MediCollector is now available on the NI Tools Network, a library of software tools and applications that are certified by National Instruments, the creators of LabVIEW.  

Getting listed on the NI Tools Network is like a stamp of quality from such a trusted company as NI.  Each piece of software on the NI Tools Network is thoroughly tested and certified by NI, and we are proud to be a part of their network.  

Do you need to get data from a patient monitor into your EMR? This is part of a challenge known as Medical Device Integration (MDI) in hospitals. 

Using HL7, MediCollector can now be your MDI solution by functioning as a "middleware" to transfer data from medical devices into hospital information systems (HIS) such as electronic medical records systems (EMR / EHR).
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Wow, that's a lot of buzzwords!  If you're looking to get data from your patient monitors into your EMR, MediCollector can now do this using HL7.

If you need help with MDI, please see our MDI solutions, or contact us.

This product is designed for customers who want to continuously stream and/or record medical device data in the background.  By using MediCollector SERVICE, you don't need to worry about the complex communication protocols and cabling requirements for each individual device.  Simply embed MediCollector into your system, and let it run invisibly in the background.  It runs as a Windows Service, so it will launch when the computer starts up, run continuously, and automatically recover from errors for uninterrupted data streaming.

This command line interface is designed for software developers who want to quickly and easily query/poll a medical device for live data.  Data is immediately outputted to a simple text file.  It can be scripted or automated to run frequently (every 10 minutes?) to create a simple database of live data over time.  

MediCollector would like to congratulate the team of researchers from the University of Canterbury in New Zealand and Monash University in Malaysia for their paper at the International Federation of Automatic Control's 10th IFAC Symposium on Biological and Medical Systems BMS 2018.  This team used MediCollector to gather data for their study of lung mechanics in preemies.  We wish them continued success in their work!  The full text of their publication is available using the link below.