clinical trials fail to recruit enough participants on time

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participants do not complete trials, compromising statistical relevance

93% 

is the average investment for every clinical trial participant

$40,000

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Let’s partner for #FutureReadyHealthcare

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Accelerate clinical trials to bring innovative therapies to patients faster

3.6rem

Enterprise Clinical Solutions

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DT’s Clinical Trial Digital Tracker, Q1 2022

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Hybrid clinical trials – impact on sponsors

Digital Excellence in Clinical Operations

The state of CX, 2022: Clinical trial sites

A glimpse into trial participant experience

Recruiting and engaging patients digitally

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Insights to build #FutureReadyHealthcare

Clinical trials need to evolve for a digital-first world

Dependent

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in mining data for targeted patient recruitment

Suboptimal

Underprepared

Existing clinical operations are still

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Why believe us 

We design patient-centric trial experiences informed by insights from real-world data (RWD) to improve retention through the process

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Design patient-centric trials

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We enable sponsors to leverage data and digital approaches across the R&D lifecycle including study startup, conduct and closeout to drive faster decisions and predictable success

Leverage data to positively influence outcomes

We deploy proven trial monitoring strategies like risk-based quality management (RBQM) and scale up efficiently through a wide integrated network of industry partners

Manage risks and scale up efficiently

Modernize your clinical operations with data

Biopharma company propels COVID-19 trial recruitment ​

Indegene’s hybrid concierge screening enrolls patients

Japanese pharma reduces study closeout time

Life sciences leaders trust us

Our proprietary technology for clinical trials design optimizes trial designs, identifies the right patient subpopulations and programs risk factors using advanced analytics to enable successful clinical trial outcomes. Our enterprise-grade real-world data (RWD) and real-world evidence (RWE) framework enables trial design teams to conduct disease landscaping, identify alternate indications and understand patient subgroup heterogeneity to optimize protocols.We integrate health economics and outcomes research (HEOR), claims, genomics, lab and other data sources to model disease states and their progression in a real-world patient population context using graph-based predictive algorithms. We simulate trials with clinical, operational and outcome-based parameters to select the right protocol variants. We also enable trial design using synthetic control arms that repurpose historical clinical trial data and RWD to accurately match patients from the experimental arm. We use RWD along with NLP technologies and early biomarker identification to select sites and screen the right patients for trials.

Clinical Trials Design

Our real-world data (RWD)-powered omnichannel marketing approach identifies patients, conducts efficient primary and secondary screenings and transfers the right patients to clinical trial sites. We apply our concierge model with trained clinical research nurses to improve conversion rates and eventual randomization.

Patient Recruitment

We manage a variety of clinical data to enhance trial experience, accelerate trial completion, make random data available and improve trial efficiency. Our end-to-end clinical data services include consulting, defining and refining data requirements, case report form (CRF) designing, process building, data integration, and study amendments. Our data managers use protocol-based data collection mechanisms to ensure fool-proof clinical data. As a Medidata Rave-accredited partner, we extend our clinical trial services to a broad range of therapeutic areas.

Clinical Data Management

Through our end-to-end trial operations, we accelerate study startup activities along with contracts, budgeting and payment, data standardization and aggregation, study-specific portals for sites, patient engagement support, as well as oversight and compliance using Control Tower operations based on risk-based quality management (RBQM). Our experienced, global project team follows a data-driven approach, actively engages leadership engagement, and continuously reviews the study KPIs. Our operational strategy is significantly enhanced with the collective experience and expertise of a network of partners, integrated cohesively through digital platforms. Working closely with our oversight committee of clinical and medical advisors, we deliver successful desired study outcomes. Our content automation solutions further ensure efficient and effective study conduct operations.

Trial Management and Conduct

Our data analysts, data engineers, clinical experts and statisticians enable drug discovery and R&D teams to derive insights from real-world data (RWD) and molecular data to identify gaps in the clinical R&D life cycle, support biomarker development, and improve trial designs. We support you with patient profiling, disease landscaping, integration of healthcare data sources, feasibility analysis, patient and site selection, as well as health outcomes publication analysis. We improve trial design with biomarker discovery, biomarker-aided trial designs for patient stratification, trials for companion diagnostic development and synthetic control arm.

Real World Evidence Generation

With access to survey-driven details on digital adoption mechanisms, rate of adoption, challenges, and opportunities, we are uniquely positioned to consult with clients on clinical digital transformation initiatives. We work with you to understand your challenges in an uncertain world of rapidly changing customers, aggressive digital disruption, and a staggering pace of healthcare evolution. Our seasoned consultants apply their first-hand knowledge and deep experience in strategy and execution gained outside and inside the life sciences industry to solve your unique problems. During the process, we harness the power of data, capitalize on new technology, and then help transform that into intelligent operations for the clinical trial value chain, with a focus on patient-centric and site-centric functionality.