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Guide to eCRF in clinical trials

In modern clinical trials, data is the most valuable asset. However, the methods for collecting and analyzing this data have historically been slow and expensive. For decades, clinical trials sponsors have relied on paper Case Report Forms (CRF), but today electronic Case Report Form (eCRF) modernizes the entire data collection process, all while ensuring secure, compliant data storage in a cloud-based eCRF software.

This ultimate guide to eCRF in clinical trials delves into everything from the meaning of eCRF and what it means in practice, to real-world experience with implementing eCRF design in clinical data management.

In short

  • What is it? An electronic Case Report Form (eCRF) is a digital questionnaire used in clinical trials to collect, store, and manage patient data securely. It is the primary interface of an Electronic Data Capture (EDC) system.

  • Core elements of an eCRF: Standardized data fields, automated validation rules, role-based access controls, electronic signatures, and an immutable audit trail.

  • How is it used in clinical trials: It replaces paper forms, allowing clinical site staff to input patient data directly into a secure cloud environment. This enables real-time monitoring, multi-site collaboration, and rapid data cleaning.

  • Importance of software solution: Modern no-code eCRF software allows sponsors to maintain direct control over study design and validation. This eliminates third-party programming bottlenecks, reduces study setup timelines from months to days, and lowers overall trial costs.

  • Who is Ledidi? Ledidi is a Norwegian software company founded by academic surgeons and software engineers. We provide a unified, secure cloud platform, comprising Ledidi Core, Ledidi Trials, and Ledidi Registries, that integrates data capture, real-time analytics, and global collaboration.

What is an eCRF?

An eCRF, abbreviated from electronic Case Report Form, is a digital questionnaire used in clinical trials to collect, store, and manage patient data. To understand the eCRF meaning in clinical research, it should be viewed as the digital evolution of the traditional paper Case Report Form (CRF). As a result, it serves as the foundation for modern clinical data management, having replaced the traditional paper forms previously used by researchers and sponsors.

Today, the digital questionnaire helps sponsors to track study participant information, monitor trial progress, and analyze results efficiently. It functions as the primary interface within an Electronic Data Capture (EDC) system – the hub for the actual data collection process.

eCRF example: What does it look like in practice?

Within an EDC system, sponsors can design their own eCRF as well as manage a complete user interface for the collected data part of a clinical trial. In any trial, researchers will include different forms of data, specified for the relevant study.

An eCRF example of a standard study example typically include the following forms:

  • Demographics form: Includes data on age, sex, and height and weight.
  • Vital signs form: Includes information on blood pressure, heart rate, and temperature.
  • Adverse events form: Option to include side effects or impacts of medication.
  • Lab results form: Opportunity to flag abnormalities, which is necessary for data validation.

A real-world example

In collaboration with Ledidi, the Cambridge-based robotic surgical device manufacturer, CMR Surgical, used our software solution, Ledidi Core, to design and set up their own EDC and eCRFs for a multicentre prospective clinical trial. This enabled them to evaluate the Versius robotic system in paediatric urology across three NHS clinical sites (Southampton Children's Hospital, Royal Manchester Children's Hospital, and Evelina London Children's Hospital).

“We are committed to the responsible introduction of Versius across new specialties and data-driven clinical practice is integral to this, particularly in a trial setting.”

– Mark Slack, Chief Medical Officer & Co-founder, CMR Surgical

By taking advantage of the Ledidi no-code designer, which allows for building forms that mirrors their actual clinical workflows, they managed to save significant time and cost without compromising compliance.

Did you know?

Ledidi Trials has officially launched as a dedicated, specialized module for GxP-regulated trials. This serves as the primary software for regulatory clinical trials, designed for medtech, biotech, and Clinical Research Organisations (CROs).

Ledidi Trials was also independently audited and confirmed audit-ready in January 2026 by Thomas Pauly CISA / DHC, ensuring compliance with key regulatory expectations, including FDA 21 CFR Part 11, ICH GCP E6 (R3), and ISPE GAMP 5.

Explore Ledidi Trials

The sponsor’s role in eCRF design

When the sponsor of the clinical trial develops the eCRF, they collect the specific data they need to test their hypotheses or answer their research questions. Ultimately, they are responsible for designing a questionnaire that accurately represents the protocol of the clinical trial. Additionally, managing the production, monitoring the data collection, and auditing the content on the completed questionnaires falls on the sponsor’s shoulders.

While traditional systems previously forced them to outsource the entire process to CRO programmers, modern no-code eCRF software allows sponsors to maintain direct control over design, validation, and monitoring. This eliminates any third-party bottlenecks, which not only provides a level of operational flexibility, but reduces time and resources.

The core elements of an electronic case report form (eCRF)

The purpose of an eCRF is to collect and report data from participating patients in a clinical trial. For researchers, the digital format of these report forms help to streamline and automate the process, while also ensuring compliance with standards and regulations. Next, we will delve into how the core elements protect data integrity and save clinical staff time.

The capture of data

A good eCRF system enables the efficient, accurate, and consistent capture of clinical trial data directly from study sites. Investigators and research staff can enter participant information electronically at the point of care, reducing the need for paper-based records and manual transcription. This helps to minimise data entry errors, improve data completeness and ensure that information is available for review without delay. Standardised electronic forms also promote consistency across multiple sites, supporting the integrity and reliability of study data.

The real-time monitoring of data

Real-time monitoring provides sponsors, study managers, and clinical research associates (CRAs) with immediate visibility of data as it is entered into the system. This allows study teams to track participant recruitment, monitor site performance and identify potential issues, such as missing data or protocol deviations, at an early stage. By enabling timely intervention and oversight, real-time monitoring helps to improve operational efficiency, reduce delays and support informed decision-making throughout the course of the study.

Automated validation of data

Automated data validation helps to ensure that clinical trial data is accurate, complete, and consistent. The eCRF system can automatically apply predefined validation rules, including range checks, mandatory field checks, and logical consistency checks, to identify discrepancies at the point of entry. Users can be alerted immediately to potential errors, allowing them to correct issues before data is submitted. This reduces the burden of manual data cleaning, enhances overall data quality, and supports compliance with regulatory requirements and Good Clinical Practice (GCP) standards.

What is eCRF in clinical trials?

The eCRF acts as the legal, auditable record of the trial by continuously documenting data, cross-referenced and validated throughout the process.

For multi-centre collaboration, the eCRF ensures that researchers across different NHS trusts or international sites collect data in a highly standardised manner. This is critical for maintaining the scientific integrity of the study, ensuring that a data point collected in London is identical in structure and meaning to one collected in Liverpool or Oslo.

“The eCRF is what transforms raw clinical data into regulatory-grade evidence. Every data point collected needs a clear, auditable trail from source to submission.”

– Ravjeet Sandher, Sales Manager in Ledidi

Implementing an eCRF design in clinical trials

The five steps of collecting clinical study data in line with the principles outlined by ALCOA+ (Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available) framework for ensuring data integrity.

Attributable: Clear defined structure for collection of data

Every data point collected in a clinical study needs to trace back to a specific source and a responsible individual. In practice, this means your eCRF is built around a clearly defined data model from the outset. Who entered the data, when, and from which visit or procedure needs to be captured automatically and without ambiguity. In Ledidi Trials, this is handled through role-based access, audit trails, and site-level attribution that are baked into the platform rather than bolted on.

Legible and contemporaneous: Accurate data collection

The principle of contemporaneous collection means your eCRF workflow needs to sit as close to the clinical interaction as possible. In a well-designed study, a site coordinator enters data at the point of care or within a defined, short window afterwards. Digital eCRF removes the legibility problem entirely, but it does not solve latency on its own. You need a protocol that defines capture windows clearly, and a platform that makes entry fast enough that staff do it in time. Timestamps in Ledidi Trials are system-generated and immutable, which means the audit trail reflects the exact time that the data was entered.

Original: Relevant data

One of the most common compliance failures in eCRF design is asking sites to manually re-enter values from source documents. Where direct data capture is possible, that is the standard to aim for. Where it is not, the eCRF should be the first point of digital entry. Relevance matters too. Forms that capture data the protocol does not require add burden, increase error rates, and create unnecessary obligations at analysis. It’s important to build forms that collect what the study needs.

Accurate and consistent: Validation of eCRF data

Accuracy in eCRF data does not happen passively. It requires validation logic built into the form itself: range checks, cross-field dependencies, mandatory field enforcement, and query management workflows for out-of-tolerance values. Consistency matters equally across sites.

If Site A and Site B are interpreting the same field differently, your dataset is not comparable. The design phase should standardise field definitions, units of measurement, and response options so that variation in the data reflects clinical variation, not how the form was interpreted. In Ledidi, edit checks and validation rules are configured at the study level and applied uniformly across all sites from the moment the study goes live.

Complete and enduring: Management of third party data

Completeness means tracking query resolution rates, missing data flags, and site completion status in real time rather than discovering gaps at database lock. Enduring means the data remains accessible, readable, and auditable beyond the life of the active study. When third party data is involved, whether that is data from a CRO, a laboratory, a device, or a partner site, the governance framework needs to define clearly who owns each data element, what the transfer mechanism is, and how discrepancies are resolved.

Explaining the real-world differences between a CRF and an eCRF

A case report form (CRF) records all the same patient information that must be collected during a clinical trial that an electronic case report from (eCRF) does. The difference between the two methods is how you store the information.

With an eCRF you can store the data in a cloud-based system, enabling you to gather and access data from multiple sources, anytime. Clinical monitors can also review the data remotely, saving costs, and avoid manual data entry, saving time, both advantages that paper CRFs cannot compete with.

The benefits of using an electronic case report form

Accelerated timelines

The benefit of using an electronic questionnaire is to streamline the entire process from collection to validation of data. It enables sponsors to operate faster and more efficiently.

Global collaboration

Additionally, cloud-based eCRFs allow real-time, multi-site collaboration across different geographies and institutions. During clinical trials, such collaboration is often essential to a successful output, making eCRFs an important part of that toolkit.

Data security

Regular CRFs also don’t guarantee the same safety as eCRFs do. Since the clinical trial data is stored safely in the cloud, the sensitive patient information is only accessible through advanced encryption and strict governance.

How a user-friendly interface ensure CRF compliance

The eCRF completion guidelines are standard operating documents in clinical research that detail how study personnel should enter, correct, and sign data within an electronic data capture (EDC) system. There are several CRF completion guidelines (SOPs) to follow, including general data entry rules.

Complex, poorly designed software increases the risk of protocol deviations. When the architecture behind the data is not sufficiently designed, the entire process is compromised. For that reason, it is important to choose appropriate software solutions to ensure proper compliance in the clinical study.

Ledidi Core is intuitively designed to streamline every aspect of the clinical data management with a user-friendly interface. As a specialised tool for researchers and sponsors, it drives compliance because it requires minimal training for site staff and reduced administrative fatigue.

Our eCRF solution

The eCRF is not an isolated database, but a part of a continuous clinical data lifecycle. With Ledidi, a research group can run a clinical registry on Ledidi Registries and a manufacturer-sponsored clinical trial on Ledidi Trials within the same secure environment. This can be done without migrating data or re-training staff.

How much does an eCRF cost?

eCRF and EDC platform pricing varies significantly across vendors. Some platforms are more expensive, others more affordable, and this comes down to their pricing model, the functionality they offer, and what your specific requirements are. Whether you need a standalone EDC or a platform with additional modules and integrations will shape the cost considerably.

Pricing models differ too. Some vendors charge study-by-study, others on a subscription basis, per user, or even per data point. Beyond the model itself, there are common cost drivers that apply across most platforms: study type and complexity, number of patients, number of sites, and study duration.

Breaking down the price

Pricing typically breaks down into three parts:

  • Application service fees are the recurring fees for access to the platform.
  • Professional service fees cover study setup, configuration, and ongoing support.
  • Managed service fees apply when the vendor takes on broader operational responsibilities such as data management or query resolution.

How we deliver eCRF support

What we see consistently in MedTech is that companies are being charged high application service fees and are paying significant professional service fees on top just to build and configure their studies. This adds considerable cost and slows down study start-up at exactly the point when speed matters most.

Ledidi is built differently. The platform is intuitive, requires no coding expertise, and includes an AI-powered study build option that puts configuration directly in your hands, reducing build time from months to days. More importantly, Ledidi enables you to move beyond a single study view and manage your entire evidence programme in one place. One platform for all your clinical data needs, with pricing that reflects that long-term strategic view.

Estimate the project cost in our calculator

Please note that every organisation's requirements are different. We would always recommend engaging with a vendor directly, seeing the platform in action, and discussing pricing options before making a final decision.

How Ledidi can benefit you

Health data collaboration is possible through the Ledidi Core platform, which integrates data capture, analytics and collaboration in one seamless platform within a secure cloud-based environment. Ledidi’s vision is a world where the health and life science community collaborates on a global scale.

About Ledidi

Ledidi is a Norwegian software company founded in 2016 by two academic surgeons and three software engineers with extensive expertise in system architecture and cloud computing.

Frequently asked questions

What is the difference between an eCRF and an EDC?

Although the terms are often used interchangeably, an electronic Case Report Form (eCRF) and an Electronic Data Capture (EDC) system are not the same thing.

  • eCRF: The Data Collection Form is the electronic version of a traditional paper Case Report Form (CRF). It is the structured form used by investigators and study staff to record participant data during a clinical trial. The eCRF contains the fields, questions and data points required by the study protocol, such as demographics, medical history, laboratory results and adverse events.

  • EDC: An Electronic Data Capture is the software platform that hosts and manages one or more eCRFs. In addition to data collection, it provides functionality for data validation, query management, audit trails, user access controls, reporting, monitoring and data export.

In simple terms, the eCRF is the interface through which clinical data is entered, while the EDC is the broader technology platform that captures, stores, manages and processes clinical trial data.

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