Clean and reliable clinical trial data are prerequisites for developing new drugs and medical devices. Access to rich and diverse data from multiple sources presents an opportunity to improve trial integrity and patient safety while reducing the time to market. However, data management poses a hurdle with continuous dirty data from global sites and a lack of benchmarking, besides the growing volume and complexity of real world evidence data. Enterprises also need to contend with evolving regulations on interoperability, data security and privacy.

WNS offers clinical data management services to help pharma, Biotech and Medical Device companies and Contract Research Organizations with innovative and fool-proof data integration and monitoring solutions. Our use of technology ensures clean data right at the first point of entry at the sites. WNS leverages expertise across therapies and state-of-the-art technologies to manage clinical trial data with efficiency, compliance and security. Our team is well versed with bespoke proprietary technology and Enterprise Data Catalog (EDC) tools like OCRDC, RAVE, Inform, MedRio, OpenClinica, TMS, Rave Coder and analytics tools including Spotfire, JReview and SAS.

Our proprietary Unified Analytics Platform (UAP) is an industry-leading, AI-powered analytics solution. It combines domain-specific capability with pre-trained models and an API-driven modular approach to help clients sharpen their decision-making and outpace competition.

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Streamline Clinical Trial Data Pipeline with Intelligent,
Tailored Solutions

An end-to-end approach for traditional, virtual, decentralized and collaborative trials with a focus on scientific data management,
global project management and research

Clinical Data Management Services

Study Set-up

  • Protocol review
  • Case Report Form (CRF) designing
  • CRF build
  • CRF specification
  • CRF annotation
  • CRF completion guidelines
  • Data Management Plan (DMP) and Data Review Plan (DRP)
  • Edit checks specification and programming
  • User acceptance testing (UAT)
  • EDC training
  • Third-party (TPA) transfer specification and set-up
  • Medical dictionary set-up
  • Database audit

Study Conduct

  • TPA data transfer and reconciliation (central lab, e-patient diary, PK/PD)
  • Data review and query management
  • Medical coding
  • Serious Adverse Event (SAE) reconciliation
  • Medical data review
  • Blind data review
  • Interim analysis
  • Quality checks
  • Database migration/amendment
  • Weekly/monthly/quarterly meetings

Study Close-out

  • Interim database closure
  • Data integrity checks and ensure the database is ready to lock
  • Database lock
  • Relevant project closure documentation
  • Database archival/decommissioning
  • Record retention

Advanced Clinical Data
Analytics Services

WNS’ advanced AI/ML-powered data analytics solutions offer clients best-in-class predictive analytics and Big Data solutions customized to their requirements. We utilize electronic data sources to mine insights at patient, site and study levels to gain visibility into predicting patient discontinuation, therapy adherence, duration of therapy and site and study-level risks.

We also help our clients develop advanced analytics use cases for clinical trial optimization such as improving recruitment efficiency by identifying potential patients who meet trial criteria.

Know More

WNS offers Pharma clients end-to-end data engineering capabilities across modern technologies, which provide execution muscle for data strategies or any bespoke data infrastructure requirements. Our data governance and Master Data Management (MDM) services complement this to ensure highly efficient and reliable management of data assets and processes.

The WNS Advantage

  • 18+ years of experience in data analytics
  • 6000+ data and analytics professionals, 150+ data management consultants and 200+ cloud engineers
  • 40 leading Life Sciences clients
  • Support across 17+ therapeutic areas and 150 indications
  • Technology enablers, including over 15 AI/ML-based platforms
  • Customized data management solutions to meet the unique needs of each client
  • Dedicated AI innovation lab focused on building enterprise-grade, scalable and outcome-driven solutions