Lead author Brian Edwards hosted a webinar to accompany the release of this report on August 1, 2018 at 1pm ET. Please click here to watch!
The current market for natural language processing (NLP) technology in healthcare is nascent, dominated by a few legacy vendors that are focusing on front-end speech recognition (for computer-assisted physician documentation) and back-end coding (to optimize billing). While many vendors continue to advance NLP technology for more general use, there are a handful of niche solutions from highly specialized healthcare vendors pursuing additional opportunities to apply the technology. The research delves into a dozen such notable applications, including computer-assisted coding, speech recognition, and data mining.
This report provides insights for organizations that are considering, building, implementing, and deploying NLP technologies. Analysts at Chilmark Research have compiled advice regarding the newer technologies, proven methods, and the most impactful use cases in NLP today. We also identify and analyze key performance metrics that users should expect to see cited by NLP vendors as key differentiators. The report concludes with profiles and analyses of significant NLP solution providers that Chilmark Research considers representative of the available stack of technologies, development platforms, pragmatic applications, and services.
Vendors profiled: 3M, Artificial Intelligence in Medicine (an Inspirata company), Clinithink, Digital Reasoning, Health Catalyst, Health Fidelity, IBM Watson Health, Linguamatics Health, M*Modal, Nuance, Optum, SyTrue