OpenSpecimen v4.1 Release
OpenSpecimen v4.1 has the following new features:Bulk delete of objectsExport of admin objects (to move data from test to production environments)Specimen list within containersLink collection protocol with distribution protocolOne-click distribution of specimensSupport for multiple ethnicities and clinical diagnosisSupport for participant level custom forms (i.e. global across all CPs)Detailed release notes: Click here
Developed with initial funding from Stanford University. Researchers can filter data, shortlist specimens of interest and submit requests for distribution or shipments.
Web based biospecimen catalog to share data with researchers. Researchers can browse, shortlist specimens of interest and request.
Rapid Data Entry
Developed with initial funding from University of Leicester and Stanford University, and enhanced by Krishagni based on adopter’s needs. Designed for your high throughput biobanks, to collect specimens via a series of barcode scans. Increase productivity by 80-90%.
Bulk Label Pre-print
Register participants in bulk (e.g. 5,10,100, etc) in advance and print specimen labels to ship to collection sites for prospective collections.
Collect specimens for animal based biobanks (e.g. mouse, canine, etc) and its associated data.
Developed with initial funding from SAHMRI (Adelaide) and enhanced by Krishagni based on adopter needs. Many biobanks do very simple collections and processes. E.g. just collect samples (single or batch) and track inventory.
Developed with initial funding from Stanford University and enhanced by Krishagni based on adopter needs. A dashboard consisting of one or more graphs that be configured for any collection protocol, site or at the system level. A dashboard consists of one or more dashlets (e.g. graph, number counter, etc) that be configured for any collection […]
Tissue Microarray (TMA)
Developed with initial funding from SingHealth (Singapore). Manage arrays, slides and its cores. Create custom forms linked with an array and collect annotations including images.
EPIC, Velos and other EMR
Integrate with EMR applications like EPIC, Velos, etc to register participants and consents at real time or nightly dumps.
Developed with initial funding from FIND Dx (Geneva) and enhanced by Krishagni based on adopter needs. Integrate with OpenClinica at individual study level to avoid duplicate data entry and query for samples for OpenClinica and OpenSpecimen together.
Developed with initial funding from Stanford University and further enhanced by Krishagni to generalize for other centers. Highlights: 1. Link a REDCap “Project” with an OpenSpecimen’s “Collection Protocol” 2. Pull all clinical data from REDCap and store in OpenSpecimen 3. Supports both longitudinal and classical REDCap studies Benefits: why integrate? 1. Productivity: Save time and avoid human […]