Africa: Frost & Sullivan Applauds Hindsait for Pioneering Healthcare-Centric Artificial Intellig

Mountain View, California — Hindsait's AI platform identifies and extracts actionable data from information trapped in clinical notes and other electronic records for improved patient outcomes at lower costs Based on its recent analysis of the market for artificial intelligence (AI) systems for the healthcare industry, Frost & Sullivan recognizes Hindsait, Inc. with the 2016 Global Frost & Sullivan Award for Visionary Innovation Leadership. Hindsait has demonstrated a strong commitment to breaking down communication barriers and enhancing healthcare delivery using AI and cognitive computing technology. With its novel software-as-a-service (SaaS) platform, Hindsait helps payers reduce costs and improve the quality of services while simultaneously enabling healthcare providers, such as accountable care organizations (ACOs) and hospitals, to reduce risks and offer superior, more affordable care.

Although there are organizations that apply AI and cognitive computing in healthcare, many of them simply adapt approaches applied in other industries to healthcare. Hindsait, on the other hand, is dedicated to the needs of the healthcare industry.

"Hindsait's main goal has been to develop a robust, AI platform that specifically addresses the needs of healthcare organizations," said Frost & Sullivan Research Analyst Harpreet Singh Buttar. "This platform assists in reducing unnecessary health services, eliminating errors and biases in care delivery and improving overall quality of care."

Hindsait's system has proven to be highly adaptable and scalable, based on unique use case requirements. Their capabilities range from natural language processing (NLP) and machine learning to cognitive computing and predictive analytics that directly helps providers and payers resolve healthcare delivery issues.

Hindsait boasts a wide range of services, right from analyzing unstructured data, such as clinical notes, patient charts, and prescriptions, to real-time optimization of diagnostic and treatment plans. Providers and payers employ Hindsait's SaaS platform to address both administrative and clinical decision-making, which are consistent, auditable and error-free.

The SaaS platform is remarkably easy to integrate with providers' and payers' existing systems and has an adjustable level of autonomy from a client's normal data and communication workflows. First, Hindsait's platform effectively ingests clinical documents across a broad range of formats and structures. It then identifies, rationalizes and extracts clinically relevant data which it turns into actionable intelligence drastically improving the efficacy of Hindsait's clients' businesses.

For instance, within the realm of utilization management (UM), Hindsait's SaaS platform scores incoming prior-authorization requests for numerous diagnostic procedures such as magnetic resonance ima