TrialKit AI for EHR to EDC Connectivity
Create robust clinical trial datasets. Prevent data loss. Eliminate duplication. All with our EHR-to-EDC technology.
Create full pictures of your clinical trial participants with access to electronic health record (EHR) data from your EDC.
Develop targeted patient recruitment strategies, learn about disease prevalence, and generate real-world evidence without endless transcription or data cleaning. TrialKit AI brings together EHR and EDC data seamlessly using a machine learning API.
Why Trust Your EHR to EDC Communication to TrialKit AI?
Over 70% of data are duplicated between a site’s EHR and EDC systems. TrialKit AI facilitates data sharing between these systems, eliminating inefficiencies, redundancies, and data-entry errors. With barriers broken, clinical care informs your clinical research, and vice versa.
Stop the swivel chair
With automatic data sharing from the EHR to the EDC, study teams can devote the weeks normally spent on data transcription and cleaning to higher-value activities. Source data verification (SDV) isn’t needed either.
Optimize your research
Use EHR data to inform inclusion/exclusion criteria, streamlining study recruitment. Generate real-world evidence to support regulatory approval, reimbursement, and to explore how your product works in specific populations.
Use it with any EHR and EDC
TrialKit uses a proprietary machine learning API to bring unstructured EHR system data into a structured EDC database. Use it with the TrialKit platform or as a standalone tool.
Ensures a compliant environment
TrialKit AI complies with 21 CFR Part 11 and HIPAA requirements by anonymizing EHR data.
TrialKit AI saves you the time and cost of building an integration tool in house. And with a seamless flow of data from EHR records to the EDC system you can execute your study ten times faster, leading to substantial labor cost savings.