Determining SDH for Healthcare Provider using Google Tensorflow
The client is a reputed healthcare services provider operating throughout the U.S., partners with leading government bodies, regulatory authorities, hospitals, and life science companies. The clients’ key solutions include healthcare supply chain management, retail pharmacy and healthcare solutions, life science services, specialty care, among others.
The clients wished for a solution that can unearth critical insights from the raw pharmacy and hospital data and help determine social factors that significantly impact an individual’s health. For this, they were looking for a partner who could use A.I. and ML via natural language processing (NLP). The idea was streamlining data across the healthcare system to gauge the health service requirement for effective outcomes.
Msys Setup a team of DevOps Architects along with AI engineers to leverage Google TensorFlow with Neural Networks. The client realized improvement in quality of health care services, and a 13 percent reduction in cost of health care.
To understand our tailored approach including the factors that powered client’s expertise and brought unmissable insights on SDH, please download the case study.