Imminent delay of ICD-10 has not stopped the healthcare providers who have the foresight to charge ahead in their preparation for ICD-10. One of the biggest components that would assist healthcare organizations in that preparation for ICD-10 is purchasing a Computer Assisted Coding software product. One of the key components of a computer assisted coding product is it’s Natural Language Processing (NLP) technology that provides the ability to highlight code-able terms in the patient record by auto suggesting codes where the coder will validate the suggested codes.
Understanding NLP technology is vital in the evaluation/selection process of a computer assisted coding product. During HIMSS12, HIT Consultant meet with Richard Woliniewicz, Ph.D, Director NLP Advanced Technology at 3M HIS where he goes in depth in breaking down the components of NLP technology.
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About with Richard Woliniewicz, Ph.D:
Director, NLP Advanced Technology
Richard Wolniewicz is Director, NLP Advanced Technology for 3M, where he oversees natural language processing and machine learning technologies for the company’s medical coding and documentation software. Before joining 3M, Richard was senior director of the machine learning group at J.D. Power & Associates, where he managed research, development, and operations of NLP systems for market research using social media. His career spans more than 20 years, with extensive experience in software development, machine learning technology, and real-time content optimization at organizations such as Amazon.com, Umbria Corporation, and CSG Systems. Richard holds an MBA and a PhD in Computer Science.
