Hindsait Achieves HITRUST CSF Certification to Manage Risk, Improve Security, and Meet Compliance Requirements
HACKENSACK, N.J., May 11, 2020 (Newswire.com) - 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®.
HITRUST CSF Certified status demonstrates that Hindsait’s AI-enabled pre-service clinical reviews (Prior Authorization) and post-service audit (Payment Integrity Audit) solution has met key regulations and industry-defined requirements and is appropriately managing risk. This achievement places Hindsait in an elite group of organizations worldwide that have earned this certification. By including federal and state regulations, standards, and frameworks, and incorporating a risk-based approach, the HITRUST CSF helps organizations address these challenges through a comprehensive and flexible framework of prescriptive and scalable security controls.
“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.”
Hindsait, Inc. (Hindsait), headquartered in New Jersey, is a technology company focusing on healthcare. Hindsait’s Artificial Intelligence (AI) technology - Software as a Service (SaaS) includes a sophisticated Clinical Natural Language Processing (CNLP) platform and Robotic Process Automation (RPA) toolset. The AI platform enables Payers and Benefit Managers to reduce unnecessary health services, human errors, biases, wastage, and fraud, by augmenting Pre- as well as Post-service Medical Necessity reviews and audits. Hindsait’s capabilities begin with its ability to ingest and translate “unstructured free text” and semi-structured text (e.g., outputs from electronic medical records) in patient charts within the context of clinical guidelines and business rules. The AI platform’s RPA toolsets, along with its CNLP, enabled extractions to drive machine learning and predictive analytics. Hindsait’s AI algorithms can quickly sift through thousands of pages of medical records and evaluate, score, and accurately predict the medical necessity of diagnostic tests, procedures or medications during pre-service as well as post-service medical necessity reviews and recoupment audits, saving the health plans several tens of millions of dollars cost of care savings, besides administrative review costs.
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Source: Hindsait, Inc.