Healthcare is increasingly turning to AI models for patient engagement, emphasizing the importance of clean CRM data. The UK NHS warns that poor data quality can introduce biases and inaccuracies. Revenue streams and valuable initiatives are impacted by low-quality CRM data, prompting the need for improved data cleaning and harmonization.

Rachel Mak-McCully of Unlearn.AI stresses the significance of clean CRM data for AI models in healthcare. Fragmented data, missing or stored inconsistently, poses challenges in data cleaning. Standardizing data columns and units is crucial for training accurate AI models. Emphasis on understanding and improving underlying data for effective communication and use in healthcare is key.

Read more at Yahoo Finance: Clean and harmonised CRM data vital for AI model training