Case Study: MySphera achieves faster patient length-of-stay predictive modeling with Xpanse AI

How Xpanse Helped MySphera Automate Data For Improved Healthcare

MySphera, a leading health technology company, faced a significant challenge in automating the prediction of patient Length of Stay (LOS). The company was receiving disorganized and inconsistent healthcare data from various sources, which took their team weeks to manually reshape into a predictive format. This inefficiency prevented them from building the crucial models needed to improve hospital resource planning and patient outcomes.

Xpanse AI implemented its automated data science platform to process MySphera's raw and messy data directly. The solution generated the first predictive model in less than an hour, a task that previously took weeks. This allowed MySphera to quickly build granular models for different patient types, leading to a radical improvement in managing hospital resources and driving cost-effectiveness.

MySphera

Jordi Rovira

UK Technical Lead