Case Study: Multinational Hospital Chain achieves 14% higher profit margins with Quantzig predictive analytics

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Preview of the Multinational Hospital Chain Case Study

Healthcare Predictive Analytics Helps in Increasing Profit Margins by 14% for a Hospital Chain

Multinational Hospital Chain, one of the largest and fastest growing hospital networks across the USA and Canada, worked with Quantzig to address growing data complexity across disparate healthcare sources. The organization needed a better way to predict and prevent hospital acquired conditions (HACs) and healthcare associated infections (HAIs), support more accurate clinical decision-making, and identify abuse and fraud in medical insurance claims.

Quantzig implemented a healthcare predictive analytics and predictive modeling solution using AI, ML, IoT, and advanced algorithms, along with a predictive dashboard for doctors and healthcare workers. The solution helped the hospital chain improve decision-making, detect fraudulent patterns, and predict HACs and HAIs, leading to more than 80% prevention of HACs and HAIs, enhanced service quality, and a 14% increase in profit margins.


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