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KenSci Wins Gartner and Microsoft Awards for Its AI-Powered Predictive Healthcare Platform

KenSci, an AI-powered provider of predictive solutions for hospitals and healthcare centers, has been named a cool vendor in the Gartner report “Cool Vendors in Enterprise AI Governance and Ethical Response” (October 2019). Earlier this year, the company was recognized by Microsoft as a finalist of their Health Partner of the Year Award and winner of the Health Information and Management System Society (HIMSS) Innovation Award, both for the second year in a row.

The three-year startup grew out of research at the University of Washington Center for Data Science and recently attracted $22 million in Series B funding. Its platform, powered by machine learning, is used by the CDC, Madigan Army Medical Center, Rush University Medical Center, the NHS in the UK, and other leading healthcare providers and payers to identify clinical, financial, and operational risks and to save costs and lives.

The platform is built using Azure Machine Learning, SQL, and Power BI. It ingests data across a range of sources, formats, and infrastructure, including wearables, medical devices, and legacy electronic medical records and claims. KenSci automates data integration for machine learning, runs on infrastructure-agnostic containers, and provides customizable apps as well as development tools and software development kits (SDKs) for clients to build their own apps. KenSci claims to provide return on investment in 12 weeks.

Courtesy: KenSci Platform Overview

Our Take

The machine learning models used to power these apps seem to be able to generate explanations and provide transparency into what is usually supplied as a black box, which helps mitigate risk and ensure compliance and trust. Transparency and explainability are hot topics in AI and machine learning, especially in sensitive verticals such as healthcare. We congratulate KenSci on the awards and commitment to building transparent and explainable AI.

If you are a hospital or healthcare provider (or payer) looking to add data-led predictive insights to improve patient care, decrease risks, and improve operations, take a look at this smart start-up well-positioned for continued growth and success.