There is a dearth of measures which evaluate reading comprehension in people with traumatic brain injuries returning to secondary level education. Existing standardized assessments do not accurately measure constructs of high level reading comprehension. Correct information unit (CIU) analysis can be a valuable tool for measuring reading comprehension in these more demanding contexts. However, the measure requires a significant amount of time to administer and score, leading practicing clinicians to use other measures. This exploratory project sought to fill the gap by increasing the clinical feasibility of CIU analysis. Researchers implemented a human-in-the-loop automation of CIU scoring. A within rater comparison across three raters design was utilized to evaluate if the automation provided an increase in efficiency versus by hand scoring. Findings indicate a trend of increased efficiency across raters which was not statistically significant. This thesis supports further studies to continue development of the automated application of CIU analysis.