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Nolij Consulting (Nolij, pronounced u2018knowledgeu2019), a leader in federal and commercial IT healthcare and a fast-growing, woman-owned business, shares outcomes of the innovative, central role its versatile Artificial Intelligence (AI) platform has achieved in advancing business intelligence at the government agency level throughout the pandemic era and beyond.
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Nolij Consulting’s AI Platform a Health IT Game- Changer in the Pandemic Era Nolij Consulting, digital health consulting services and solutions, has been a leader in federal and commercial IT healthcare for over 10 years. They have helped multiple clients across the globe, including the U.S. Department of Veterans Affairs, New York City Health and Hospitals Corporation, and many more. With the advent of AI, Nolij Consulting, deals in application of AI and Robotics in healthcare industry, has already taken a giant leap in the healthcare business. They believe that their technology will change the way healthcare is offered to patients. Nolij Consulting’s AI platform helps healthcare providers carry out large-scale missions by using digital data and big data analysis. By augmenting and automating medical research, they believe their mission is to make sure that healthcare providers can do more with less time, effort, and resources. Nolij Consulting believes that its technology is a game-changer in the pandemic era. Their platform allows research groups to work faster and smarter by incorporating AI capabilities into their workflow for research purposes. It assists them in making decisions on how to find answers for health issues or provide better services through timely analysis. Nolij Consulting’s AI platform provides insights and recommendations on what to do next, which has led to increased participation in disease prevention and patient engagement campaigns. Key elements of the platform to drive uniqueness and powerful: • The use of heavy Natural Language Processing (NLP) to go beyond the capabilities of AI • Deep learning algorithms with the ability to translate structured and unstructured text into usable language and data points • Custom-built fields to handle and process acquisition data • A human-centred design approach