Health Information Systems (HIS) contain a variety of unstructured data about patients coming from many departments and entered by different doctors, nurses, other clinicians, and assistants. This creates a massive repository of unstructured, fragmented, and unconnected data about each patient. This data is unique to healthcare, with its own language and text characteristics, making it difficult for automated systems to utilize and analyze data holistically for patient care and management. Non-healthcare-focused systems lack an effective and systematic way to structure, integrate, and analyze the data in a meaningful way to enable doctors to gain insights and make more precise clinical decisions. Winning Health’s Natural Language Processing (NLP) platform uses Artificial Intelligence (AI) and machine learning (ML) techniques to analyze and integrate various patient data in the language of healthcare. Their solution assists doctors to arrive at better clinical diagnoses and aid researchers with richer medical research—ultimately delivering better patient care.