Scottsdale, Ariz.-based Magellan Health has selected Hindsait’s artificial intelligence and predictive analytics technology to increase its clinical quality and outcomes. Also, Megallan hopes to use the technology to identify potentially unnecessary health services during the review process, and improve consistency and productivity for Magellan’s care reviewers.

“We worked with Hindsait for more than a year to fine tune the particular application of predictive analytics that would enhance our efficiency without compromising quality,” Laurel Douty, COO of Magellan Healthcare, said in a statement. “We are continually finding innovative ways to deliver better care at lower costs, and look forward to working with Hindsait and others in this developing area.”

Hindsait’s platform starts with its ability to ingest and translate physicians’ “free text” in patient charts within a context of clinical guidelines and regulatory requirements. With these inputs, the machine learning and predictive analytics in the platform can evaluate, score and flag patient charts for specific actions. This is in turn helps physicians, health insurance plans and other healthcare payers and businesses to prevent more unnecessary services, correct missed preventive care opportunities, speed up provider quality reporting (HEDIS and STAR ratings) and more.

On its end, Magellan Health develops solutions that combine advanced analytics, agile technology and clinical excellence to drive better decision making, positively impact health outcomes and optimize the cost of care. Its customers include health plans and other managed care organizations, employers, labor unions, various military and governmental agencies and third-party administrators.