SystemClinical Development

Country & Site Feasibility Analyst

Clinical trial site selection, every site ranked with a cited reason

Every country and site for a new study ranked with a cited reason, and the list approved in 11 days.

See one case, screen by screen ↓
target11daysfrom questionnaires back to an approved site list
demo24sitesclaim more than 3× the patients they screened — counted at 2× until they confirm
demo3minto re-run all 90 sites for a protocol amendment, with every change shown before it lands
target3%of chosen sites enrolled nobody — against about one in nine across the industry
The problem

Why site selection takes six weeks and still picks sites that enrol nobody

The questionnaires go out to 186 sites in 14 countries. What comes back is a mix of portal answers, PDFs and email replies — and every site says it has the patients. The feasibility lead has to check each claim against what the site actually screened on the last study, pull its start-up weeks out of the CTMS, and search the registries for every same-population trial recruiting nearby.

That is done in spreadsheets, one site at a time, while country managers push for the sites they know. The rationale for each choice ends up in someone’s head or an email thread, not in the trial master file. And a famous investigator with a weak record still gets a primary slot — until the site enrols three patients against a plan of ten.

target≈6weeksfrom questionnaires back to an approved list, by spreadsheet
typical≈11%of activated sites enrol no one
demo5.7×what one site claimed against what it screened on the last study
Where a study’s site-selection days goestimated
By hand42 days
With the solution11 days
  • Reading questionnaires and chasing missing answers10 → 2 d
  • Pulling each site’s history from the CTMS6 → 0.5 d
  • Checking competing trials in the registries5 → 0.5 d
  • Scoring sites and writing the rationale10 → 2 d
  • Country manager review and allocation7 → 4 d
  • Sign-off and filing to the TMF4 → 2 d

Estimated split for a Phase 3 study with about 90 usable questionnaires, by spreadsheet and with the solution.

How it works

How a study moves

Six specialist agents read the protocol, weigh patients, competing trials, site history and questionnaires side by side, then rank and explain; the feasibility lead signs the list.

What comes in
Study inProtocol synopsis · plus site history, questionnaires, registries
Agents at work
Protocol readerentry criteria
Then
Patient-pool estimator
Competing-trial scanner
Site history analyst
Questionnaire reader
Then
Ranker & rationale writerscore · cite · forecast
A person decides
Feasibility leadsigns after country managers review
What comes out
Ranked, explained site list
Enrollment forecast range
Filed to the TMF
One case, step by step

One study, from questionnaires back to a signed site list

VLT-401 is a Phase 3 study of veltrimab in Crohn’s disease, 480 participants. The questionnaires closed on Oct 2 and site list v3 is in approval. Here is how the list gets signed, screen by screen, in the working solution.

  1. 01Morning

    The whole study on one screen

    Lena Ortiz · Feasibility lead

    131 of 186 questionnaires back, 64 primary sites and 12 back-ups proposed from 90 scored, 12 countries plus 2 back-up. The most likely last patient in is May 2028 — 7 weeks before the June 2028 target. And 24 sites claim more than 3× their screening history.

    Needs you: “Universitätsklinikum Rheinhafen — Tom Becker asks to make it primary · agents propose back-up.”

  2. 02Countries

    Fourteen countries, every number with its source

    Lena Ortiz · Feasibility lead

    Poland leads with a score of 88: 6,900 eligible patients a year, 5 of 14 competing trials in the same population, EU CTR Part II in 76 days and a 13-week start-up. Brazil has 11,500 eligible a year but ANVISA plus national ethics takes 150 days, so it is held as back-up with three sites ready.

    “Eligible patients: licensed real-world counts with the VLT-401 criteria applied · registries refreshed Oct 5.”

  3. 03Ranking

    Ninety sites, ranked on what they actually did

    Ranker & rationale writer

    Each site is scored on six weighted factors: past enrollment 30 %, start-up speed 15 %, patient pool 20 %, competition 15 %, questionnaire quality 10 %, representation 10 %. Centrum Gastrologii Mazowsze in Warsaw is first at 85 — 1.44 participants a month, an 11-week start-up, and a claim consistent with its history at 0.9×.

  4. 04One click

    What if start-up speed matters more?

    Lena Ortiz · Feasibility lead

    Lena picks “Fast start-up”: start-up speed goes to 35 %, past enrollment to 25 %. Centrum Kliniczne Wielkopolska, with an 8-week start-up, climbs to #2. The live forecast follows — 16 sites open by Feb 2027 instead of 15, 4 proposals change, and the last patient moves a week later, because the faster sites enrolled less last time.

    “Move a weight — agents re-propose inside each country’s allocation; decisions made by people stay.”

  5. 0507:52

    A country manager pushes for a famous site

    Tom Becker · Country manager, Germany

    “Please make Rheinhafen a primary site. Prof. Albers leads the national IBD society and other sites follow his lead.” The rationale beside it ranks the site #85 of 90: in VLT-208 it enrolled 3 participants against a plan of 10 over 12 months, and start-up took 29 weeks, 13 of them on the contract.

    “The questionnaire reports about 80 eligible patients a year; the site screened 14 in a year on VLT-208, so the claim is 5.7× its history. We count 28 a year.”

  6. 06The evidence

    Four same-population trials within 25 km

    Competing-trial scanner

    BRK-17 recruits at the hospital itself; LUM-402, KST-112 and ARB-310 sit 17 to 20 km away — each a public registry entry, checked Oct 5. The site’s questionnaire names only two. SOL-44, a post-operative recurrence study 39 km away, is shown but not counted.

    Different-population studies never count against a site.

  7. 07Decided

    Back-up, with the reason in writing

    Lena Ortiz · Feasibility lead

    Lena keeps the agents’ proposal and confirms it with a reason: “Keep as back-up: 3 of 10 enrolled in VLT-208, 29-week start-up and four competing trials nearby. Opens if a German primary site falls behind after month 6.” The reason goes to Tom and into the audit trail. Moments later Tom signs Germany, the UK and France.

    “Tom Becker signed — all five country managers are done.”

  8. 08Ready to sign

    The list, the allocation and the forecast

    Lena Ortiz · Feasibility lead

    64 primary and 12 back-up sites in 12 countries; the country allocation already signed by Sam Patel, study lead. From 2,000 simulations: P10 Feb 2028, P50 May 2028, P90 Sep 2028. Lena signs with her password and the meaning of the signature — “I approve this site list and the rationale for each site.”

    “Poland and the US carry 46 % of the plan; losing one lead Polish site moves P50 by about 3 weeks.”

  9. 09Filed

    Every reason, filed to the TMF

    Dana Okafor · Trial master file owner

    Four records land in site selection, where Dana reads them: the site selection rationale for 76 sites with every sentence cited, the country allocation and site list, the P10–P90 enrollment forecast, and the approval record with signatures, meaning and time. The two changes country managers made, and Lena’s decision on Rheinhafen, are on the list with their reasons.

  10. 10Amendment 1

    The protocol changes — re-run before anything moves

    The agents

    Amendment 1 lowers the endoscopic entry score to SES-CD ≥ 4 and allows up to four prior advanced therapies. In 3 min 12 s the agents re-read the criteria, recount the pool — Poland +17 %, the US +13 % — re-score all 90 sites and propose 3 changes. The P50 moves from May to Apr 2028. Nothing changes until Lena applies it.

Who it’s for

Built for everyone who signs off a site list.

The same study, seen by the four people who carry it — what site selection looked like for them, and what it looks like now.

LO
Lena OrtizFeasibility lead
Feasibility lead
Before
Builds the ranking in a spreadsheet and defends every choice from memory when a country manager pushes back.
Now
Starts from 90 sites ranked with a cited rationale, tries a different weighting in one click, and signs a list whose reasons are filed with it.
SP
Sam PatelStudy lead, clinical operations
Study lead
Before
Agrees the patients per country without a forecast he can trust.
Now
Signs the allocation against a P10–P90 forecast and sees which countries carry the plan.
TB
Tom BeckerCountry manager, Germany, UK & France
Country manager
Before
Argues for the investigators he knows, and hears the answer secondhand.
Now
Asks for a change on the site itself and gets the decision back with the evidence and the reason.
DO
Dana OkaforTrial master file owner
TMF owner
Before
Gets a final site list with no record of why each site was chosen.
Now
Receives the rationale for every site, the forecast and the approval record, filed to site selection.
Built on the engine

6 agents. Each with one job, and hard limits.

Six specialist agents read the protocol, weigh patients, competing trials, site history and questionnaires side by side, then rank and explain; the feasibility lead signs the list.

Protocol reader

Reads the synopsis or amendment and extracts the population, every inclusion and exclusion criterion, procedures that need site equipment, visit burden and target size.

  • Thresholds copied exactly, with the protocol section cited
  • Flags any criterion it cannot structure
Patient-pool estimator

Applies the structured criteria to licensed real-world counts per country and region, keeping the funnel from diagnosed to eligible a year.

  • Counts only, never patient-level data · minimum cell size 11
  • Every number shows its data cut
Competing-trial scanner

Reads public registries for recruiting studies in the same population — per country and within 25 km of each site — matching on condition, phase, line of therapy and age.

  • Registry entry cited for every match
  • Different-population studies never count against a site
Site history analyst

Reads the trial management system: enrolled against plan, screened, screen failure, start-up weeks split into contract, ethics and activation, data quality and inspections.

  • Read-only access
  • No history means neutral, never zero
Questionnaire reader

Reads every returned questionnaire — portal, PDF or email — checks completeness, compares the eligible-patient claim with what the site screened, and drafts follow-up questions.

  • Follow-ups are drafts until a person sends them
  • Quotes the site’s own words
Ranker & rationale writer

Scores each site on six weighted factors, writes a cited rationale, proposes primary, back-up or not selected inside each country’s allocation, and forecasts enrollment from 2,000 simulations.

  • No uncited sentence
  • Proposes only — country managers and the feasibility lead decide
  • Explains every move of more than 5 places
Feasibility lead

Signs the list and allocation. The agents propose; a named person decides.

Ask in plain words

Ask it anything, in plain words

Ask about any country, site or forecast — or tell it what to change. Every answer points to the questionnaire, the CTMS record or the registry entry behind it.

Why is Rheinhafen only a back-up?

Three reasons. In VLT-208 it enrolled 3 of 10 planned in 12 months. The questionnaire claims 80 eligible a year — 5.7× what it screened; we count 28. Four Crohn’s trials recruit within 25 km, one at the hospital itself. Tom Becker asked to make it primary — that decision is yours.

Which sites overstate their patient numbers?

24 sites claim more than 3× the patients they screened per year on their last study. Each is counted at 2× its history until the site confirms, and follow-up questions are drafted.

Give start-up speed more weight

Done — start-up speed now counts 35 % (was 15 %), past enrollment 25 %. Inside each country’s allocation, 4 proposals change. 16 sites open by the Feb 2027 first-patient target (was 15), but the faster sites enrolled less on past studies, so the last patient moves a week later. Decisions made by people are kept.

When will we finish enrolling?

With the 64 primary sites, the last patient is most likely in May 2028 — 7 weeks before the June 2028 target. Optimistic (P10) Feb 2028, cautious (P90) Sep 2028, from 2,000 simulations of when each site opens and how fast it enrols. Poland and the US carry 46 % of the plan.

Every screen

The working solution, as it ships.

13 screens from the working solution, on its sample data. Pick one to see it large.

HomeThe study at a glance: questionnaires back, sites proposed, the patient map by country, the enrollment forecast and what needs the feasibility lead.
CountriesFourteen countries with eligible patients a year, same-population trials, approval path, start-up weeks and allocation.
Site rankingNinety sites scored on six weighted factors, with each questionnaire claim set against the site’s screening history.
Try a different weightingPick Fast start-up or move a weight — the ranking, the proposals and the live forecast follow.
One site, explainedThe rationale for a site’s rank, every sentence cited, beside the questionnaire with the answers highlighted.
Competing trialsSame-population studies recruiting within 25 km, each with its public registry entry.
Follow-up questionsQuestions drafted from the gaps in the evidence, sent only when a person sends them.
Your decisionPrimary, back-up or not selected, with a reason sent to the country manager and recorded in the audit trail.
Site list for approvalAllocation by country, the P10–P90 enrollment forecast and the changes made by people.
Approvals and filingEvery country manager, the study lead and the feasibility lead signed — the records filed to the trial master file.
Re-run for an amendmentNew criteria re-read, the pool recounted and all sites re-scored — changes proposed, applied only by a person.
How well the ranking predictsEnrollment by rank band, forecast against what happened, and why sites were not selected.
Your rulesDefault weights, the claim cap, the competing-trial radius, follow-up threshold, approvers and evidence sources.
Governance

Built for regulated work: cited, decided by people, filed.

Every sentence cites its sourceClick a citation in a site’s rationale to see the questionnaire answer, the CTMS row or the registry entry it rests on, highlighted.
Agents propose, people decideCountry managers review their sites first and can swap or add one with a written reason; the feasibility lead makes the final call. Decisions made by people survive any change of weights.
Nothing goes to a site unsentFollow-up questions are drafted from the gaps in the evidence. A person reviews them and presses send.
Counts, never patient recordsPatient pools come from licensed real-world counts — no patient-level data, minimum cell size 11. Site history is read from the CTMS with read-only access.
Signed with its meaningThe study lead signs the allocation and the feasibility lead signs the list with a password — name, time and the meaning of the signature recorded together.
Filed to the TMF, on the recordThe rationale for every site, the forecast and the approval record are filed to site selection. Every decision and every settings change is in the audit trail.
Configuration

Your feasibility rules, not ours

How sites are scored, who approves and where the evidence comes from are settings — every change recorded in the audit trail.

SettingDefaultChoose from
How the ranking is weightedBalancedBalanced · Proven sites · Fast start-up · Representation, or your own weights
Count questionnaire claims at most 2× screening historyOnOn · Off
Radius for competing trials25 km15 · 25 · 50 km
Ask for follow-up below this questionnaire completeness90 %80 · 90 · 100 %
Representation counts in the scoreOnOn · Off (sets its weight to 0)
Re-score weekly when registries changeMondays 06:00On · Off — told when a site moves more than 5 places
Who signs the country allocationSam Patel · Study leadSam Patel · Dana Okafor
Who signs the final site listLena Ortiz · Feasibility leadLena Ortiz · Sam Patel
Connections

Works with the systems you already run

Protocol synopsis and amendmentsentry criteria, procedures and target size
Clinical trial management systemenrollment, screening and start-up history for every site
Feasibility questionnaire portalportal answers, PDFs and email replies
Public trial registriesrecruiting studies, refreshed weekly
Real-world patient countsfrom a licensed data partner, counts only
Trial master filerationale, site list, forecast and approvals filed
What it changes

The difference, in numbers.

Every figure is labelled: a target the solution is built to, an estimate, a typical published result, or a proven one.

target
11days
from questionnaires back to an approved site list
By hand≈ 6 weeks
With agents11 days
target
3%
of chosen sites enrolled nobody; about one in nine across the industry
Industry≈ 11%
With agents3%
typical
2×
the enrollment speed at top-ranked sites, in a published sponsor programme
Other sitesTop-ranked

“demo” = seen in the working solution, on its sample study data · “target” = the design goal, measured in the live solution · “estimated” = our estimate · “typical” = published figures (Tufts CSDD — about 11 % of activated sites enrol no one). People, companies and products named on this page are fictional — characters and sample data in the working solution.

Questions

What feasibility and clinical operations teams ask us.

What is clinical trial site feasibility software?

Software that helps a sponsor decide which countries and sites to open for a study — combining site performance history, feasibility questionnaire answers, competing trials and patient pool estimates. The Country & Site Feasibility Analyst adds agents that read all of it, rank every site with a cited rationale and forecast enrollment, while people make the decisions.

How does it rank sites?

Each site is scored 0–100 on six factors — past enrollment, start-up speed, patient pool, competition, questionnaire quality and representation — and combined with the study’s weights. Move a weight and the ranking, the proposals and the forecast follow; decisions people have made stay.

Does it catch sites that overstate their patient numbers?

Yes. The questionnaire reader compares each site’s eligible-patient claim with what it screened on its last study and reports the ratio. By default a claim counts at most 2× the site’s screening history until the site confirms, and follow-up questions are drafted for a person to send.

How does it treat a site with no history?

A site with no past study for the sponsor gets a neutral history score, never zero, and lower confidence. Its questionnaire claim counts at 60 % until confirmed, and new answers from the site can be used to re-score it.

How is the enrollment forecast made?

From 2,000 simulations of when each site opens and how fast it enrols, based on its own history and start-up. The result is a range — optimistic (P10), most likely (P50) and cautious (P90) last patient in — shown against your target date.

Do people stay in control of the site list?

Yes. The agents only propose. Country managers review their own sites and can swap or add one with a written reason, the study lead signs the allocation, and the feasibility lead signs the final list with the meaning of the signature recorded.

What happens when the protocol is amended?

Add the amendment and re-run. The agents re-read the criteria, recount the patient pool, re-score every site and show what changes — eligible patients, proposals and the forecast — before anything moves. Nothing changes until a person applies it.

How long does it take to go live?

The Agentic Solution Engine builds and deploys it from your requirements and documents — your questionnaire, scoring weights, approval steps and CTMS history — and it goes live once every quality gate has passed. We will walk you through it on one of your own past studies first.

See it on
your next study.

We’ll run Country & Site Feasibility on a past study of yours and compare its ranking with how the sites actually enrolled.