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A custom generative pretrained transformer (GPT) model accurately calculates Joint Knowledge, Skills, and Abilities (JKSA) scores from clinical workload data. This AI approach enhances military readiness assessment by making JKSA scoring more accessible.

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Area of Science:

  • Artificial Intelligence in Healthcare
  • Clinical Informatics
  • Military Health Systems

Background:

  • Joint Knowledge, Skills, and Abilities (JKSA) scoring is vital for military readiness but requires specialized data analysis skills.
  • A gap exists in the widespread availability of expertise for calculating JKSA scores.
  • This study addresses the need for a more accessible method for JKSA scoring.

Purpose of the Study:

  • To develop and evaluate a custom generative pretrained transformer (GPT) model for calculating JKSA scores from clinical workload data.
  • To compare the performance of the custom GPT model against traditional scoring methods.
  • To assess the utility of the GPT model in supporting military readiness assessment.

Main Methods:

  • Utilized de-identified clinical workload data from a military treatment facility (January-December 2023).
  • Developed and trained a custom GPT model for JKSA calculation using training and validation datasets.
  • Independently calculated JKSA scores, patient encounters, and procedure counts using the GPT model on a test dataset.
  • Quantified agreement between GPT and traditional SAS-based scoring using correlation coefficients (CC).

Main Results:

  • The GPT model demonstrated significant correlations with traditional methods for diagnostic (CC=0.92) and procedural (CC=0.76) JKSA scores.
  • GPT-calculated patient encounters (CC=0.98), procedures (CC=1.00), and critical care encounters (CC=1.00) showed strong agreement with SAS calculations.
  • The study identified key lessons in data management, prompt engineering, and cross-checking for successful GPT model implementation.

Conclusions:

  • A custom GPT model provides an accurate and accessible method for calculating JKSA scores from clinical workload data.
  • This AI-driven approach can enhance military readiness assessment by democratizing JKSA metric utilization.
  • Further validation is recommended across diverse datasets and user groups to broaden applicability.