Healthcare Quarterly

Healthcare Quarterly 23(3) October 2020 .doi:10.12927/hcq.2020.26334
Healthcare Governance

Measuring Boards Using Quantitative Tools from Natural Language Processing

Lewis Hooper

Abstract

Natural language processing (NLP) tools provide quantitative methods to analyze board minutes and better understand and measure the work of the board. Techniques such as riverbed graphs and sentiment analysis provide objective, measurable information about key areas (finance, quality, compliance) that boards focus their attention on. By comparing the key focus areas between different hospitals, this paper demonstrates that NLP tools can provide a robust and reproducible way in which boards can measure their progress toward the betterment of their goals, objectives and responsibilities for both peer-to-peer and internal comparisons.

 

Comments

Be the first to comment on this!

Note: Please enter a display name. Your email address will not be publically displayed