ABOUT THOUGHTSPHERE
Clinical discoveries and technology advancements have led to an unprecedented surge in data velocity, volume, variety and veracity and we believe truly holistic data solutions are required to capitalize on these breakthroughs and bring effective and safe treatments to patients quicker.
Our market-leading stacked platform creates an integrated central monitoring environment to streamline RBQM, drug safety, medical, data management, and site management tasks in a single platform. Our user-friendly solution leverages Machine Learning and Artificial Intelligence to automate processes and modernize clinical trial operations from data aggregation to the generation of validation-ready datasets.
Regardless of the trial design, level of patient-centricity or the diversity of data sources utilized, ThoughtSphere provides a 360º data view and a “one-stop-shop” for cross-functional end-users. Additionally, our flexible platform allows organizations the option to use all our solutions in concert or to pick specific solution(s) to fit their needs.
Please contact us to find out how we can help you monitor and control your clinical trials for better, faster, more reliable results.
FEATURED SOLUTIONS
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![Getty Images-1147982346 data flow]( "Safety Case Transmission & Reconciliation")
Reduce manual efforts and increase the speed and accuracy of safety case reporting by automating safety case synchronization and reconciliation.
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![GeyyImages-1133420240 payments]( "Site Contracts & Payments")
Discover how ThoughtSphere’s SPACE solution can cultivate these important partnerships by accelerating payment cycles, reducing financial errors, and enhancing relationships through collaboration, transparency, and more.
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![GettyImages-1327568875 data analytics]( "Study Oversight & Analytics")
Discover how organizations can better visualize, analyze, and distribute aggregated and harmonized data to support study oversight, data analyses, and clinical reporting needs.
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![Intelligent Automation AI]( "Eliminate Siloed Data With An Integrated Data Review Platform")
Unleash the power of unified data and processes with a solution that allows data ingestion automation, applies AI-driven analytics, synchronizes cross-functional review cycles, and generates reliable data faster.
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![risk-management-concept_iStock-629768058]( "Satisfying Critical Requirements With Risk-Based Quality Management")
Learn how ThoughtSphere’s comprehensive RBQM facilitates the complete risk lifecycle from risk identification through issue resolution with automated triggers and configurable user workflows.
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![Medical data risk iStock-1185375169]( "Data Quality And Management")
Built for clinical data management professionals, our data quality management workbench provides a multi-layered approach to ensure data quality and facilitate data management activities through AI and automation.
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![AI Data iStock-1223789411]( "Start Using The Next Generation Data Lakehouse")
Built for sponsors and CROs looking to collate and synchronize diverse clinical and operational data within and across studies and accelerate digital transformation.
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ThoughtSphere’s integrated Modeling and Analysis Programming (MAP) module allows data scientists and biostatisticians to seamlessly develop data models using SAS, R, and Python, with no data transfers or exports required.
CONTACT INFORMATION
ThoughtSphere
99 S Almaden Blvd. Suite 600
San Jose, CA 95113
UNITED STATES
FEATURED CONTENT
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![thoughsphere web thumb]( "Maximizing Clinical Data Interoperability And Accelerating Trials")
Maximizing Clinical Data Interoperability And Accelerating TrialsObserve how meta-data-driven systems yield fresh data insights and empower seamless synchronization and automation of data review workflows, redefining the landscape of clinical research.
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![GettyImages-1431917868 data]( "FDA Covariate Adjustment Guide: What Non-Statisticians Should Know")
FDA Covariate Adjustment Guide: What Non-Statisticians Should KnowNon-statistical team members are encouraged to read this summary regarding the FDA’s guidance to better understand and support covariate adjustments applied in clinical trials.
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![GettyImages-1355441102 data]( "The Evolution From Data Integrity To Data Quality")
The Evolution From Data Integrity To Data QualityConsider these three factors when transitioning to a more robust and quality-driven data cleaning and central monitoring strategy.
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![GettyImages-635889138 target]( "Are You Aiming For The Bullseye Or Just The Target?")
Are You Aiming For The Bullseye Or Just The Target?Learn what this author has to say about focusing on a clinical trial's outcome when developing Risk-Based Quality Management strategies.
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![GettyImages-1220259331 bridge the gap]( "Closing the Gap Between C-Suite Vision & Operational Reality")
Closing the Gap Between C-Suite Vision & Operational RealityDiscover how biopharma companies can bridge the gap between C-suite members and clinical operations with these scalable and practical solutions.
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![GettyImages-962434352 data management]( "Implementing & Scaling Clinical Data Platforms To Streamline Delivery")
Implementing & Scaling Clinical Data Platforms To Streamline DeliveryDive into the three-stage execution plan a CRO established to allow organizational and process changes to occur in lock step with the platform rollout.
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![GettyImages- 1433631021 AI ML]( "Creating A Successful ML Data Governance Strategy")
Creating A Successful ML Data Governance StrategyThanks to discoveries and tech advancements, the industry has witnessed a surge in data. Consider these key principles when developing and implementing machine learning governance policies.
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![GettyImages-1226909067 jumping line]( "Repositioning Your CDM Team To Meet Digital Trial Demands")
Repositioning Your CDM Team To Meet Digital Trial DemandsConsider these steps when repositioning your clinical data management team to unify cross-functional reviews and align processes and technology to meet the demands of digital trials.
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![gettyimages-847759148-170667 data]( "Small Team, Big Results: Maximizing Your Data Footprint")
Small Team, Big Results: Maximizing Your Data FootprintExplore several options that leaders should consider when determining how best to leverage and position data science expertise to support clinical data operations.
