We serve small and medium pharma and biotech companies and CROs, providing them top-notch clinical data management services. We provide an accurate and complete collection of clinical data, maintain the highest data quality and integrity, offer top-level security and protection from any data loss, and provide clean datasets to facilitate statistical analysis and reporting.
With our expertise in AI, GenAI, Cloud, and Data Automation, we help to cut down clinical trial cycle time without being concerned about interpretation errors, data fragmentation, and security breaches. Our clinical trial data services help to achieve this, even if one has limited bandwidth and no or little prior experience in implementing high-tech.
The drug discovery process is often error-prone, time-consuming, and expensive, due to which pharma companies face many challenges. The process relies a lot on manual experimentation at every phase. This dependence on manual processes often leads to outcomes that are not optimal.
Clinical trials generate huge data, which is likely to be scattered across various databases and encoded by various terminologies. This often interrupts collaboration, hides valuable insights, and halts medical progress. We leverage AI for analyzing this data to identify potential drug candidates, predict their safety and efficacy, and optimize the process of drug development, lowering costs and time.
Pharma companies face some major hurdles in conducting clinical trials, which arise from ineffective site selection, patient recruitment, and trial design. Scattered data coupled with manual processes heighten costs, delays, and lead to less-than-optimal results.
Using our data analytics capabilities and AI algorithms, our team analyzes patient data, EHRs, and other trial data to optimize site selection, patient recruitment, and trial design. This leads to reduced costs and enhanced trial efficiency.
It’s important to prioritize the quality and safety of pharma products across the supply chain. The pharma supply chain encounters several challenges including lack of transparency, quality control problems, logistical inefficiency, regulatory compliance issues, counterfeit drugs, and inventory shortage. These problems result in revenue leakage and delays.
Using our graph database expertise, we analyze your supply chain data, improving your manufacturing processes, distribution logistics, demand prediction, and inventory management. Moreover, our expertise in DSCSA compliance helps to improve your supply chain management by ensuring regulatory compliance, traceability, and data integrity.
There are many regulatory compliance issues faced by small and medium pharmaceutical companies. These include adapting to changing regulatory guidelines, maintaining data integrity, and lack of resources for compliance maintenance. These problems often lead to considerable operational challenges.
We use AI-powered analytics to ensure compliance to regulations by analyzing and monitoring data related to GCP, GMP, and other regulations. We have also developed an AI-powered SOP adherence software to educate employees on the procedures and protocols of clinical trials. This tool aims to strengthen compliance, and in turn, prevent expensive clinical trial mistakes.
Clinical data management service providers like us, seamlessly integrate public, wearable devices, and real-world data to create dynamic data lakes, which facilitate valuable insights. The integration of real-world data (RWD) with traditional clinical trial data improves assessments of treatment efficacy by offering insights into different patient responses, enhancing understanding of demographics, as well as ensuring more applicable and representative findings. Our customized clinical trial data management services, involving our AI, analytics, and data engineering capabilities, allow us to transform raw data into actionable insights. Moreover, we adhere to the ICH GCP guideline, which aims to offer a unified standard to enable mutual acceptance of trial data for ICH member regions and countries by corresponding regulatory bodies.
Using ML algorithms and analytics, our clinical trial services improve clinical trial design by optimizing protocol parameters, predicting patient outcomes, and finding suitable sites and patient cohorts. We make your trials more efficient, lower costs, and accelerate the time-to-market for life-saving treatments. We seamlessly integrate disparate sources of data using advanced data engineering techniques. Using AI solutions and pharmaceutical data management solutions, we also automate data cleaning, identify anomalies in trial data, and apply predictive analytics to forecast potential issues and risks in trials.
Our clinical biometric services help you unveil valuable insights concealed within your data and design robust and efficient clinical studies. We offer a wide range of clinical biometric services including, but not limited to, statistical analysis plan, data analysis and programming, randomization, and CDISC conversion. Furthermore, we provide you complete data monitoring committee support comprising administration and management, selection of members, and preparation of tables, listings and figures.
Our capabilities go beyond traditional clinical trials; we have mastery in facilitating decentralized trials. Our team seamlessly integrates data from wearable devices and remote patient monitoring systems into EDC systems and clinical trial platforms. As a clinical research data management services consultant, we enable interoperability between different clinical trial systems, which helps in streamlining data management in decentralized trials.
With advanced data engineering, we seamlessly integrate, manage, and optimize diverse datasets that are valuable for your clinical operations. Additionally, by integrating AI in drug development, we help you improve data accuracy through AI’s advanced processing capabilities, resulting in more efficient clinical trial data management. Our clinical study data management services enable you to unleash the full potential of your data by leveraging top-notch AI technologies.
As a certified AWS Consulting Partner, we have extensive experience in designing and implementing cloud-based solutions tailored to the life sciences domain. Moreover, with our Big data implementation expertise, we develop seamless data pipelines, ensuring efficient ingestion, processing, and storage of diverse and vast datasets.
CliniMed Lifesciences, our esteemed partner, has years of experience in running clinical operations in the Indian subcontinent. It also has an impressive network of top-notch clinical investigators. CliniMed’s expertise teamed with our technological prowess result in optimal trial performance. Our clinical research data management services consultancy ensures data integrity throughout the trial process by implementing secure systems, standardized protocols, and rigorous quality checks.
With over 10 years of experience in the field of clinical trials, we are a leading clinical biometrics solutions and technology services company. Our offerings are customized for the constantly changing needs of the life sciences industry. With mastery of crafting technology solutions, managing complex clinical data transformations, and navigating regulatory frameworks, our team can deliver highest quality, customized solutions.
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