Clinical trial data glossary: real-world data, feasibility and site selection terms
Clinical trial planning has its own vocabulary, and real-world data adds another. These are the 50 terms CROs and sponsors meet in feasibility, site selection and bid defense, each defined in plain English.
- The data (16 terms)
- Patients and protocols (11 terms)
- Sites and investigators (15 terms)
- Feasibility and the bid (8 terms)
16 termsThe data
Real-world data and where it comes from.
- Real-world data (RWD). Information about patients’ health and care collected during routine care rather than inside a clinical trial, such as health records, insurance claims, pharmacy and lab records, and registries. Also written real world data. More →
- Real-world evidence (RWE). The findings that come from analyzing real-world data, for example how many patients meet a protocol’s criteria or which institutions treat them.
- Patient-level data. Data kept as one de-identified record per patient, so individual patients can be counted against each of a protocol’s criteria rather than estimated from totals. More →
- Aggregate data. Totals and averages, such as how many people in a region have a diagnosis. Useful for sizing a disease, not for counting who meets a protocol.
- De-identified data. Data with names and other direct identifiers removed, so that no individual can be recognized. Trial planning works with counts, never identities.
- Tokenization. Replacing a patient’s identifying details with an irreversible code, called a token, so records about the same patient from different sources can be linked without revealing who the patient is.
- Linked data. Records from different sources, such as a hospital, a pharmacy and a lab, joined for the same de-identified patient so their care can be seen as a whole.
- Longitudinal data. Data that follows the same patient over time, so criteria that depend on history, such as prior treatment lines, can be checked.
- Electronic health record (EHR). The record a hospital or clinic keeps of a patient’s care: diagnoses, procedures, test results, medicines and clinical notes. Also called an electronic medical record (EMR).
- Claims data. Billing records of the care a patient received, submitted by providers to insurers. Claims show diagnoses, procedures and prescriptions across every provider that billed for them.
- Open claims. Claims captured as they pass from providers toward payers, before final payment. They arrive quickly and cover many payers, but a patient’s record can have gaps when some claims take another route.
- Closed claims. Claims taken from a payer after they are fully processed. They are complete for the time a patient is covered by that payer, but arrive more slowly and cover only that payer’s members.
- Lab data. Test results and their dates, used to check the thresholds written into inclusion and exclusion criteria.
- Pharmacy data. Records of prescriptions written and filled, used to check prior and current medicines.
- Disease registry. A database of patients with one condition, kept by a disease group, an institution or a government. Often an important source in rare disease.
- Data freshness (data lag). How recent the newest records are. Routine-care data takes time to arrive, so the latest weeks or months are usually the least complete.
11 termsPatients and protocols
Who can take part in a trial, and how that is decided.
- Protocol. The document that sets out how a clinical trial will be run, including who can take part, what is measured and for how long.
- Indication. The disease or condition a treatment is being studied for.
- Inclusion criteria. The conditions a patient must meet to enter a trial, such as a confirmed diagnosis, an age range or a lab value.
- Exclusion criteria. The conditions that rule a patient out, such as another illness, a prior treatment or a medicine they take.
- Eligibility criteria (I/E criteria). Inclusion and exclusion criteria taken together.
- Qualifying patients. Patients who meet a protocol’s inclusion and exclusion criteria, not just its diagnosis. Usually a small share of everyone with the condition. More →
- Patient pool. The number of patients who could take part in a trial in a given country, region or site.
- Screen failure. A patient who is screened for a trial but turns out not to meet its criteria. A high screen-failure rate costs sites time and budget.
- Diagnosis code (ICD-10). The standard code used in health records and billing to record a diagnosis. Codes are how a protocol’s conditions are matched to real-world records.
- Procedure code. A standard code, such as a CPT code in the US, that records a test or treatment a patient received.
- Protocol amendment. A change to a protocol after a trial has started, often to widen criteria when enrollment falls short. Amendments cost time and money.
15 termsSites and investigators
Who runs the trial, and where.
- Research site. A hospital, clinic or research center that runs a clinical trial and enrolls its patients.
- Principal investigator (PI). The physician responsible for running a trial at a site.
- Sub-investigator. A member of the site team who carries out trial tasks under the principal investigator.
- Key opinion leader (KOL). A physician whose expertise in a disease area is widely recognized. A well-known name, but not always the strongest enroller.
- Investigator track record. How an investigator has performed on past trials, especially trials like the one being planned.
- Verified site record. A site record whose identity has been confirmed, so one institution is not counted twice under different names or addresses and its trials and investigators are attached to the right place.
- Site dossier. A profile of a research site: its investigators, its past and active trials, the patients it treats and its capabilities.
- Site identification. Finding the candidate sites that could run a trial. The long list.
- Site selection. Choosing which candidate sites will run the trial. The shortlist. More →
- Site feasibility. Checking whether a particular site can run a trial: its patients, staff, equipment and timelines.
- Feasibility questionnaire. A survey sent to sites asking how many patients they could enroll. Answers are self-reported and often optimistic.
- Site activation. The steps that make a selected site ready to enroll: contracts, approvals, training and set-up.
- Non-enrolling site. A site that is activated but enrolls no patients. Tufts CSDD puts this at about 11% of sites. More →
- Rescue site. A site added after a trial starts because the original sites are not enrolling fast enough.
- Enrollment rate. How many patients a site or a trial enrolls per month.
8 termsFeasibility and the bid
How trials are planned, bid for and won.
- Clinical trial feasibility. The assessment of whether a study can realistically enroll, where and how fast. More →
- Protocol feasibility. Testing a protocol’s criteria against real patients before it is final, to see how many qualify and which criteria remove the most.
- Country feasibility. Assessing which countries can support a trial: patient numbers, sites, and regulatory and start-up timelines.
- RFP (request for proposal). A sponsor’s invitation to CROs to bid for a trial, usually asking for a budget, a timeline and a site plan.
- Bid defense. The meeting where a shortlisted CRO presents and defends its proposal to the sponsor before the award is decided. More →
- CRO (contract research organization). A company that runs clinical trials on behalf of a sponsor.
- Sponsor. The company or organization that funds a trial and owns the treatment being tested, often a pharmaceutical or biotech company.
- Full-service data company. A provider that supplies both the data and the analysis: it holds the records, and its team turns them into the answer a trial team needs instead of handing over raw data or software. Quantum Research Cloud is a full-service data company for clinical trials.
The terms people mix up
What is the difference between open and closed claims?
Open claims are captured as they pass from providers toward payers, before final payment, so they arrive quickly and cover many payers but can leave gaps in a patient’s record. Closed claims come from a payer after processing, so they are complete for the time a patient is covered by that payer but arrive more slowly and cover only that payer’s members.
What is the difference between site identification and site selection?
Site identification finds the candidate sites that could run a trial, the long list. Site selection chooses which of them will run it, the shortlist. Good selection rests on counted qualifying patients and each investigator’s record on similar trials rather than reputation or survey answers.
What is the difference between real-world data and real-world evidence?
Real-world data is the raw information collected during routine care, such as health records and claims. Real-world evidence is what you learn by analyzing it, for example how many patients meet a protocol’s criteria.
What is a full-service data company?
A full-service data company supplies both the data and the analysis. Instead of handing over raw data or software for your own team to work through, its team turns the data into the answer you need. Quantum Research Cloud is a full-service data company for clinical trials: for each protocol it delivers counted qualifying patients, a ranked and explained site shortlist and the investigators behind it.