Mobile Information Solutions for Life Sciences, Clinical Trials, and Pharma
Reduce queries and redundant data-entry and speed trial completion with user-friendly mobile information solutions for mission-critical business processes from Mi-Co.
By automating source data collection processes, Mi-Forms mobile forms solutions deliver greater accuracy and near real-time availability of clinical data. Mi-Forms applications in clinical research include eCRFs, Site Monitoring and Visit Reports, ePRO, SAE Reporting, Direct eSource Generation, and Adaptive Trials.
Major benefits include improved efficiency, lower costs, higher accuracy, and better availability of data for:
- Electronic Case Report Forms
- Site Monitoring and Visit Reports
- Electronic Patient-Reported Outcomes
- Serious Adverse Events Reporting
- Direct eSource Generation
- Adaptive Trials
Mi-Forms is FDA 21 CFR Part 11 compliant and Mi-Co has passed audits by several global Life Science companies.
With powerful real-time handwriting recognition and business logic capabilities, Mi-Forms mobile forms solution provides users with an easy, natural system for collecting accurate and complete electronic data immediately at the source of data generation – online or offline. This data can be available to existing backend CTMS and EDC systems in near real-time.
Mi-Forms features for Life Sciences, Clinical Trials and Pharma:
- Works with many devices, including iPads, tablets, pens, etc.
- Works with your Database
- Flexible Form Design
- Touch-Friendly Forms
- Speech Recognition
- Handwriting Interpretation
- Photo Capture and Inking
- Intelligent Form Logic
- Online and Offline Collection
- Barcode Scanning, GPS Tracking and RFID
- Workflow and Audit Trails
- Your Business Rules
“Mi-Co’s technology is very exciting because it will make participation in clinical trials easier and more acceptable to very busy clinicians. The [Mi-Co] digital writing techniques we have been testing are much easier to use than a keyboard and mouse. In addition, these techniques will provide more accurate data because of the system’s ability to check for data errors throughout the process from data capture to data communication.” Dr. Etta Pisano, now Dean of MUSC College of Medicine, while at University of North Carolina