look forward to a future where this partnership will facilitate a smoother interaction between scientists, instruments, and data systems, hence a massive boost to productivity and the pace of innovation within the life sciences space among others.

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This merger creates a massive, single-source provider for MRI, CT, and X-ray modalities, integrating a global supply chain with specialized technical training.

The “Service-First” Rebrand Strategy

While DirectMed was the larger global entity, the decision to move forward under the Tri-Imaging name highlights a shift in 2026 healthcare procurement. Hospitals are moving away from simple “parts flippers” and toward partners that offer Training + Analytics + Parts. By adopting the Tri-Imaging brand, the new organization signals a focus on the “human element” of imaging uptime.

Key Leadership: The new organization will be led by Tri-Imaging’s current executive team, with Eric Wright stepping in as CEO of the combined global platform.

Also Read: Hedia Appoints Rasmus Kofoed as new CEO 

Strategic Advantages for Healthcare Networks

The merger addresses three critical pain points in 2026 diagnostic imaging:

• Global Inventory, Local Training: Combining DirectMed’s 100,000+ parts inventory with Tri-Imaging’s Nashville-based “Imaging Engineer” training programs.

• Lowering TCO: By merging LBN Medical (Denmark) and ScanMed (Omaha) into the platform, the new Tri-Imaging can offer refurbished systems and coil repair at a fraction of OEM costs.

• Predictive Analytics: Leveraging Tri-Imaging’s data tools to maximize system uptime before failures occur.

“Bringing our teams together under the Tri-Imaging name strengthens our ability to globally support customers with the parts, service, and training they need across imaging modalities,” said Eric Wright, CEO.

The 2026 Aftermarket Outlook

For healthcare decision-makers, this merger is a clear sign that the aftermarket is no longer “second-tier.” With the support of Frazier Healthcare Partners, Tri-Imaging is now positioned as a legitimate global competitor to GE HealthCare and Siemens Healthineers, specifically for hospitals looking to extend the life of aging 1.5T MRI and 64-slice CT fleets in a budget-conscious environment.

Source: Businesswire

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Hedia develops digital solutions that help people with insulin-dependent diabetes better understand and manage their treatment using data, artificial intelligence, and intuitive app technology. Founded in 2016, the company has established itself as a leading European player in digital diabetes management and digital therapeutics.

Carl Bilbo, Chairman of the Board of Directors of Hedia, commented: “Under Lars Christian Lund’s leadership, Hedia has evolved from an ambitious startup to a professionally scalable company with a strong regulatory and commercial track record. Lars has played a pivotal role in strengthening the organization, achieving MDR approval, and laying the foundation for global growth. On behalf of the Board of Directors, I would like to thank him for his outstanding contribution and dedication. We are equally pleased to welcome Rasmus Kofoed as our new CEO. Rasmus brings a strong strategic and commercial background with proven experience in life sciences and medical technology. He is the ideal person to lead Hedia into the next phase.”

Also Read: Paradromics Gets FDA Nod for Connect-One Clinical Study 

Rasmus Kofoed brings a strong track record in the life sciences and medical technology sectors. He has held senior management positions at Novo Nordisk, Abbott, Roche, and Medtronic, and was CEO of ChemoMetec, with overall commercial and strategic responsibility, including growth, transformation, and international expansion. With this solid commercial experience, he will assume the role of CEO on December 1, 2025, with the ambition of further strengthening Hedia’s product and market platform and expanding the company’s international partnerships.

“I see enormous potential in Hedia,” Rasmus Kofoed stated.

“The company combines clinical expertise with technology in a way that creates real value for people with diabetes. I look forward to working with the team to expand our reach, strengthen our partnerships, and continue on the path to making Hedia a leading player in digital diabetes care.”

Source: PRNewswire

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Also Read: eG Innovations Introduces Universal Synthetic Monitoring Technology 

The platform optimizes processing between client and server to support large datasets such as digital breast tomosynthesis and cardiac CT, maintains seamless image interpretation across sites, and integrates AI tools to consolidate all relevant patient information in one workspace. “Health systems are under intense pressure to do more with less. The web diagnostic viewer is a milestone in our journey toward cloud-enabled, AI-integrated diagnostic imaging. It brings the power of advanced visualization, collaboration, and intelligence to any browser, helping radiologists stay connected and productive wherever care happens while streamlining IT operations,” said Madhuri Sebastian, Business Leader Imaging Informatics at Philips.

Read More: Philips launches web-based diagnostic viewer for fast, secure imaging data access anywhere

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