eLAS® engages patients through straightforward, efficient, and reliable direct data capture enabling data corrections during patient visits.
Facilitating SLE Clinical Trials
Systemic Lupus Erythematosus (SLE) clinical trials are complex.
The use of multiple questionnaires, each with different scoring systems, can complicate and confuse data collection and analysis.
Clinical ink has developed a fit-for-purpose Electronic Lupus Assessment Suite (eLAS®) of tools that facilitate data collection and patient engagement and ensure SLE research is straightforward, efficient, and reliable.
Solving the Complexity of SLE Trials
Information gathering to understand human immunology and, particularly, how lupus affects each individual patient is critical. However, Lupus research today uses multiple questionnaires, often duplicative using different symptom-scoring criteria. Those hinder patient participation, data quality, and clinical trial outcomes.
Using eSource technology, Clinical ink solves the complexity of SLE trials by deploying Direct Data Capture (DDC) technology. DDC enables information sharing between forms, and displays prompts that clarify the proper evaluation methods for each particular questionnaire.
Leveraging DDC, the Clinical ink Electronic Lupus Assessment Suite (eLAS®) has set the standard for data collection in Lupus research by integrating the most-often used diagnostic questionnaires (BILAG, SLEDAI, CLASI). Designed to be applied during the patient visit, eLAS® delivers an intuitive interface and the ability to display data from previous visits. When the visit is complete, so is the documentation.
Designed to be applied during the patient visit, eLAS® delivers an intuitive interface and the ability to display data from previous visits. When the visit is complete, so is the documentation.
- Easily capture data, online or offline
- Connect data that matters, including unstructured supporting data
- Validate data at the time of capture
- Pre-program workflows and study processes to ease site burden
- Reduce workload and improve data quality
- Share data and reports immediately, across the study team
- Optimize decision making