Dinesh Kashyap

CEO

Dinesh is a distinguished visionary leader with more than 20 years of experience in the IT industry. He has an impressive track record in strategy and management consulting, business & IT transformation, innovative digital platform implementations, building practice and capabilities in new niche markets. Prior to founding Cloudbyz, Dinesh was with HCL where he led a multi-million dollar business. You can find Dinesh on LinkedIn.

Saving Time and Improving Quality: Medical Coding Automation in Pharmacovigilance

pharmacovigilance medical coding automation is a promising and rapidly evolving field that has the potential to revolutionize the way pharmacovigilance professionals monitor and assess medication safety. By leveraging the power of AI and machine learning, pharmacovigilance organizations can streamline the medical coding process, improve the accuracy and consistency of ADR reporting, and gain new insights into medication safety trends and risks.

Unlocking Efficiency in Clinical Trials: How AI is Revolutionizing Data Management

Cloudbyz’s ClinExtract AI solution represents a game-changer in the field of clinical research, offering a streamlined and efficient approach to data management. By harnessing the power of AI, researchers can overcome the challenges associated with manual data entry, unlock significant time and cost savings, and accelerate the pace of clinical trials.

Optimizing Clinical Document Management: The Power of AI with ClinicalWave ClinRedact

the digitization of healthcare records presents both opportunities and challenges, particularly regarding the handling of sensitive patient information. ClinicalWave ClinRedact emerges as a pivotal solution in navigating these complexities by offering an AI-based redaction system designed to streamline workflows while ensuring compliance with privacy regulations.

Enhancing Electronic Trial Master File (eTMF) Quality Oversight with a Risk-Based Approach

By adopting a risk-based approach to eTMF oversight and implementing best practices outlined in this blog post, organizations can enhance efficiency, reduce risk, and achieve greater confidence in the integrity of their clinical trial data. Investing in robust eTMF quality oversight not only strengthens regulatory compliance but also contributes to overall trial success and patient well-being

Beyond the Pill: The Rise of Biologics and the Evolution of Pharmaceutical Therapies

The rise of biologics represents a transformative shift in the landscape of pharmaceutical therapies, offering new hope for patients with complex and previously untreatable conditions. By addressing challenges related to access, sustainability, and emerging trends, we can harness the full potential of biologic therapies to improve global health outcomes and advance the frontiers of medical science. Through collaboration, innovation, and a commitment to equity and sustainability, we can build a future where biologic therapies are accessible, affordable, and sustainable for all.

The New Frontier in Drug Development: Understanding Biologics and Small Molecules

The journey through the landscapes of biologics and small molecules uncovers the intricate ballet of science, technology, and strategy that drives pharmaceutical innovation. As we have explored, each category of drug development carries its own unique set of challenges, from the complexity of manufacturing biologics with their larger, more complex structures and high specificity, to the design and optimization of small molecules that can effectively target intracellular pathways.

Navigating Legacy and Disconnected Systems: Challenges in Medical Device Clinical Trial Operations

Legacy and disconnected systems pose significant challenges in medical device clinical trial operations. Overcoming these challenges requires a strategic approach, involving the adoption of modern data management systems, regulatory compliance, stakeholder collaboration, and diligent data monitoring. By addressing these issues head-on, clinical trial professionals can ensure the successful execution of trials, accelerate time-to-market, and ultimately bring safe and effective medical devices to patients in need.

The Crucial Need for Unified Clinical Trial Management Solutions in Medical Technology Companies

Medical technology companies operating in the modern healthcare landscape cannot afford to overlook the importance of unified clinical trial management solutions. These solutions offer streamlined data management, enhanced collaboration, improved regulatory compliance, real-time monitoring, and cost and time efficiency. By implementing a unified clinical trial management solution, companies can increase their chances of successfully bringing innovative medical devices to market, benefiting patients and advancing healthcare worldwide.

Streamlining Clinical Trials: Common Workflow Automations in Electronic Trial Master File (eTMF) Systems

Electronic Trial Master File (eTMF) systems with workflow automations are indispensable tools for efficiently managing the complex documentation associated with clinical trials. These systems not only streamline processes but also enhance compliance, transparency, and collaboration among trial stakeholders. As the healthcare and pharmaceutical industries continue to evolve, eTMF systems with workflow automations play a crucial role in expediting the development and delivery of new treatments to patients while maintaining the highest standards of quality and compliance.

25 Reasons Why Pharmaceutical Companies Need a Unified Clinical Trial Management Platform

A unified clinical trial management platform is no longer a luxury but a necessity for pharmaceutical companies aiming to thrive in an increasingly competitive and regulated industry. It provides the tools and capabilities needed to streamline operations, reduce costs, enhance data quality, and accelerate the drug development process. By adopting such a platform, pharmaceutical companies can not only improve their efficiency but also contribute to the timely delivery of life-saving medications to patients worldwide.

Transforming Clinical Study Build with AI: Automating Data Extraction from Protocol Documents in Cloudbyz EDC

Generative AI has the potential to revolutionize the clinical study build process by automating data extraction from protocol documents. With its ability to process natural language and understand contextual nuances, it offers unparalleled speed, accuracy, and efficiency. Cloudbyz EDC, when integrated with generative AI, can enable researchers and organizations to accelerate their clinical trials, reduce costs, and improve data quality. As the field of clinical research continues to advance, embracing generative AI will be key to staying competitive and compliant in an increasingly complex regulatory landscape.

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At Cloudbyz, our mission is to empower our clients to achieve their business goals by delivering innovative, scalable, and intuitive cloud-based solutions that enable them to streamline their operations, maximize efficiency, and drive growth. We strive to be a trusted partner, dedicated to providing exceptional service, exceptional products, and unparalleled support, while fostering a culture of innovation, collaboration, and excellence in everything we do.

 

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