Clinical trials define exactly what data to collect, who collects it, and how it is processed. These tasks fall on staff focused on patient care — not data collection. FlowSIGMA's EWOCS replaces manual, error-prone steps with custom-fitdeterministic workflows: the same protocol executed reliably, every time, regardless of who is on shift. This includes specific workflow steps for validation of the collected data, high-quality pseudonymization, and automatic documentation of all workflow steps including completion times, and logging who performed human steps and their decisions.
Where AI tools are used to assist data extraction or classification, EWOCS governs their probabilistic outputs — validating, routing, and documenting every result within a predefined protocol.
The result: better data quality, easier adoption, more efficient trial execution.
Hospitals are deploying AI tools broadly and while current AI tools are mostly 'pixels only', this is changing because multi-model AI tools will be much more powerful. But a sophisticated platform is needed to manage these tools effectively. EWOCS does exactly that. Many workflows do not require AI but simply need an orchestration layer to manage the flow of information and tasks to assure tha humans complete them efficiently. EWOCS can do that and as EWOCS collects the input used by humans for making decisions and as AI becomes more powerful, it enables the training of AI tools to collect required information and suggest the best action to the human, making them more efficient and effective.
EWOCS can retrieve data using DICOM and FHIR and then perform the numerous steps that convert this raw clinical data into curated data suitable for research. Several of our FlowBots™ are designed to make including these steps easy. Examples include modules for processing each line in a CSV file, selecting the 'right' series from a CT or MR examination, converting DICOM to NIFTI, applyting deep learning tools like TotalSegmentator and then viewing and editing these as part of the workflow.
Hospitals are deploying AI tools broadly — but few have systematic ways to confirm those tools continue to perform as expected. EWOCS helps you close the loop: it monitors the outputs of AI over time, allowing you to detect performance drift, anomalous responses, and data quality issues.
Because EWOCS records every AI agent input and output within a deterministic workflow, EWOCS can automatically compare agent output with ground truth. Integrated data collection and interrogation tools help detect and correct problems systematically — not reactively after harm occurs.