Here are CRIO’s Site KPIs: Benchmarks for the benefit of the industry

By Raymond Nomizu

Data transparency is rare in this industry, especially among clinical research sites. To improve transparency, we conducted an analysis of various KPIs within our system, and contributed them to the Site Accreditation and Standards Institute (SASI), a nonprofit organization that serves as a quality accreditation organization for clinical research sites.

We’re pleased to present the following KPIs for site performance. This analysis, conducted in April, 2026, calculates median, 1st quartile (i.e., 25% percentile) and 3rd quartile (i.e., 75% percentile) performance based on data from over 2,200 sites in the US that utilize the CRIO platform.

Some important notes on the methodology:

1. Only some of the KPIs are considered to have a positive “direction”, in that we can conclude that the 3rd quartile performance is indeed “better” than the 1st quartile performance. Those are highlighted in green. The remaining KPIs are merely descriptive, and do not necessarily prescribe targets to aspire to.
2. For each metric, we had to choose the appropriate basis for comparison – for example, some metrics are expressed at the site level, while others are expressed at the study or visit level. This means a KPI expressed at the study level is comparing performance on a per-study basis across all sites’ studies; thus, it does not express a site-specific average.
3. Each metric has a slightly different universe of sites, studies or visits it is based on. This is because we had to put in filters to eliminate blank or obviously anomalous data, as not all sites make full use of all the features in our system as intended. For instance, a site that does not utilize our Finance feature cannot be included in the Revenue benchmarking analysis.
4. For all of these reasons, we should be careful not to conclude that the same quartile performance is observed across metrics on the same study, visit or site. That said, a lot of these KPIs are in control of the site, and reflect the site’s operational practices, so as a directional guide for site performance, these KPIs can be valuable inputs.

# of active studies per site = Number of studies ongoing at the current time, either in enrolling or maintenance (not enrolling but subjects active) stage

# of enrolling studies per site = Number of studies ongoing that are in enrollment stage

# of Patient Visits per week per site = Number of patient visits per week; split visits count as one

# of Coordinators on each study = Number of CRIO users with Coordinator role on a study; Coordinator role is anyone with data rights other than an Investigator

# of Investigators on each study = Number of CRIO users with Investigator role on a study (i.e., PI or Sub-I)

Enrollment rate = Number of patients per month per site who enroll (i.e., randomize) into a trial

% of enrolled vs. targeted patients = The number of enrolled patients divided by the targeted enrollment number (for closed studies only)

Revenue per visit, by site = Total revenue earned by the site divided by the number of patient visits that occurred over that same time period

Annualized Revenue per site ($K) = Annualized total revenue by the site (autopay & invoiceable)

•   Average Revenue ($K) for sites in the first quartile, median range, top quartile
•   Average # of Patient Visits per week  for sites in the first quartile, median range, top quartile
•   Average Revenue per Visit for sites in the first quartile, median range, top quartile

Days from reg docs received to reg docs submitted = The number of days between the date the regulatory documents are received from the sponsor/CRO and the date the site submits them

Days from budget received to budget returned = The number of days between the date the draft of the budget is received from the sponsor/CRO and the date the site submits a response

Days from site activation → first patient screened = The number of days between the date the site is activated for recruitment and the date the of the first patient’s screening visit

Visit window deviation rate = The percentage of patient visits conducted that are outside the protocol-prescribed visit window

Days from source creation to source publication = The number of days between the date the site starts the eSource build and the date the site publishes the eSource build for deployment

# of eSource builds per study = The number of distinct eSource versions per study (using versions in Publisher)

% of Visits that are signed off by PI = The percentage of completed patient visits that have a PI signature affixed

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