Natural Language Processing (NLP) in Healthcare Market Next Big Thing | Cerner, 3M, IBM

Global Natural Language Processing (NLP) in Healthcare Market Report from AMA Research highlights deep analysis on market characteristics, sizing, estimates and growth by segmentation, regional breakdowns & country along with competitive landscape, players market shares, and strategies that are key in the market. The exploration provides a 360° view and insights, highlighting major outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions to improved profitability. In addition, the study helps venture or private players in understanding the companies in more detail to make better informed decisions.

Major Players in This Report Include,
3M (United States), Cerner (United States), Averbis (Germany), IBM Corporation (United States), Microsoft Corporation (United States), Wave Health Technologies (Georgia), Inovalon (United States), Nuance Communications (United States), Heath Fidelity (United States), Clinithink (Georgia), Linguamatics (United Kingdom) and Dolbey Systems (United States)

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Natural language processing or NLP normally refers to the interaction between a human and a computer that further analyzes, processes, and then produces computational linguistics that is all based on a human language. This NLP technology helps humans to have a meaningful interaction with computers using any basic human language like German or English instead of artificial computer languages like Java or C++. At present, the employment of this NLP technology is emerging in the global healthcare industry. A number of public and private healthcare service providers like the clinics and notable hospitals are now adopting the NLP technology for their clinical applications so as to improve their patient appointments and hence their overall decision-making skills. In addition to all these, the NLP technology is mainly implemented as a strategic tool by the healthcare service providers so as to gain all the clinical data insights and thereby the effective data results after the clinical processes. NLP technology is largely used in artificial intelligence systems so as to get improved data insight. The applications with natural language processing i.e. NLP integration are nowadays used in the healthcare industry for the purpose of providing clinical decision support systems as well as predictive analysis. With the increasing usage of Artificial Intelligence (AI), the frontiers of healthcare, treatment tools, and augmenting diagnostic, as well as the helping healthcare professionals prognosticate diseases is hereby expected to increase. The computer vision and Machine Learning (ML) algorithms have indeed helped in the detection of the precancerous lesions by the means of using the minutest details in the tissue imagery, thereby increasing the sensitivity as well as the accuracy of the cancer screening tests.

Growth Drivers
• With The Growing Use of Artificial Intelligence (AI), the Frontiers of Healthcare, Augmenting Diagnostic and Treatment Tools, and Helping Healthcare Professionals Prognosticate Diseases Is Expected To Increase
• Computer Vision and Machine Learning (ML) Algorithms Have Further Helped In Increasing the Sensitivity and Accuracy of Cancer Screening Tests

Market Trends
• Increase In Cloud-Based NLP Solutions to Maximize Profits and Automate the Equipment Maintenance Process, Effectively
• Integration of NLP Technology with Computer Apps Helps These Healthcare Service Providers to Improve Patient and Their Family Engagement Experience

Roadblocks
• Stringent Regulations by Government Regarding Healthcare Industry

Opportunities
• The Adoption of Cloud-Based NLP in Healthcare and Life Sciences Solutions Is Expected To Grow
• High Growth Rate Can Be Further Attributed To the Rising Digital Transformations in the Healthcare and Life Sciences Industries and Therefore the Growing Use Of Patient Health Record Systems

Challenges
• Unawareness About Natural Language Processing (NLP) in Healthcare in the Under Developed Regions

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In this research study, the prime factors that are impelling the growth of the Global Natural Language Processing (NLP) in Healthcare market report have been studied thoroughly in a bid to estimate the overall value and the size of this market by the end of the forecast period. The impact of the driving forces, limitations, challenges, and opportunities has been examined extensively. The key trends that manage the interest of the customers have also been interpreted accurately for the benefit of the readers.

The Natural Language Processing (NLP) in Healthcare market study is being classified by Type, Applications and major geographies with country level break-up that includes South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

The Global Natural Language Processing (NLP) in Healthcare is segmented by Type (Rule-Based NLP, Statistically Based NLP, Mixed NLP), Application (Health Care, Life Science, Other), Organization Size (Small and Medium Size Organizations, Large Size Organizations), Offering Type (Software (Cloud-Based and On-Premise), Services (Managed Services, Professional Services)), Stages (Pre-Construction, Construction Stage, Post-Construction)

The report concludes with in-depth details on the business operations and financial structure of leading vendors in the Global Natural Language Processing (NLP) in Healthcare market report, Overview of Key trends in the past and present are in reports that are reported to be beneficial for companies looking for venture businesses in this market. Information about the various marketing channels and well-known distributors in this market was also provided here. This study serves as a rich guide for established players and new players in this market.

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Current Scenario Analysis for Decision Framework
Key Strategic Developments in Natural Language Processing (NLP) in Healthcare Market:
The research includes the key strategic activities such as Research & Development (R&D) initiatives, Merger & Acquisition (M&A) completed, agreements, new launches, collaborations, partnerships & (JV) Joint ventures, and regional growth of the key competitors operating in the market at global and regional scale to overcome current slowdown due to COVID-19.

Key Market Features in Global Natural Language Processing (NLP) in Healthcare Market
The report highlights Natural Language Processing (NLP) in Healthcare market features, including revenue size, weighted average regional price, capacity utilization rate, production rate, gross margins, consumption, import & export, demand & supply, cost bench-marking in Natural Language Processing (NLP) in Healthcare, market share and annualized growth rate (Y-o-Y) and Periodic CAGR.

Extracts from Table of Contents
Global Natural Language Processing (NLP) in Healthcare Market Research Report
Chapter 1 Global Natural Language Processing (NLP) in Healthcare Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Revenue (Value, Volume*) by Region
Chapter 5 Global Supplies (Production), Consumption, Export, Import by Regions
Chapter 6 Global Revenue (Value, Volume*), Price* Trend by Type
Chapter 7 Global Market Analysis by Application
………………….continued

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This report also analyzes the regulatory framework of the Global Markets Natural Language Processing (NLP) in Healthcare Market Report to inform stakeholders about the various norms, regulations, this can have an impact. It also collects in-depth information from the detailed primary and secondary research techniques analyzed using the most efficient analysis tools. Based on the statistics gained from this systematic study, market research provides estimates for market participants and readers.

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