I am happy to say we are going live with CoreLab this week - allowing a team of about 20 to collaborate remotely and work on the same data and manage in structured fashion.
Created with LiveCode and supported by LiveCloud as a back end database, CoreLab was created to fulfil essential functions required for a multi-centre medical research trial. The app is going live this week after an extended period of testing. This app keeps track of all studies received by the core lab, the centres participating in the study with basic CRM, allows admins to administer the the cardiac imaging received and users to analyse these studies with ease.
Using LiveCloud as a backend data store, the data is accessible from any location on any mac/pc and all data is synchronised withe cloud. Using LiveCode’s geometry manager the interface can cater for a wide variety of machines/screen resolutions with ease. LiveCloud facilitates secure login with secure ‘forgot password’ and ‘change password’ features.
Broadly speaking the app is split into 4 interfaces:
Admin interface (admin access only)
- Administer all users
- Administer all studies
- Adding a study assigns a randomised ID for each stage
- Keep track of all centre data with build in facility to email the designated contacts
- Keep track which subjects have missing studies, incomplete or complete analyses with a simple color code in a data grid and quick filters for each.
- Allocate studies to users, which keeping tally of how many studies are allocated to each reader
- Designate studies for inter-observer analysis to be analysed by all readers
User interface (admin and user access)
- shows each user what studies are allocated for analysis
- Easily filter ‘complete’, ‘in progress’ and ‘not started’ analyses, or search for a particular randomised ID
Analysis interface (admin and user access)
Facilitate easy and standardised data entry (using point-and-click as much as possible) to track 35 variables to be filled in by each reader as quickly and easily as possible.
For example representing graphically a region of the heart and allocating a score, instead of filling in a digit between 1 and 4 for each of the 16 segments of the left ventricle.
Database interface (admin access only)
- Import data and allocate randomised IDs as needed
- Edit data in a tabular format and sync with cloud
- Export data to TSV file or copy to TSV
- Reset analyses or entire database
CoreLab greatly simplifies and streamlines a number of tasks performed by the many people involved with this study and could be rapidly developed with LiveCode.