Healthcare Natural Language Processing Market — Rise in Regulatory Compliances Around the World Is Likely to Help the IoT

The global healthcare natural language processing market has witnessed massive traction in the past few years and is expected to continue to expand at a promising pace in the next few years as well. This report provides a comprehensive overview of the key factors that could fuel this highly promising market, the factors that could hinder its potential pace of expansion, and the trends that would define its present course of development and its impact on the future of the market. The report considers 2015 as the base year for research and the forecast is provided for the years between 2016 and 2024.
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The report states that one of the key driving factors for the global healthcare NLP market is the rising usage of electronics health records (EHR) across the healthcare sector. The mounting volumes of critical patient data fed through EHRs is making is necessary for the integration of effective knowledge extraction and processing systems. Being easier to operate as compared to systems that use computer languages such as Java and C++ to process, analyze, and decode data, natural language processing systems are gaining increased traction.
Moreover, several countries in Europe are continuously increasing their spending on healthcare IT expenditure so as to improve healthcare infrastructures and incorporate advanced technologies in various diagnostic and therapeutic procedures. Healthcare organizations are increasingly making use of NLP technologies for effective documentation of clinical data and bring about a reduction in financial losses, incidental errors, and improve the quality of patient care.
The report segments the global healthcare NLP market on the basis of technology and geography. On the basis of technology, the market has been segmented into automatic summarization, machine translation, text and voice processing, and information extraction.

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