A leading company in practical artificial intelligence (AI) and pre-built machine learning (ML) models, ElectrifAi, announced its collaboration with Temple Health. Temple Health is a leading Philadelphia-based academic health system that drives medical advances through clinical innovation, pioneering research, and world-class education.

Temple Health will be utilizing ElectrifAi’s pre-built machine learning models for spends and contract to drive operational efficiency, spending control, cost savings, increased revenue, and risk reduction.

ElectrifAi holds 17 years of practical machine learning experience concerning spending analytics, customer/patient engagement, contract management, and machine learning models. All these factors will help optimize and improve the operations while working for Temple Health.

Edward Scott, CEO of ElectrifAi, said: “For years, our customers in financial services, telecommunications and retail have been leveraging practical machine learning. It was only a matter of time before we integrated pre-built machine learning models into the healthcare environment. The healthcare community can now accelerate their machine learning efforts with our solutions to drive revenue uplift, cost reduction as well as profit and performance improvements in today’s fast-changing business climate.”

“ElectrifAi’s advanced technology will significantly facilitate efficient contracting and financial accounting for Temple Health, with increased data-driven granularity,” said Michael A. Young, MHA, FACHE, President and CEO of Temple University Health System and Temple University Hospital. “We look forward to a productive working relationship.”