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.
Hello medicollectors! In today's post, I provide some useful tips for running MediCollector for long periods of times... like for weeks, months or years. Some of these tips utilize little known features of MediCollector which are ideal for long-term sessions. To view these tips, please click the READ MORE link below.
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).
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.
MediCollector would like to congratulate the diverse team conducting the clinical study published recently in Pediatric Research titled "Pre-Vent: The Prematurity-Related Ventilatory Control Study". This large multi-site team is using MediCollector to gather data for their research in premature infants. Their publication can be accessed through the citation below.
Dennery PA, Di Fiore JM, Ambalavanan N, et al. Pre-Vent: the prematurity-related ventilatory control study. Pediatr Res. 2019;85(6):769–776. doi:10.1038/s41390-019-0317-8
Many of our customers have been asking us if MediCollector can communicate with GE Marquette Dash or Solar or Unity patient monitors. As of v1.1.11, all of our products can now communicate with this series of patient monitors. The only drawback is that these devices can only export numerics at a speed of 1 datapoint every 2 seconds (0.5 Hz). This means you can record/stream signals like HR and RR and SpO2 and NIBP, but you can't access waveforms like ECG and RESP. This is due to the bandwidth limitations of the device.
To see exactly which devices are compatible with MediCollector, see our list of supported devices.
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.
Tae Kim, Kyeong & Howe, Sarah & Chiew, Yeong Shiong & Knopp, Jennifer & Chase, James. (2018). Lung Mechanics in Premature infants: Modelling and clinical validation. IFAC-PapersOnLine. 51. 225-230. https://doi.org/10.1016/j.ifacol.2018.11.638.
A research team from the Wake Forest University School of Medicine in Winston-Salem NC recently published a manuscript in the Journal of NeuroInterventional Surgery detailing their successful research studying venous sinus waveform morphology. This team used the MediCollector BEDSIDE software for data collection of venous manometry data. For more details about their successful study and how MediCollector was used, you can access their publication here:
West JL, Garner RM, Greeneway GP, et al. Venous waveform morphological changes associated with treatment of symptomatic venous sinus stenosis. Journal of NeuroInterventional Surgery Published Online First: 21 March 2018. doi: 10.1136/neurintsurg-2018-013858
This blog provides all the latest news and updates related to MediCollector.
Founder of MediCollector