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Top Results
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Industry
Life Sciences
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Patient-centered Care Models Taking Center Stage in Life Sciences
Read how patient-centric care models and pharma innovation are ushering new trends in life sciences to improve patient outcomes and enrich lives.
Related Insights
Learn how continuum care based on advanced point-of-care testing, precision diagnostics, and mobile and digital health will improve wellness and patient care.
White Paper
28 Mar 2024
This paper explains the human microbiome, the increasing market of microbiome drugs, and how microbiome therapeutics startups are gaining traction. Know more.
White Paper
14 Nov 2022
The era of microneedles for insulin delivery is emerging, and digital twin can help design MN array patches tailored to patients' specifications. Learn more.
White Paper
28 Feb 2023
Products and Platforms
TCS ADD™
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TCS ADD™: A Suite of Modern and Open Technology Platforms
TCS ADD™ is a suite of modern and open technology platforms for clinical research and drug development that helps make clinical trials more agile and safe.
Related Insights
Understand the importance of next-gen technologies such as AI-based algorithm to model investigator site performance and identify site workload and risks.
Article
29 Aug 2024
Learn how conversational AI can address clinical regulatory intelligence challenges and help life sciences organizations gain insights and ensure compliance.
White Paper
29 Aug 2024
Learn how NLP and generative AI can address edit check configuration challenges, reducing time to minutes or hours and transforming clinical data management.
White Paper
28 Aug 2024
Clinical trials can shift to a better operating model based on dynamic approaches for monitoring studies, as well as sites and study participants.
The life sciences sector is at a unique inflection point. Advancements in medicine and emerging demands have opened new, potential markets. However, the absence of a centralized information repository with data present in diverse systems and formats and reliance on human memory in selecting clinical trial sites and the execution process impedes market deployment. There is a prevalent need for a data science-led solution that leverages next-generation technologies such as AI/ML to provide predictive use cases, like adaptive monitoring for quicker data-driven decisions and greater market success.
The pharma and contract research organizations (CRO) are facing multiple challenges and inefficiencies due to predetermined and fixed schedules of site monitoring. The COVID-19 pandemic and the disruptions caused by it have forced organizations to reimagine how they engage with and support investigator sites. Traditional site monitoring methods use lagging indicators that leverage historical data and fail to provide an accurate assessment of site performance. Manual and time-intensive resource allocation and planning add to the overall workload and inefficiencies.
The following paper details the utilization of AI (artificial intelligence)- based algorithms to assess participating site performance and perform predictive analytics for identifying site workload and site risks. Additionally, it discusses about key risk indicators (KRI) and key performance indicators (KPI) for clinical research professionals at the sponsor organization. It also describes how clinical operations can shift to a better operating model based on dynamic monitoring of clinical trials, sites, and study participants.
Please visit the page below to read the paper:
Swipe LeftSwipe RightLeveraging next-gen technologies such as artificial intelligence and machine learning can empower sponsors to make data-driven decisions in an expedited manner. When you actually use artificial intelligence to predict site and risk workload, this proactive and predictive approach clearly augments the way and empowers end users to perform effective site monitoring. This, in turn, can be instrumental in bringing drugs faster to the patients in need.”
SAURABH DAS
Head, TCS ADD™ Analytics and Insights, TCS
About the authors
Image of Saurabh Das
Saurabh Das
Saurabh Das is part of Life Sciences, TCS ADD™. He has over 17 years of experience in product development and managing large program executions.
Image of Krishna Priya V K
Krishna Priya V K
Krishnapriya has been working in the field of big data implementation, data warehouse, and ETL tools for the last 15 years. She has played key roles in multiple system integration programs, migration programs, as well as modernization programs.
Image of Parul Dua
Parul Dua
Parul Dua has extensive industry experience in software design and development. Her area of expertise is web development and analytics.
© Copyright [2024], Tata Consultancy Services Limited. All Rights Reserved. Document ID CGTC010674
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