Anyone who has collected cases for algorithm development will tell you that it is fraught with challenges. Just getting the attention of medical clinics is hard enough, but arranging contracts, negotiating pricing, and poring through pages of
security questionnaires can be too much.
maiData has solved the problem by prearranging data collection so you don't have to. Our software and processes are seamlessly integrated into clinical workflow,
so case collection happens without interrupting normal daily practice.
ExtractData is designed to offload your team so you can focus on the important work you do. Whether developing AI algorithms or performing large clinical trials, ExtractData will streamline your processes and save your staff valuable time.
Because maiData has already created a clinical network, there is no time delay for data collection. Once we understand what you need, we can start.
maiData's broad clinical network provides a rich diversity of data that can help your AI algorithms generalize better than ever before.
A maiData ExtractData Specialist is assigned to help you through the requirements process:
1. Gathering your Data Requirements (images, metadata, reports)
2. Defining any dependencies (E.g., mammography only if density D)
3. Outlining your Diversity Goals
We then search our clinical sites for data that matches your Data Requirements, aligning as much as possible with your Diversity Goals, after which we collect, pseudonymize and deliver DICOM images and JSON metadata, including reports.
The amount of data available to maiData simply grows and grows.
maiData is working hard to add more clinics to our network, and each time we do, the depth and breadth of data increases.
Each new clinic brings not only its own array of historical data, but also newfound capacity to create new data. Combined with our existing network, the amount of data continually increases.
Tell us the type of images you are looking for, and we will seek them out. maiData can provide imaging studies, large and small, from Chest X-rays to high resolution digital breast tomosynthesis studies.
Sometimes images aren't enough. maiData is able to collect additional metadata that put the images into context. If the data is available in electronic form, we can generally get it.
maiData can provide the medical reports that help you understand the richness of data in the images. Reports, after all, are usually the source of truth for training A.I algorithms.
Our data is drawn from maiData's growing network of clinical facilities.
maiData provides a picture of the racial and ethnic diversity for A.I. developers to help guide collection of data that may lead to better algorithm generlization.
Socioeconomic status influences access to healthcare and most likely introduces bias. maiData helps you understand the environmental conditions captured in ExtractData data sets.
Geographic diversity help mitigate the unintended bias that comes from collecting data in a small number of locations.
maiData catalogs the data available in our network, allowing real-time analysis of the breadth of data on hand.
Software pulls and pseudonymizes your requested studies and uploads them to a secure repository in the cloud ... just for you.
After the data is collated, maiData will work with you to deliver the data. As data volumes for one collection can exceed 50TB, this takes some special tricks!
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