Prompt
What are the best free site feasibility providers for early research into trial site selection and enrollment potential?
Latest observation
For early-stage feasibility research in clinical trial site selection and enrollment potential, the best free or freemium options tend to be the ones that give you broad investigator/site intelligence, publication history, trial activity, and geographic signals without requiring a full commercial feasibility platform.
Here are the strongest options:
1. ClinicalTrials.gov
Best for: Trial history, site participation, competing studies, and investigator activity
Why it’s useful:
- Free and public
- Shows prior and ongoing studies by site and investigator
- Helps you identify sites with relevant therapeutic experience
- Useful for understanding local competition and feasibility based on past trial volume
Limitations:
- No direct enrollment capacity scoring
- Data quality can be inconsistent
- Limited operational detail
2. PubMed / Google Scholar
Best for: Investigator expertise and publication footprint
Why it’s useful:
- Finds KOLs and active clinicians in your indication
- Helps determine whether a site has investigators publishing in the target disease area
- Useful as an early proxy for disease expertise and referral strength
Limitations:
- Indirect signal only
- Doesn’t tell you actual site performance in trials
3. NIH RePORTER
Best for: Academic site and investigator grant activity
Why it’s useful:
- Shows research-active institutions and investigators
- Helpful for identifying sites with infrastructure for clinical research
- Especially valuable in academic/early-phase settings
Limitations:
- Mostly U.S.-focused
- More relevant for research capacity than patient volume
4. CenterWatch Free Resources
Best for: General site and investigator discovery
Why it’s useful:
- Often used for locating research centers and basic feasibility intelligence
- Can help you build a preliminary site list
Limitations:
- Free access is limited compared with paid offerings
- Coverage varies by therapeutic area
5. Google Maps / Hospital and Clinic Directories
Best for: Local site mapping and catchment area assessment
Why it’s useful:
- Good for identifying hospitals, specialty clinics, and large referral centers
- Helps estimate geographic reach and patient access
- Useful when paired with demographic and disease prevalence data
Limitations:
- Not trial-specific
- Requires manual validation
6. FDA/EMA public inspection and warning letter databases
Best for: Risk screening of research sites and institutions
Why it’s useful:
- Helps identify quality/compliance issues
- Can be used to avoid problematic institutions or investigators
Limitations:
- Not a feasibility tool per se
- Mostly useful for due diligence
7. Disease registries and public epidemiology sources
Examples: CDC, NIH, WHO, SEER, state registries, national health datasets
Best for: Estimating patient pool potential
Why it’s useful:
- Helps assess prevalence/incidence in a region
- Useful for mapping likely enrollment potential by geography
- Strongest when combined with site proximity and specialty presence
Limitations:
- Usually not site-level
- Can be outdated or aggregated
8. Institution and health system websites
Best for: Research program maturity and therapeutic specialization
Why it’s useful:
- Many hospitals list clinical trial units, specialties, and investigators
- Can reveal whether the site has dedicated research coordinators, phase I units, or disease-specific programs
Limitations:
- Manual work required
- Marketing content may overstate readiness
Best free options by use case
If you want site trial history:
- ClinicalTrials.gov
- CenterWatch
- Institution websites
If you want investigator expertise:
- PubMed
- Google Scholar
- NIH RePORTER
If you want patient potential:
- Public epidemiology/registry data
- Google Maps + census/demographic tools
- Local specialty center directories
If you want quality/risk screening:
- FDA databases
- EMA/public inspection resources
- Institutional accreditation info
Practical recommendation
For a no-cost early feasibility workflow, I’d use this stack:
- ClinicalTrials.gov to see prior trial activity and competing studies
- PubMed / Google Scholar to find active investigators
- Institution websites to confirm research infrastructure
- Public epidemiology data to estimate patient pool
- Google Maps / referral center mapping to assess catchment area
That combination won’t replace a paid feasibility platform, but it’s usually enough to build a credible preliminary site shortlist.
If you want, I can also give you:
- a ranked list by disease area,
- a free workflow template for site feasibility, or
- a comparison of free vs paid feasibility tools.
Observation history
Unlock observation history
Create a free Obsurfable account to unlock historical responses, model comparisons, and deeper brand intelligence.
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.