SOMERSET, N.J, Dec. 13, 2017 (GLOBE NEWSWIRE) — MTBC (NASDAQ:MTBC) (NASDAQ: MTBCP), a leading provider of cloud-based healthcare IT solutions and services, presented its state-of-the-art Intelligent EHR Coding Solution at the Machine Learning for Health Workshop at the 2017 Annual Conference of Neural Information Processing Systems (NIPS 2017). NIPS 2017, which was attended by thought leaders in artificial intelligence from visionary institutions such as IBM, Google, Microsoft, Amazon, Tesla, Stanford, Harvard, MIT and Carnegie Mellon, was held on December 4 – 9, 2017 in Long Beach, California.
“Big data analytics and machine learning are revolutionizing the healthcare industry and we’re pleased that our team is on the forefront of these trends,” said Sibt ul Hussain, Ph.D., a member of MTBC’s data science team and one of MTBC’s presenters at NIPS 2017. He continued, “Our research paper entitled, “Intelligent EHRs: Predicting Procedure Codes from Diagnosis Codes” described a deep learning based artificial intelligence method for automating procedure coding. The presentation was well received and it provides a roadmap that will ultimately improve the timeliness and accuracy of the code selection and claim submission for our user base.”
NIPS 2017 was the 31st annual conference of the Neural Information Processing Systems Foundation, which exists to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The annual NIPS conferences bring together data scientists from leading companies and academic institutions to participate in workshops and share knowledge. MTBC’s data science team was represented at NIPS 2017 by Dr. Hussain and Rameel Ahmed.
MTBC is a healthcare information technology company that provides a fully integrated suite of proprietary web-based solutions, together with related business services, to healthcare providers throughout the United States. Our integrated Software-as-a-Service (SaaS) platform helps our customers increase revenues, streamline workflows and make better business and clinical decisions, while reducing administrative burdens and operating costs. MTBC’s common stock trades on the NASDAQ Capital Market under the ticker symbol “MTBC,” and its Series A Preferred Stock trades on the NASDAQ Capital Market under the ticker symbol “MTBCP.”
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