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Parkland Health Seeks AI-Powered Medical Coding Solution

The solution must use AI to accurately assign medical codes by extracting data from medical documentation, such as diagnoses, lab data, patient demographics and more.

Two medical professionals working together on tablets and a laptop.
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The Parkland Health and Hospital System is setting out to streamline its claims process with an autonomous medical coding solution powered by artificial intelligence.

Parkland Health, also known as the Dallas County Hospital District, has more than 10,000 employees and sees more than 1 million total patient visits a year, handling 62 percent of all Dallas County trauma cases.

According to a request for proposals (RFP) released by the system, Parkland Health is searching for a scalable solution that is compatible with Microsoft Active Directory, integrable with Epic Electronic Medical Records and uses American Medical Association licensed data.

The solution must use AI to accurately assign medical codes by extracting data from medical documentation, such as diagnoses, lab data, patient demographics and more. A predetermined confidence threshold must flag accounts for human review when manual intervention is necessary.

The chosen vendor will be responsible for providing quality assurance, training and extensive analytics.

More detailed information about RFP-1744761, including all submission requirements and requests, can be found online. Questions regarding this RFP are due 3 p.m. Feb. 21. The due date for submissions is 3 p.m. Mar. 12. Baruh Bosch is the point of contact for this solicitation.
Chandler Treon is an Austin-based staff writer. He has a bachelor’s degree in English, a master’s degree in literature and a master’s degree in technical communication, all from Texas State University.