Moberg App Store & MoApps
The Apple App Store and Google Play Store have led to the development of mobile software at an unprecedented rate. Many of these apps impact our life day to day, and it would be difficult to imagine a world without them. When designed well, app stores allow people from all around the world to collaborate in the development of technology with the intention of distributing them to a diverse international audience. By parallelizing development efforts on a single platform, more can be done with less, which is exactly what is needed to make rapid technological progress.
Due to a strong request, our team at Moberg Analytics has decided to develop the Moberg App Store to host MoApps. These apps are highly focused on neurocritical care, specifically for clinical management of acute brain injury. We have many apps under development with a variety of clinical, research, and industry partners. More importantly, we see this as a mechanism for research to “cross the chasm.” Too often, we have witnessed novel, innovative projects fall off a cliff when funding runs out—the Moberg App Store provides a mechanism for individuals to deploy their algorithm or concept alongside the rest of the neuromonitoring ecosystem for real-time validation. This also provides a vehicle to share research with other users whether on the cloud for a clinical trial or from within a hospital.
Some apps are being developed internally by our team and others are being developed by our partners. We’ve developed a software development kit that outlines what is needed for third-party integration. Our pilot clinical sites will have access to these apps as they become available for beta testing. This feedback will be instrumental as our app store matures. For instance, we have integrated Dr. Jed Hartings’ cortical spreading depolarization detection algorithm for real-time use (OpenSD), and the University of Cincinnati Medical Center neuro ICU will be one of the first testing sites. This is just one example of over 20 apps that we are planning to release over the next year:
Below is another example of a simple app that displays protocol adherence to basic thresholding guidelines shift-to-shift. This is completely customizable, allowing the user to configure which measurements are shown and what thresholds are used for determining how well the patient was managed. We are also experimenting with the use of the shift selector in the other apps we are developing to aid in the process of nursing handoffs.
If you are interested in contributing to either the development or validation of MoApps, feel free to reach out to us at info@moberganalytics.com.
