Disparities in health outcomes represent one of the most challenging issues our healthcare system is currently facing. The development an equity dashboard in hospitals has been proposed as a solution to facilitate the identification of variations in outcomes, encourage accountability, and support ongoing monitoring. However, limited data, lack of data (including demographic attributes), and insensitive measures can render the development of equity dashboards challenging. In order to gain insights on potential variations in care, multiple sources of quantitative and qualitative data – including EMR documentation, incident reports, patient feedback, and various outcomes – need to be linked and leveraged to create a broader understanding of clinical systems inequities. Using maternal care as a case study, this project will utilize incident report data, patient experience data, and outcome data to develop an equity dashboard that can be used to inform decision-making.

The responsibilities of the student will be as follows:

• Complete TCPS 2.0 Research Ethics Training
• Review literature on maternal mortality and disparities
• Conduct statistical analysis on disaggregated data to identify differences in outcomes and narrow down outcomes of interests – SMM indicators, adverse events, process measures
• Assist with developing and evaluating predictive models based on patient characteristics and social vulnerability indices
• Conduct data preprocessing
• Train and evaluate different modelsAssess fairness
• Utilize explainable artificial intelligence techniques
• Design and test an interactive dashboard of the outcomes (in Python, Tableau, or Power BI)
• Develop visualizations that meaningfully convey potential disparities in care and outcomes
• Incorporate XAI explanations as necessary to support transparency
• Conduct usability testing to iterate design
• Compose abstract of the findings
• Present research at UnERD conference