Medal

A HEALTH DATA REFINEMENT AND RESTRUCTURING PLATFORM
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ABOUT MEDAL

Medal specializes in turning raw, unstructured patient data into structured data that can be used to provide better care for patients through contextual and accurate categorizations through their biomedical Natural Language Processing (biomed-NLP).

 

It was announced on July 28, 2020 that Medal was acquired by Ciox.

MY ROLE

I was brought onto the team to:

  • Redesign their annotation tool

  • Improve on their existing platform by designing new features with the VP of Product

  • Revamp their website and create branded marketing collateral

  • Create their API integration portal

THE PROBLEM

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Over 450 million faxes and forms are submitted by members and providers every year, often times with missing data. The cost of manual data entry when processing these documents are high:

Medical Errors: Bound to happen, human data entry errors are common. Patient test results and reports can have a myriad of data points, and when clinicians are making decisions in real-time based  they rely on those data points being accurate to correctly diagnose and treat patients. But if the reports were somehow incorrect or missed completely, it can threaten patient care drastically- medical error is the third leading cause of death in the U.S

High Administrative Costs: The act of manually processing documents, such as recording test results or submitting insurance claims or going through the whole prior authorization process, is physically demanding and time consuming. Time that could be spent on patient care is instead spent on processes that can be automated at a faster rate and with higher accuracy.

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THE SOLUTION

Using natural language processing, the Medal Platform would translate extracted data from sources (faxes through Medal Print, file uploads from Medal App, or through relational databases), and turn that data into something usable by 3rd party applications, forms, and analytics.

When translating medical data, it was important to not only be accurate, but to capture context in which that data was read.

 

Case Studies

A SHOWCASE OF MY WORK AT MEDAL
The Annotation Tool

Medal's Annotation Tool, a key selling point for the platform and an easy-to-use tool for clinical annotators and clinicians to rapidly identify patient data and context.

Patient Matching

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A New Brand

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