Transforming Information capture
One of the 5 challenges for this Hackathon was centered around embedding accessibility into healthcare solutions
Why this matters?
Approximately 15% of the global population lives with a disability. Paper records or documents pose the same problem – the lack of digital optimization. When documents or records are added to a system of record, it lacks of usable data that can be utilized for further analysis.
Take blood tests for example, when uploaded it lacks of metadata. Imagine if you could turn the results of a blood test into usable metadata, you could transform that data and create tagging structures, new libraries for analysis and more.
A lot of data captured sits unstructured in large data lakes, transforming a lot of that data using complex meta data tagging structures can expose the static text data in a document to become something meaningful.
The ask:
We asked participants to build a solution that can capture, uber ingest and transform documents. Participants were encouraged to combine this challenge with any or all of the other challenges to create uber solutions that can address multiple healthcare challenges. We had a few submissions that went the extra mile to create solutions that utilized this challenge as a starting point and transformed the data captured into workflows for practitioners or for results and analysis. Head over to the winners page to read about the winner's solution.
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