Patient Intelligence helps sponsors and CROs understand where relevant patient populations are, how patients are expected to be treated, what happens across real-world care journeys, and which providers see them.
Powered by NorstellaLinQ real-world data and connected to Citeline’s established clinical intelligence, Patient Intelligence brings patient context into the workflows used for protocol planning, feasibility, site selection, and patient recruitment. Instead of treating patient data as another disconnected input, teams can evaluate it alongside the trial, site, investigator, and pipeline data already informing their decisions.
Understanding the feasibility of a clinical trial often requires teams to reconcile information from multiple vendors, claims and EHR sources, internal trackers, CRO deliverables, and clinical intelligence tools.
These sources may be updated at different times, structured in different ways and analysed by different teams. The result is a fragmented view that can make it difficult to answer critical planning questions consistently:
Patient Intelligence brings these perspectives into a more connected environment, helping teams evaluate the patient, protocol, and site landscape together.
Patient Intelligence gives clinical teams access to patient context earlier, when protocol, country, site, and recruitment assumptions are still being formed.
Use Patient Intelligence to:
assess whether relevant patient populations exist and where they are concentrated
explore how patient populations may change during a study’s planned enrollment period
compare proposed study assumptions with current treatment guidance
understand real-world treatment patterns, care transitions, and lines of therapy
identify providers treating relevant patient populations
evaluate patient access alongside site and investigator intelligence
bring patient diversity and demographic context into country and site planning
support more transparent, evidence-based feasibility discussions
Explore coverage across more than 250 diseases, including incidence, prevalence, and country-level population distribution.
A five-year projection helps teams understand how patient populations may change over the planned enrollment period, so studies can be sized against where the population is heading, not only where it stands today. Patient advocacy organizations are also surfaced by disease, providing a starting point for community engagement and recruitment research.
Review guideline-recommended treatment regimens by biomarker and line of therapy.
Standard of Care can help teams assess whether proposed control arms, eligibility criteria, and treatment assumptions reflect current guidance.
Understand how patients move through care in the real world, including treatment patterns, line-of-therapy progression, and care transitions.
Patient Journey also connects patient populations with the providers treating them, helping teams identify relevant providers who may sit outside existing investigator and site networks.
Patient Journey uses de-identified US real-world data from NorstellaLinQ.
Understand who your patient population is, where they are concentrated and how population characteristics vary across countries, regions, and care settings.
Patient Intelligence brings demographic, epidemiological, and patient representation data into clinical development planning, helping teams evaluate potential study geographies, inform site strategy, and assess patient access considerations earlier in the process. By incorporating patient population context alongside trial, site, and investigator intelligence, teams can make more informed decisions about study design, feasibility, and recruitment planning.
Patient Intelligence is powered by NorstellaLinQ, Norstella’s curated real-world data foundation built to support clinical development. NorstellaLinQ connects claims, EHR, lab and biomarker, clinical note, and social determinants of health data at the de-identified patient level, creating a longitudinal view of the patient journey across multiple data sources.
With open claims and lab data refreshed weekly and closed claims refreshed monthly, teams can make feasibility, planning, and recruitment decisions using a more current view of patient activity.
Patient Journey also incorporates insights from clinical notes, using disease-specific language models with clinical validation to surface details such as staging, histology, biomarkers, and treatment rationale that may not be available in structured data alone.
Speak to an expert
A Citeline specialist can demonstrate Patient Intelligence, helping you explore patient populations, treatment guidance, real-world care journeys, and provider context in relation to your clinical-development priorities.
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