Insights from SCOPE


  • Putting AI Patient Matching to Work in Clinical Trial Screening

    Insights from SCOPE | Put AI patient matching to work with a practical approach to eligibility criteria, supporting evidence, pilot testing, and site workflows. Explore how clinical teams can turn scattered patient information into useful screening recommendations and evaluate results before expanding their use.

    Nov 10, 2026
  • Are Your Clinical Trial Vendors Creating Extra Work for Study Teams and Sites?

    Insights from SCOPE | Your clinical trial vendors may meet their targets while leaving study teams and sites to connect the pieces. Explore how clearer handoffs, shared accountability, and better oversight can reduce the coordination work that individual vendor performance measures can easily miss.

    Nov 5, 2026
  • Clinical Trial Feasibility: Are Your Studies Competing for the Same Patients and Sites?

    Insights from SCOPE | Your next trial’s biggest recruitment competitor could be another study in your own portfolio. Explore how overlapping patient populations, site workloads, and timelines affect feasibility, and how coordinated planning helps teams build more realistic recruitment forecasts and site capacity commitments.

    Nov 3, 2026
  • Measuring Patient Burden in Clinical Trials: What Visit Counts and Procedure Times Miss

    Insights from SCOPE | A short visit isn’t always an easy one. Patient burden extends beyond procedure counts and appointment times. Explore how patient feedback reveals hidden demands and helps clinical teams improve protocol design, participation support, and the experience of staying in trials.

    Oct 29, 2026
  • Can Clinical Teams Review AI Outputs as Fast as AI Produces Them?

    Insights from SCOPE | AI finished in minutes, but who has time to check its work? As clinical teams scale AI, human review can become the bottleneck. Explore how clearer evidence, smarter review workflows, and realistic capacity planning turn faster outputs into usable results.

    Oct 27, 2026
  • Better Trial Delivery Means Rethinking Where Problems Begin: SCOPE Europe 2026 reflections | Part 1 of 2

    Insights from SCOPE | Across SCOPE Europe 2026, one theme connected discussions of recruitment, quality, and site operations: better trial delivery starts with earlier decisions. Explore how protocol design, patient input, and stronger partnerships can shape more practical, predictable clinical research from the outset.

    Oct 22, 2026
  • Stop Making Every Trial System Interpret the Protocol Again

    Insights from SCOPE | How many times do your teams extract the same protocol requirements? Learn how AI can help turn the schedule of activities into shared, reviewed information that supports budgeting, scheduling, and amendment updates while reducing unnecessary repeated work and conflicting interpretations.

    Oct 20, 2026
  • Can AI Take the Grind Out of Clinical Trial Budgeting?

    Insights from SCOPE | Building clinical trial budgets means digging through protocols, matching activities to costs, and resolving gaps. Learn how AI can reduce that manual work, what your team still needs to check, and how to tell whether it actually saves you time.

    Oct 15, 2026
  • Measuring the Business Value of AI in Clinical Research: Where It Helps and What to Track

    Insights from SCOPE | Where is AI actually saving your clinical research team time? Explore four practical applications, what to measure, and how to account for review, corrections, and costs so you can identify improvements that deliver real value in everyday clinical trial operations.

    Oct 13, 2026
  • When to Use AI for Patient-Facing Trial Materials—and When to Hold Off

    Insights from SCOPE | When can AI help create patient-facing trial materials, and when should teams hold off? Learn where drafting support fits, what needs human judgment, and how to decide whether AI will reduce work while preserving accuracy, clarity, and essential study information.

    Oct 8, 2026
  • Before You Buy Clinical AI, Ask for These Five Demonstrations

    Insights from SCOPE | Before buying clinical AI, ask vendors to demonstrate what happens when information is missing, outputs need correction, or workflows break down. These five practical requests help you uncover hidden work and assess whether a tool fits your team’s actual needs.

    Oct 6, 2026
  • How to Introduce AI at Clinical Trial Sites Without Adding Burden

    Insights from SCOPE | AI should make site work easier, yet poor implementation can simply shift effort into review, correction, and duplicate entry. Learn how site input, clear communication, risk-based oversight, and complete workflow measurement can turn AI promises into real operational, measurable gains.

    Oct 1, 2026
  • How to Build AI Fluency Across Clinical Operations

    Insights from SCOPE | AI fluency takes more than learning a platform. Clinical teams need practical skills to identify useful applications, protect sensitive data, question outputs, and escalate risk. Learn how role-specific training and safe experimentation can turn AI access into responsible operational capability.

    Sep 29, 2026
  • How to Measure the Business Value of Clinical AI

    Insights from SCOPE | Saving time does not automatically make clinical AI valuable. Learn how to measure the outcomes that matter, including cycle time, decision quality, capacity, adoption, risk reduction, and total implementation cost, so stronger use cases earn investment and weaker ones improve.

    Sep 24, 2026
  • When Clinical AI Can (or Should) Act, and When People Need to Step In

    Insights from SCOPE | As agentic AI takes on more clinical trial work, teams need clear rules for when it can act and when people must step in. Learn how risk-based oversight, escalation, and defined decision rights can preserve accountability without slowing every workflow.

    Sep 22, 2026
  • What Makes Clinical AI Auditable?

    Insights from SCOPE | Clinical AI needs more than accurate outputs. Organizations must be able to trace the data, model version, human review, changes, and actions behind each result. Learn how auditability supports stronger oversight, confident adoption, and responsible AI use in clinical trials.

    Sep 17, 2026
  • How to Integrate AI Patient Matching Into Clinical Trial Site Workflows

    Insights from SCOPE | AI patient matching only creates value when sites can act on it. Learn how to connect promising matches with chart review, coordinator workflows, clinical oversight, patient outreach, and feedback loops that move appropriate candidates from identification toward enrollment more efficiently.

    Sep 15, 2026
  • Why Clinical AI Pilots Stall Before Production

    Insights from SCOPE | A successful clinical AI pilot does not guarantee a production-ready workflow. Learn how reliable data, workflow redesign, integration, validation, ownership, user adoption, and meaningful performance measures can move promising AI capabilities into trusted, scalable clinical trial operations at enterprise scale.

    Sep 10, 2026
  • Tips for Choosing the Right AI Use Cases for Clinical Trial Operations

    Insights from SCOPE | Choosing the right clinical AI use case starts with the workflow. Learn how to evaluate operational value, data readiness, risk, integration, human oversight, and measurable outcomes so promising ideas can move from isolated pilots into trusted, scalable clinical trial operations.

    Sep 8, 2026
  • Why Clinical Trial Feasibility Questionnaires Need to Change

    Insights from SCOPE | Long feasibility questionnaires often ask research sites to repeat information sponsors already have. Learn how reusable site data, targeted questions, real-world evidence, and direct dialogue can reduce burden, improve comparisons, and support more current, useful clinical trial feasibility decisions earlier.

    Sep 3, 2026
SCOPE of Things Podcast