Addressing Data Bias through the Lens of Hidden Figures

The critical issue of data bias, its historical impact, and profound implications in the healthcare landscape is of top concern for tech leaders in a data-hungry industry. Highlighting the disparities between the affluent and disadvantaged, including the economic repercussions of resource scarcity in healthcare, the consequences of data bias are dire. Knowing how to build a workforce dedicated to ethical programming, particularly with the emergence of AI, be the difference between enhanced care delivery or damaging consequences. Explore how clinical decision support systems (CDSS) play a pivotal role in combating bias using evidence-based, unbiased guidance, and recommendations. The intersection of data bias, curation capabilities, and ethical programming need a close examination. Health data experts will emphasize the magnitude of data consistency, real-time reporting and alerting to where providers may deviate from established recommendation, as well as the importance of thoughtful vendor selection.