Validation
De-risk and expedite submissions by ensuring clinical data compliance
With Pinnacle 21 Enterprise clinical data validation software
Provision of accurate, compliant clinical trial data is essential for submission to regulatory agencies like the FDA and PMDA. Without high quality data, you risk costly delays – and worst case scenario, a failed submission.
But with Pinnacle 21 Enterprise (P21E), you can be confident your study data is in the best possible shape – before submission. In-stream clinical data validation and conformance checks highlight issues, so they can be fixed accordingly in real-time. And our dashboards show ‘data fitness’ results pre-submission. So you’ll know when your data is good enough. It’s the same platform used by the FDA and PMDA to review submission quality. So if you’re using P21E, you’re literally viewing through the eyes of the regulators!
Use the same platform as the FDA & PMDA to check your submission quality!
Why do clinical data validation in Pinnacle 21 Enterprise?
Fix issues upfront
P21E’s clinical data validation software identifies errors and non-compliance issues before submission. Easily review datasets against rejection criteria, so you can fix issues in advance. That way, you’ll mitigate the risk of non-conformance, and accelerate the review process for your trial.
Prioritize fixes
Easily monitor submission readiness with our data fitness scores. See which issues to fix as a priority, knowing the impact on your score. Now you can focus time and effort on fixing the right issues! You can even use projected scoring to anticipate future results, allowing you to intervene early in at-risk projects.
Oversight and control
Monitor submission progress and have visibility of all team activity. No more siloed working! Track before and after changes between validation runs. And with 20+ pre-built reports, you’ll have KPIs and metrics to deep dive into data analytics, identifying trends or inconsistencies in and across trials.
Align with regulators
The platform checks for compliance against CDISC standards, controlled terminology, and even dictionaries such as MedDRA and WHODrug. It also verifies conformance against the specific rules of each regulatory agency, with insights and tips to stay compliant.
Continuous compliance
Continuous validation in clinical data management means in-study data validation checks – rather than waiting for submission, which can cause delays. Our tool supports SDTM validation rules, ADaM validation rules, Define-XML validation rules, and SEND validation rules.
Validate your way
You can upload any organizational standards, terminology, and business rules into our clinical trial validator software, to verify CDISC compliance and check for any issues. That way, data can be validated according to your internal setup.
Already using P21 Community? Here’s the data validation tools you’re missing in P21 Enterprise…
Data Validation Tools | P21 Enterprise | P21 Community |
---|---|---|
Validate SDTM, SEND, ADaM, and Define.xml |
✔ |
✔ |
Metadata driven and configurable |
✔ |
✔ |
Data composition and quality reports |
✔ |
x |
FDA Data Fitness assessment scorecards |
✔ |
x |
Manage issues throughout the study lifecycle |
✔ |
x |
Communicate and collaborate with partners |
✔ |
x |
Monitor data quality improvement over time |
✔ |
x |
Track changes across validations |
✔ |
x |
Customize specs for SDTM+ or sponsor formats |
✔ |
x |
Design rules for projects, studies, and partners |
✔ |
x |
Why you’re better off with P21E
Mitigate the risk of failure
Without accurate, compliant trial data, a lot of costly rework is needed – which delays drugs getting to market. It could even risk submission failure. With P21E, you can have confidence in your data integrity! Validation and conformance checks keep you compliant throughout. And being able to preview data readiness before submission – in the same tool used by regulators – gives reassurance that you’re not risking non-compliance.
Be guided towards approval
Easily monitor data integrity and track progress towards submission readiness with our helpful dashboards and data fitness scoring tool. See which are the priority issues to fix, and how it impacts your score. You’ll even have on-screen guidance and tips from our submission experts. It’s the only platform used by the FDA and PMDA to review the quality of your clinical trial submissions.
Speed drugs to market
Being able to identify and fix issues before submission really shortens the review process. In-stream validation and issue resolution provide all the tools to speed submission readiness. So with our clinical data validation software, you’ll have the opportunity to get new drugs approved and launched earlier. Now you can beat the competition and maximize profits by launching earlier!
Monitor progress towards submission readiness
Ease regulatory submission prep
Validation in clinical data management ensures that your data is robust – from the first data cut. Our validator software helps sponsors, CROs, and academia gain the best possible chance of FDA approval.
The P21E platform enables validation of clinical datasets, such as SDTM, ADaM, and SEND, as well as Define.xml files. Easily analyze data and understand errors or inconsistencies, trends, or reasons for faulty data. Plus, collaboration with stakeholders and external partners, such as CROs, is simplified in one central cloud platform.
Get a free demo of Pinnacle 21 Enterprise Clinical Data Management & Automation Suite
Complete the form to book your no-obligation demo of the P21E Clinical Data Management & Automation Suite… and see how better off you could be!
Resources
Clinical data validation FAQs
Clinical data validation is the process of verifying clinical trial data, in order to ensure submission of high quality, accurate clinical trial data. Essentially, data validation includes making sure that data is complete, consistent, and accurate.
Clinical data validation varies according to different factors, such as the type of data collected, and the regulatory requirements it is subject to. A typical data validation process includes checking data against the rules and criteria defined at the outset. Errors, inconsistencies, or gaps would be identified as part of the validation process, and solutions determined accordingly.
Clinical data validation rules are a set of criteria that the data is required to meet in order to be correct, complete and consistent. Validation rules specify the acceptable values, formats, relationships, and conditions that data must correspond with.