Categories
Case Study

ClinFlows’ secure medical image exchange is powered by OVHcloud’s IT infrastructure

  • Secure and sovereign hosting of clinical data in Europe in accordance with GDPR
  • High data availability thanks to dedicated servers, snapshots and backups at OVHcloud
  • In use in 100+ countries: reliable IT infrastructure for the global exchange of healthcare data in clinical projects through the decidemedical platform

ClinFlows’ decidemedical platform benefits from OVHcloud’s powerful IT infrastructure, including stable dedicated servers, secure vRack network and scalable object storage.

ClinFlows is a German company focusing on the secure exchange of medical images and clinical data. Clinical knowledge meets IT expertise: Our team of experts has developed a successful software solution for the efficient, data protection-compliant transfer and analysis of clinical data, particularly for international clinical studies. With products such as decidemedical, we support customers from pharmaceutical and medical device industries as well as academic institutions in clinical projects in over 100 countries worldwide. This enables global access to medical expertise, for example to determine the appropriate size of an implant or to assess the feasibility of a surgical procedure.

The increasing complexity of studies, rapid data growth and stricter compliance requirements make a stable, scalable and European cloud infrastructure essential. That’s why ClinFlows has been working with OVHcloud for 15 years – with dedicated servers, a secure network (vRack) and Object Storage at the heart of the cloud infrastructure.

ClinFlows' team of experts has developed a successful software solution for the efficient, data protection-compliant transfer and analysis of clinical data

Challenge

Clinical trials and clinical decision-making processes generate large amounts of sensitive data – including high-resolution DICOM images from fields such as cardiology and oncology. This data must be securely shared, reviewed and stored long-term between clinics, research institutes and manufacturers.

Clinical trials and medical decision-making processes generate large amounts of sensitive data

As an ISO9001 and ISO27001-certified company, ClinFlows puts data protection and European data sovereignty first. The medical imaging data is processed pseudonymously, and hosting takes place exclusively in Europe. An additional challenge is the need for high availability and replication, as well as easy scalability for areas of future growth such as artificial intelligence in image processing.

Solution

ClinFlows’ decidemedical platform operates on a hybrid cloud architecture at OVHcloud. It is based on high-performance dedicated servers, supplemented by Object Storage, VM instances, load balancers and Managed Kubernetes clusters for internal tools. For a particularly secure communication between services, ClinFlows relies on OVHcloud’s internal network vRack, which enables isolated networks without public IPs. Over the next few months, the company will move many workloads from dedicated servers to the Object Storage in the OVHcloud Public Cloud.

Our entire infrastructure benefits from the flexibility of the OVHcloud environment. With Object Storage, we significantly reduce maintenance costs. At the same time, everything remains in Europe which is essential for our customers and ClinFlows’ vision.

Jean François Burr, CTO at ClinFlows

The backups of large medical data sets (around 50 TB) and snapshots are automated and securely stored. We use the transparency of the OVHcloud cost structure to ensure maximum planning security, even for major customers.

Overview of ClinFlows’ cloud infrastructure with decidemedical at OVHcloud:

Overview of ClinFlows' cloud infrastructure with decidemedical at OVHcloud

Result

With OVHcloud’s infrastructure, ClinFlows is able to provide the following services:

  • Privacy-compliant storage and processing of clinical data through hosting data at a European provider
  • Efficient support for international clinical trials in over 100 countries
  • Reduced maintenance costs by gradually switching to Object Storage and Public Cloud instances
  • Increased scalability and reliability through snapshots, vRack and dedicated hardware
  • Significant increase in our productivity

“We have been a satisfied customer of OVHcloud for around 15 years. Our platform is stable, our global customers are satisfied – and we are proud to continue this journey together with OVHcloud.”

Uwe Gladbach, CEO at ClinFlows

Future Outlook

We plan to expand our services to new therapeutic areas and link clinics directly to AI-based image analysis tools through ClinFlows’ decidemedical platform.

Find out more about ClinFlows and our solutions at www.clinflows.com.


Categories
DICOM

Benefits and Challenges of AI-powered Medical Image Analysis

In our previous blog post, we explored six pivotal medical imaging trends shaping the future of healthcare. Today, we dive deeper into one of the most game-changing developments – AI-powered medical image analysis. 

The Transformation of Medical Imaging through AI

Over the past decades, medical imaging has undergone remarkable advancements. Now, artificial intelligence (AI) is taking it to an entirely new level. Imagine a world where early disease detection is faster and more accurate, where real-time clinical decisions can be made seamlessly, and clinical trials are more effective than ever before. With AI-driven medical imaging solutions, this future is not just a dream; it is becoming a reality.

While the benefits are clear, the road to widespread AI adoption is not without hurdles. Questions around data quality, interpretability, regulatory compliance and workflow integration remain major challenges. 

How can AI support clinical decision-making or clinical research without compromising patient safety? How can ClinFlows help integrate AI into existing imaging processes?   

Let’s take a closer look at the opportunities and challenges of AI-powered medical image analysis.

Benefits of AI in Medical Imaging

The integration of AI into medical image analysis provides numerous advantages: 

  • Consistency and Objectivity: AI algorithms can enhance image quality, reconstruct high-resolution images and integrate multiple imaging modalities. Standardization minimizes subjectivity in image assessments, delivering reproducible clinical data analyses. 
  • Speed and Cost Effectiveness: AI can perform repetitive tasks, such as image processing, significantly faster than traditional methods. This saves both time and costs, enabling real-time decision-making in clinical settings and accelerating patient-eligibility checks in clinical trials. 
  • Personalized Medicine: By merging imaging data with patient history and genetic profiles, AI empowers healthcare professionals to tailor treatment plans. This paves the way for more personalized and effective healthcare solutions.  

Challenges of AI in medical imaging 

Despite its promising potential, AI in medical imaging faces several challenges:

  • Bias in training data: According to Armato et al (2023), AI models are only as reliable as the datasets they learn from and not all imaging data is suitable for AI analysis. Insufficiently diverse or high-quality data can introduce biases that result in misdiagnosis, incorrect treatment plans or unreliable trial outcomes.  
  • Interpretability: Clinicians may find it difficult to put full trust in AI findings due to a lack of transparency in how these tools arrive at conclusions. Without clear explanations and human review mechanisms, validating AI outputs becomes a significant hurdle.
  • Regulatory Compliance: Particularly in Europe, strict regulations for data governance exist such as GDPR and the EU AI Act. AI developers must adopt robust validation processes and mitigation strategies, to safeguard patient data against risks like cyberattacks and data breaches. 
  • Workflow integration: Incorporating AI-powered imaging tools into existing clinical workflows can be challenging. Concerns over job displacement for radiologists, medical staff and central readers persist, and the technical integration of multi-component systems requires careful planning and execution

Conclusion: Embracing AI for a Smarter Future in Medical Image Analysis  

AI-driven image analysis is revolutionizing healthcare, offering enhanced speed, accuracy and efficiency in clinical workflows and trials. From faster diagnosis to precise treatment planning, AI streamlines clinical processes, minimizes human errors and enhances real-time decision-making.  

However, to fully unlock AI’s potential, the industry must address critical challenges such as data bias, regulatory compliance, and clinical integration. 

At ClinFlows, we bridge the gap between AI technology, researchers and healthcare professionals. Our secure, regulatory-compliant decidemedical platform serves as a HUB, enabling the seamless transfer, preview and quality control of medical images from dispatched clinical sites to AI-powered analysis tools. Through our integrated, web-based smart uploader, specific imaging datasets can be selected, anonymized and sent for image analysis uniquely tailored to certain pathologies and imaging modalities. In our understanding, ensuring the right AI tool meets the right data is key to unlocking AI’s full potential. 

By embracing new technologies, responsible innovation, collaboration and continuous refinement of AI applications, we can create a future where AI enhances—not replaces—human expertise, leading to better patient outcomes and groundbreaking medical advancements. 

Want to explore more medical imaging trends? Stay tuned for our next blog post. 

Categories
DICOM Non classé

Medical Imaging: Six Trends Shaping the Future of Healthcare

Medical imaging is transforming, pushing the boundaries of healthcare with technological innovations at its core. Advancements in AI-driven imaging, hybrid imaging, and functional or molecular imaging, to name just a few, are redefining diagnostics, personalized medicine and patient care.

At ClinFlows, we actively facilitate the exchange of medical images and clinical data through our software solutions and closely follow new developments in medical imaging technologies. How do these advancements impact healthcare providers, researchers, and the industry? Below we present six key trends of medical imaging technologies, focusing on real-world applications and their transformative potential. 

Trend 1

Smarter Image Analysis through AI and Machine Learning

Nowadays, healthcare providers and life science companies make increasingly use of Artificial intelligence (AI) and machine learning (ML). Among others, AI-powered tools can automate the processing and analysis of medical images. Often, they reveal patterns that otherwise be overlooked – a clear win for diagnostics, patient-specific product design, clinical decision-making, and monitoring of the disease’s progression.

One possible application is Transcatheter Aortic Valve Replacement (TAVR). In this example, AI-based software solutions automatically segment medical scans (CTs or MRIs). They provide 3D or 4D visualizations and precise anatomical measurements of the heart supporting the work of healthcare professionals.

Trend 2

Clinical Cloud Integration and Digital Transformation

Digital transformation and integration of cloud technology into clinical projects are growing. They facilitate seamless data exchange, enable remote clinical decision-making and collaboration between healthcare professionals, researchers, and industry. 

Centralized access to imaging data is available via cloud-based platforms like decidemedical. It allows medical experts to review patient cases for clinical trials or daily medical care at any time and from anywhere. For instance, if a doctor needs to know the patient’s eligibility, or determine a certain implant size for pre-operative planning, he can send medical images online to another expert. The expert then quickly provides a second opinion on the patient’s case.

Trend 3

Personalized Medicine enhanced by Molecular Imaging and Theranostics

Molecular imaging provides real-time insights into cellular activity, allowing early and precise disease detection and the development of personalized treatments. The field continues to develop strongly through technological advances. These include higher sensitivity of PET/CT scanners and radiopharmaceuticals that combine diagnostics with targeted therapy. 

A leading example of theranostic or theragnostic treatment is Lutetium-177 PSMA Therapy for prostate cancer. It integrates PSMA (Prostate-Specific Membrane Antigen) PET imaging with radioligand therapy (RLT). This method delivers radiation directly to cancerous cells and reduces harm to healthy tissues. It maximizes treatment efficacy. This demonstrates how molecular imaging and theranostics are shaping better patient outcomes. 

Trend 4

Functional Imaging Enabling Structural Analysis

Medical imaging is no longer just about anatomy – it’s about physiology. Functional or physiological imaging enables clinicians to analyze organ activity, blood flow and cell metabolism, leading to valuable insights for research and clinical practice.  

Take Fluorodeoxyglucose (FDG) or Fibroblast activation protein inhibitor (FAPI) PET/CT scans as examples. In oncology, both cutting-edge techniques allow more informed treatment decision-making. FDG accumulation in metabolically active tumor cells or FAP expression in cancer-associated fibroblasts allow tumor visualization, metastasis detection, and treatment response monitoring in conditions like lymphoma, lung and breast cancer to mention a few. 

Trend 5

Hybrid Imaging for Greater Precision 

Why settle for one imaging technique when you can have two? Hybrid imaging merges scans from multiple modalities into a single comprehensive view.  

One well-known method is PET/MRI. It combines PET’s metabolic and molecular insights with MRI’s detailed soft-tissue contrast. In neurodegenerative diseases like Alzheimer’s, this technology is proving invaluable. It helps to detect amyloid plaques, assess brain atrophy, and evaluate treatment efficacy. 

Trend 6

Intelligent Assistance for Surgery via Image-Guided Robotics

Image-guided navigation is revolutionizing modern surgery. Clinicians use pre- and intraoperative imaging with robotic instruments. This combination allows them to perform surgical procedures with greater accuracy leading to better results.  

Let’s take iMRI-guided neurosurgery for the resection of brain tumors as an example. Before surgery, the patient’s brain is scanned using MRI to create a 3D map. This map is transferred to the robotic system and used during surgery in combination with intraoperative MRI imaging to track tumor removal and adjust the surgical approach if necessary. 

Conclusion

Imaging the Future of Healthcare 

The rapid evolution of medical imaging technologies is improving diagnostics, treatment planning, and personalized medicine. But more importantly, it is revolutionizing patient care. Unlocking their full potential enables earlier disease detection, more targeted therapies, and true precision medicine.   

However, associated challenges like costs, patient risks, accessibility, and regulatory compliance must also be addressed.

At ClinFlows, we are at the forefront of medical image exchange. We ensure that medical data reaches the right experts – taking regulatory requirements for information security and privacy into account. By leveraging cloud integration and customized imaging workflows, we help to bridge the gap between technology and real-world clinical applications.   

Are you curious about what’s next?   

Stay tuned for the second part of our blog post. We will dive into challenges and opportunities of the above trends and explore how they will shape the future of modern medicine. 

Categories
clinical decision support DICOM Products

Medical Devices vs. Drugs: ClinFlows is your provider for medical image exchange in clinical trials

The clinical trial landscape for new medicines and medical devices continually expands. Working with a software provider that has extensive experience in this area is becoming increasingly important for sponsors and clinical research organizations (CROs).  Although similar goals are shared, there are inherent differences between clinical trials for the two product types.

Regulatory requirements, clinical study designs, and the on-site team composition reflect this disparity, making drug trials typically longer and more complex than device trials. In this blog post, we’ll explore the key distinctions and show you how ClinFlows can support you along the way by simplifying complex study workflows, especially concerning medical imaging and data exchange.

Medical Devices vs. Drugs - Clinflows

Navigating the Regulatory Maze

Pharmaceuticals: A Rigorous Approval Process

In the United States, market approval for medicines is regulated by the Center for Drug Evaluation and Research (CDER) of the Food and Drug Administration (FDA). After extensive clinical studies, manufacturers submit a New Drug Application (NDA) or Biologics License Application (BLA). This process ensures that new medicines are safe and effective for public use.

In Europe, the responsible regulatory authority is the European Medicines Agency (EMA). In collaboration with National Competent Authorities (NCAs) drugs are approved centrally or through national regulatory routes, depending on the market entry strategy chosen by the manufacturer.

Despite both regions demanding rigorous testing and post-market monitoring, the structure and execution of these regulations differ, impacting timelines and complexity.

Medical Devices: Risk classification is key

For manufacturers of medical devices, it is a different situation. Here, the regulatory focus shifts to a detailed examination of engineering, mechanical function, and the device’s performance (efficiency) in the body.

Unlike pharmaceuticals, medical devices are categorized by risk classes:

  • Low- to Moderate-Risk Devices: Class I/II in the USA and Class I/IIa in Europe. Comparable data are often available for these devices, potentially bypassing the need for clinical investigations.
  • High-Risk Devices: Class III devices, in the USA, and Class IIb/III devices, in Europe, require more extensive scrutiny.

In the United States, the FDA’s Center for Devices and Radiological Health (CDRH) manages market authorizations of high-risk devices through a Premarket Approval (PMA). For low-risk devices, the 510(k) process is utilized.

In Europe, the Medical Device Regulation (MDR 2017/745) mandates clinical investigations for all Class IIb/III devices with Notified Bodies assessing data for CE marking.

Clinical Trials: Different Paths to Market

Pharmaceuticals: Standard Progression through Phase 1-3

Clinical drug trials are highly structured and typically follow these phases:

  1. Phase I: Evaluates safety and dosage in a small group of healthy volunteers.
  2. Phase II: Explores efficacy and side effects in a larger patient group with the target condition.
  3. Phase III: Confirms effectiveness, monitors side effects, and compares the drug to commonly used treatments in large populations.

Drug development can often take up to 10+ years, with a few exceptions, such as specific fast-track or orphan drug designations. The long timelines are mainly caused by the extensive clinical testing required and the fact that manufacturers cannot speed up the process by risk classification and clinical equivalent data of existing therapies.

Medical Devices: A More Flexible Approach

  • Pilot Studies: Evaluate safety and functionality in a small group of patients
  • Pivotal Studies: Confirm safety and efficiency in a larger patient population, akin to Phase III in pharmaceuticals.

Bringing a medical device from concept to approval takes approximately 3 to 7 years.

Phase IV: Ongoing Surveillance for Both

Phase IV refers to post-market surveillance studies to continuously monitor the product’s safety and efficacy or performance in the general population. Both pharmaceuticals and medical devices engage in this crucial phase to ensure long-term patient protection.

The Stakeholders on-site: Who’s Involved?

Behind every successful clinical trial is a dedicated team of professionals on-site:

  • Investigators: In pharmaceutical trials, investigators are usually physicians with extensive expertise in a specific therapeutic area. In medical device trials, investigators can also be surgeons, specialized clinicians, or technical experts.
  • Clinical Research Coordinators and Study Nurses: Manage daily study operations, patient coordination, and data collection.
  • Technical Staff: Certain clinical investigations require medical imaging staff on site for DICOM data collection and image-based patient eligibility checks. Additionally, device trials, often involve highly trained technicians and programmers to set up, maintain, and calibrate devices. In drug trials, there is no need for this technical expertise.

Understanding the different team compositions and tasks on-site in drug and medical device trials can enhance collaboration between sponsors, CROs, and software providers and help to efficiently manage your clinical workflows.

How ClinFlows Can Simplify Your Clinical Study?

When it comes to medical imaging, ClinFlows is your trusted partner.

In early-phase trials, patient data and medical images (DICOMs) need to be reviewed to determine eligibility.  We provide you with the necessary tools to quickly and safely exchange this information with other stakeholders, for second opinions and/or screening reviews. You can ensure that the right patients participate in the trial while saving great time and travel expenses.

Do your projects involve central imaging reads? Then quality checks of images, timely communication, and data handling between different electronic systems can sometimes be a challenge. With almost 15 years of experience, we know about the particularities of medical image exchange in clinical drug and medical device trials. We can tailor our online solutions to your specific needs, making complex workflows easily manageable.

Ready to optimize your clinical trials? Contact ClinFlows today to discover how we can assist with medical imaging and data exchange.