Improving Computational Usability of Unstructured Pilot Medical Certification Data

Horowitz, Charles

doi:10.21949/1528562

i

Improving Computational Usability of Unstructured Pilot Medical Certification Data

2023-06-01
By Horowitz, Charles

File Language:

English

Details

Creators:

Horowitz, Charles
Corporate Creators:

Mitre Corporation
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
Subject/TRT Terms:

Air Pilots Aviation Safety Certification Medical Examinations And Tests
Publication/ Report Number:

DOT/FAA/AM-23/22
DOI:

https://doi.org/10.21949/1528562
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
Abstract:

Current Federal Aviation Administration's Office of Aerospace Medicine (AAM) operations include scanning paper documents received from various third‑party medical providers to support individual pilot medical certification decision-related matters. These operations lack analytic tools, resulting in a time-intensive effort by subject matter experts to manually search through document sets to find relevant information. MITRE applied human language technologies to a sample set of AAM documents containing unstructured pilot medical certification data. MITRE demonstrated that third-party documents received and scanned by AAM could be automatically classified through a combination of computer vision and human language technologies; demonstrated that these documents can have their content extracted with sufficient accuracy to enable fundamental automation and human support tasks including summarization, search, and de-identification; identified aspects of the documents that present risk to future systems development; and produced a prototypical integrated document processing software pipeline ca tion, and indexing to support basic search as an initial application.
Format:

PDF
Funding:

693KA8-22-C-00001
Collection(s):

FAA Civil Aerospace Medical Institute
Main Document Checksum:

urn:sha-512:67566cc2e98c3a4861b46e44dca41bf04b091aeefb396a8e8267ecc809f25bff96241d2fa08f5e3859f02acfcda323a7ddcf4a2ff01628762a234d0a9505ae1b
Download URL:

https://rosap.ntl.bts.gov/view/dot/70416/dot_70416_DS1.pdf
File Type:

[PDF - 571.86 KB ]

File Language:

English

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