HACKENSACK, N.J., May 31, 2017 /PRNewswire/ -- Hindsait, Inc. a leading provider of Artificial Intelligence (AI) solutions for the Healthcare Industry, today announced that it has been named in the "Cool Vendors in AI in Healthcare, 2017" report by Gartner, Inc. (Published: 15 May 2017ID: G00326265 by Gartner Analyst(s): Laura Craft, Jeff Cribbs, Thomas J. Handler, M.D.)
The Gartner report notes: "Artificial intelligence (AI) is the newest theme across healthcare analytics vendors. In truth, there are very few vendors actually at this tier of analytics, but those that are at this tier are using AI to advance the accuracy and precision in care delivery and outcomes."
"Gartner is one of the most trusted voices in research and analysis, and it is such an honor to be named a Gartner 'cool vendor' in AI in healthcare for 2017," said Pinaki Dasgupta, Founder and CEO of Hindsait, Inc. "We consider our inclusion in the Cool Vendors 2017 report recognition of our leadership in the prevention of unnecessary health services, human errors, biases and abuse. We believe this designation validates our commitment to bring consistency and reliability in clinical and administrative decision-making through Hindsait's pioneering AI technology, which is a combination of NLP, machine learning plus powerful predictive analytics."
Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Hindsait maximizes the effectiveness of clinical management, recovery audit and fraud, waste and abuse programs.
Hindsait's artificial intelligence (AI) platform enables payers and ACOs to improve quality of care and reduce unnecessary services, human errors and biases. The SaaS platform turns AI, predictive analytics and big data into (high ROI) healthcare business solutions. Hindsait's brilliance starts with its ability to ingest and translate physicians' "unstructured text" in patient charts within a context of clinical guidelines and regulatory requirements. These inputs drive machine learning and predictive analytics that evaluate, score and flag patient charts for specific actions. With Hindsait's help, payers, providers and payment integrity organizations can maximize prevention of unnecessary services, correct missed preventive care opportunities, drive optimized care pathways — and much more.