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Hackensack, NJ, 05/11/2020 – Hindsait, a leading AI technology company for better healthcare, today announced that its AI-enabled pre- and post-service clinical review and audit platform has earned Certified status for information security by HITRUST®.

"With several leading Fortune 500 healthcare payers and providers entrusting us with their data, which represents more than 40 million patient lives across our solutions, we have invested significantly in ensuring that our security infrastructure meets the highest standards," said Pinaki Dasgupta CEO of Hindsait. "Hindsait's achievement of HITRUST CSF certification offers our clients confidence that we keep their members' health information protected."

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"It was the perfect storm of technological advances, market changes, and my family’s deeply personal health experiences," said Dasgupta. "With health-related companies capturing more information digitally, we were convinced AI approaches would revolutionize healthcare decision-making through evidence-based care."

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NEW YORK — SAP SE (NYSE: SAP) today kicked off its healthcare-focused accelerator program at SAP.iO Foundry New York.

The SAP.iO program is designed to accelerate startups working within healthcare: hospital system providers, employee health and wellness solutions, medical devices and health IT. SAP.iO will provide access to curated mentorship, exposure to SAP technology and application programming interfaces (APIs), and opportunities to collaborate with SAP customers to each of the seven early-stage startups chosen for the program.

"Hindsait offers a software-as-a-service (SaaS) platform that applies AI to large healthcare datasets, helping payors and providers improve patient health and reduce costs."

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What is your leadership mantra?

At Hindsait, we believe in a participatory leadership style in a non-hierarchical organizational setting, where each individual in the team is valued for her/his contribution and the subject-matter expertise s/he brings to the table. Given that the US healthcare system is very complex and for us to deliver a quality AI-led 'clinical decision support' platform to our clients, we adopt an 'all-hands-on-the-deck' approach to execute on our mission. On a typical day, Hindsait’s Data Scientists work closely with the clinical team consisting of Doctors and Nurses, along with the industry experts and business leaders to deliver a high-quality product – a product that enables efficient and consistent clinical decision-making, based on established clinical guidelines and protocols.

All Hindsait team members enjoy flexible work hours and may choose to work either from home or from a fixed workplace based on their personal preference and work-life balance. At Hindsait, there are no fixed work hours, no upper limits on the number of holidays one can avail, and no sign-up sheets to start or end the workday. We use cloud-based collaborative tools to communicate, share, and execute in real time. All our strategy sessions take place in faraway retreats, where we unwind, go together for a team hike, light a campfire under the open night sky to revisit and redefine our short-term and long-term goals and strategies every 6 months.

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Today Artificial Intelligence (AI) has proved its usability in almost every business industry including agriculture, manufacturing, retail, healthcare, IT etc. Since its inception, Hindsait, Inc., which applies AI technology in healthcare, has witnessed first-hand how AI has shaped the clinical cost management for health insurance companies and benefits managers. The team of Hackensack, New Jersey-based firm has experienced that AI has significantly enhanced cost-of-care savings by automating and streamlining an error-prone manual review process. They believe that AI has already delivered significant value in the healthcare industry by automating manual clinical necessity reviews and audits, and they have a long way to go with the AI technology.

"Unlike all the hierarchical organizations, Hindsait practices non-hierarchical organizational setting with a belief in a participatory leadership style. As a result, every individual team member of the firm is valued for their contribution and the subject-matter expertise they bring in. To deliver a quality AI-led 'clinical decision support' platform to its clients, Hindsait adopts an 'all-hands-on-the-deck' approach. On a typical day, the firm’s data scientists work closely with the clinical team consisting of doctors and nurses, along with the industry experts and business leaders to deliver a high-quality product that supports making an efficient and consistent clinical decision, based on established clinical guidelines and protocols."

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There is a 'perfect storm' brewing in the US Healthcare Industry, which is crying out loud for innovative solutions to bend the cost curve and improve the quality of care. There are three distinct elements in the 'perfect storm' metaphor in US healthcare: rising cost of healthcare - $3.2 Trillion in 2017 or 16.9% of GDP, the changing business model from Fee for Service (FFS) to Capitated payment model or Value-Based Care, and Digitalization of US Healthcare - as initiated by the HITECH Act in 2009.

"The team at Hindsait is a group of highly talented multi-disciplinary personnel consisting of Data Scientists, Physicians, Clinicians, Business Operators, and Technologists that came together to transform healthcare. This team collectively works towards the company’s vision which is to be the leading AI platform/clinical decision support system that can prevent unnecessary health services, over-utilizations, frauds, errors, abuses, and wastages."

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Gartner, one of the most trusted voices in research and analysis, has named Hindsait, Inc. a Cool Vendor in AI for Healthcare in a recently released report. 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."

"Hindsait," says Gartner analyst Jeff Cribbs, "distinguishes itself with its flexibility in connecting AI to existing operations and workflow applications. Real-time execution from an operational system can be invoked with an API call. Alternatively, a client-side analyst can invoke the Hindsait platform to do custom analysis around their immediate need."

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