Solutions

Welcome to the future of data.

Sponsors/CROs

1. Study Feasibility Analyses

Leverage your historical data from your past clinical trials and public data to model factors affecting the successful on-time completion of your upcoming clinical trials.

Created with Sketch. Public Data AppliedML Private Data Will my upcoming trial complete on time? How many sites would be needed How many patients will need to be recruited? Protocol Details (Therapeutic Area, Key Criteria) Past Site/Investigator Recruitment Performance (CTMS) Past Study Startup Timelines Patient Recruitment Benchmark dataset Global/Local Population Demographics

2. Site Selection & Study Startup

Solve challenges around identifying the bottlenecks and optimizing the onboarding process of sites and being the clinical trial process.

Created with Sketch. Public Data AppliedML Private Data What the best performing research sites for my study in a given region? What steps are causing the most delays in activations and why? Predict the potential bottlenecks in study startup ClinicalTrials.gov PubMed Site Profile (location, size, equipments) Investigator Profiles (CV, GCP, degree, experience) Past eFeasibility Survey Data Current eFeasibility Survey Data Past Study Start up Data (dates for key steps) Current Study Start up Data (dates for key steps) Past Site/Investigator Recruitment Performance (CTMS)

3. Patient Recruitment & Retention

Recruit trial participants using targeted outreach strategies informed by past and current data. Use predictive models to deploy personalized effective engagement strategies.

Created with Sketch. AppliedML What are the most effective channels to allocate budget for patient recruitment? What patient engagement strategy to be used for this study? How much time would it take to complete the enrollment? Protocol details (condition, complexity, criteria) Participant characteristics (demographics, healthy, prior trial experience) Visit Schedule (Time of the year, num of visits, distance to site) Outreach channel specific data (online, radio, banners, budget) Ongoing recruitment data (channels, conversions) Engagement strategies (stipend, access to care, taxi rides) Past Site/Investigator Recruitment Performance (CTMS)

4. Clinical Trial Supply Optimization

Forecast the right schedule for sending logistic supplies for efficient on-time delivery to reduce waste and save costs.

Created with Sketch. AppliedML Identify the top bottleneck steps in the supply chain? Predict the cost savings by implementing the optimizations? Supply details (drug, quantity) Geo-distribution of the sites and shipping estimates (days, costs) Shipping estimates

5. Risk Management & Regulatory Compliance

Compliance and regulation are at heart of any clinical trial process. Identify and predict regulatory risks by leveraging indirect data on various factors affecting ongoing compliance.

Created with Sketch. AppliedML What are the most effective channels to allocate budget for patient recruitment? What patient engagement strategy to be used for this study? How much time would it take to complete the enrollment? Facilities (space, electricity, freezers, centrifuges) Document storage & safety protocols Personnel training records (GCP) Electronic Data Systems (Trial Master File, EDC, EHR) Historical Data (FDA Debarment, awards, publications)

eClinical Technology Vendors

(Your) Study Startup System — AI Powered

Provide smart alerts and recommendations to achieve various milestones based on current trajectory and past performance data.

  • What are the best performing sites in Country A for diabetes based on the past eFeasilibility data
  • Start the contracting for sites in Country B before May 2018 to achieve the targetted completion
  • Sites that are responsive in average 2 working days tend to complete task on time. Site A, B and C have taken > 2 days and hence need to to be followed up more often

(Your) CTMS - Intelligent and Self-Aware

Convert your CTMS from just a data store into a decision-engine for your users.

  • Analyze the historical trends (visits, budgets, timelines) to plan and predict the on-time completion of the current study.
  • Predict the potential deviations or non-compliance and provide pre-emptive actions to solve the issues
  • Use data to plan and track the patient enrollment and provide predictive alerts
  • Integrate data with other sources such as media outreach for patient recruitment, eTMF for training/IRB records to perform intelligent analyses.

(Your) eTMF - Smart and Efficient

Get more value from the documents and make it actionable

  • Provide automatic suggestions for document classification
  • Perform automated audit and QC by analyzing the content of the documents
  • Identify any regulatory gaps and send alerts

No-Cost Proof of Concept Pilot at Your Organization Using Your Data

Our Clients

  • DrugDev
  • TrialX
  • Aledade
  • Komodo Health
  • JTurner Research
  • Client Drugdev