The development and implementation of a new hospital performance measure to assess hospital contributions to community health and equity.

Objective: To develop and implement a measure of how US hospitals contribute to community health with a focus on equity.

Data Sources: Primary data from public comments and hospital surveys and secondary data from the IBM Watson Top 100 Hospitals program collected in the United States in 2020 and 2021.

Study Design: A thematic analysis of public comments on the proposed measure was conducted using an iterative grounded approach for theme identification.

Health Care Equity in the Use of Advanced Analytics and Artificial Intelligence Technologies in Primary Care.

The integration of advanced analytics and artificial intelligence (AI) technologies into the practice of medicine holds much promise. Yet, the opportunity to leverage these tools carries with it an equal responsibility to ensure that principles of equity are incorporated into their implementation and use. Without such efforts, tools will potentially reflect the myriad of ways in which data, algorithmic, and analytic biases can be produced, with the potential to widen inequities by race, ethnicity, gender, and other sociodemographic factors implicated in disparate health outcomes.

Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19.

Objective: To develop a conceptual model and novel, comprehensive framework that encompass the myriad ways informatics and technology can support public health response to a pandemic.

Method: The conceptual model and framework categorize informatics solutions that could be used by stakeholders (e.g.