Connect electronic records
FHIR interoperability
Bring available data from electronic health records and other connected healthcare systems into research workflows, reducing repeated transcription at the site.
Explore FHIR integrationZero Data Entry (ZDE™)
Less data entry.
More time for research.
Clinical information already exists in many places. Your sites shouldn’t have to enter it all again.
ZDE™ is Simplified Clinical’s approach to reducing manual data entry within the Clinical Discovery Platform. Connect existing records, make use of clinical text, capture through speech, and now extract information from documents.
Built on Microsoft for Healthcare
Reduce site burden
Reduce the data-entry demands your studies place on investigators and coordinators, helping sites focus on participants and research.
Move data forward sooner
Reduce the manual steps between source information and usable study data.
Fit the way teams work
Combine capture methods around your sources, systems and study requirements.
Make participation easier for investigators and sites.
By reducing repetitive data entry, ZDE™ helps ease administrative work for investigators, nurses and study coordinators—giving teams more time for participants and research.
For sponsors, a simpler data collection experience can help make their studies more attractive to qualified investigators and sites.
A connected approach to collection
Start with the information
already available.
ZDE brings several capabilities together, so automation can fit the source rather than requiring every site to follow the same path.
Reach across systems
Universal Data Integration Gateway
Extend connectivity beyond FHIR. UDIG supports data exchange across different systems and interfaces, helping your organization work with the infrastructure it already has.
Explore the integration gatewayUse clinical narratives
Text Analytics for health
Identify relevant clinical information in unstructured medical text, helping teams make existing narratives more useful for data collection and review.
Explore text analyticsCapture through speech
Dragon Medical One
Support speech-driven entry into eCRFs when information needs to be supplied by a clinician, reducing keyboard work within the collection workflow.
Explore speech recognitionNow part of ZDE™
Turn documents into study data.
We’ve added Microsoft Azure Document Intelligence to extend automated capture to information held in documents, helping reduce transcription work and speed data collection.
Extract text, fields and tables from suitable PDFs, scanned forms and reports. Configure the extraction and review process around the document types and data your studies need.
PDFsScanned formsReports
Extract
Read relevant text, fields and tables.
Review & validate
Check the results and resolve exceptions.
Use within CDP
Bring reviewed data into governed study workflows.
Automation with accountability
People remain in control.
Reducing manual entry works best when capture, review and downstream use are designed together.
Defined data requirements
Align sources, mappings and validation checks with the information each study needs.
Human review and approval
Keep qualified people responsible for checking extracted information and resolving exceptions.
Traceable, governed use
Preserve source context, permissions and audit history as information moves into CDP.
Part of Unified Electronic Data Capture
The right combination for each workflow.
Use ZDE where automation fits, alongside traditional EDC and eCRFs for information that still needs to be entered. Support different sites and studies within one platform.
Explore Unified Electronic Data CaptureConnected data in practice
Less re-entry.
More time for patient care.
See how connecting Epic EHR data to the ACTION registry helped Children’s Wisconsin reduce manual data entry.
Read the EHR integration case study“This allows our staff to focus more on patient care, which is our ultimate goal.”
Herma Heart Institute, Children’s Wisconsin
Modernize your data collection
Where could less data entry
make the biggest difference?
Let’s look at your data sources, site workflows and research priorities, and identify where ZDE can reduce effort across your studies.
Discuss Your Data Collection