# Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities

## TL;DR

This paper calls for collaboration between health information professionals and computational tools to address health disparities and promote equity.

## Contribution

The paper introduces a new call to action for integrating computational biomedical knowledge with health equity research.

## Key findings

- Health disparities are exacerbated by structural racism and require computational approaches for solutions.
- Collaboration across disciplines is essential to mobilize biomedical knowledge for health equity.
- AI and machine learning can be leveraged to address health inequities if guided by equitable research.

## Abstract

The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color. Health equity has subsequently emerged as a priority. Recognizing that the future of health care will be informed by advanced information technologies including artificial intelligence (AI), machine learning, and algorithmic applications, the authors argue that to advance towards states of improved health equity, health information professionals need to engage in and encourage the conduct of research at the intersections of health equity, health disparities, and computational biomedical knowledge (CBK) applications. Recommendations are provided with a means to engage in this mobilization effort.