Empowering Healthcare Organizations: Driving Innovation in Clinical Trials, Registries and Post-Market Surveillance
Partnering with Medical Device Companies for Data-Driven Success
At Akunah, we empower medical device companies to lead the way in post-market surveillance and clinical research. Our platform simplifies the collection, analysis, and reporting of essential data, enabling sponsors to meet regulatory compliance while supporting evidence-based decision-making. By facilitating registries and clinical trials, Akunah helps organizations demonstrate product effectiveness, improve patient safety, and build a foundation for continuous innovation.
Customer Spotlight: Austofix, Inovedis, and Tetrous
We are honoured to work with trailblazing medical device companies such as Austofix, Inovedis, and Tetrous. These organisations are leveraging Akunah's capabilities to streamline their clinical trial workflows, enhance post-market surveillance, and maintain comprehensive product registries. By fostering collaboration between sponsors and clinicians, Akunah is driving a future where data is seamlessly integrated into research and development processes.
Highlighting INSIGHT
INSIGHT, Akunah’s advanced AI analytics tool, is redefining data management for clinical trials and post-market surveillance. With powerful features like real-time analytics, trend identification, and actionable insights, INSIGHT empowers sponsors and clinicians to make informed, data-driven decisions.
Imagine having the ability to:
Conduct multi-centre trials with ease by unifying data across various sites.
Analyse and export de-identified data for regulatory reporting and product evaluations.
Build robust product registries to monitor outcomes over time and ensure compliance.
Take control of your clinical and registry data today. Request a Demo to see INSIGHT in action!
Research Corner: Advancing Diagnostics with AI
We’re proud to spotlight a groundbreaking study: "Trustworthy Deep Learning Framework for the Detection of Abnormalities in X-ray Shoulder Images."
This research represents a significant step forward in the use of AI for medical imaging. By applying a deep learning framework, the study demonstrates how AI can enhance diagnostic accuracy and reliability, particularly in detecting abnormalities in X-ray shoulder images. These advancements underscore the transformative potential of AI in improving patient outcomes and supporting clinicians.
Congratulations to Laith Alzubaidi and the additional authors for their contributions to this critical field of research.
Looking Ahead with Akunah
Our commitment to supporting clinical trials, registries, and post-market surveillance is stronger than ever. Through our partnerships and cutting-edge tools, we are enabling healthcare organisations to harness data for better outcomes and innovative care models.
Stay at the forefront of healthcare transformation.
Disclosure: Product availability is subject to the individual regulatory requirements of each market. Please contact us for questions regarding availability in your market.