Pune, Maharashtra -- (SBWIRE) -- 04/04/2017 -- The worldwide Computer Assisted Coding Market is $2.8 billion in 2016, anticipated to reach $5.1 billion by 2023. The complete report provides a comprehensive analysis of Computer Assisted Coding in different categories, illustrating the diversity of software market segments. A complete procedure analysis is done, looking at numbers of procedures and doing penetration analysis.

Complete 299 pages, 110 tables and figures Report Title "Computer Assisted Coding Market Shares, Strategies, and Forecasts, Worldwide, 2016 to 2022" Available @ http://www.reportsnreports.com/reports/944710-computer-assisted-coding-market-shares-strategies-and-forecasts-worldwide-2016-to-2022.html

The market for computer-assisted coding grows because it provides management of workflow process value by encouraging increasing efficiency in care delivery. By making more granular demarcation of diagnoses and care provided for each diagnosis, greater visibility into the care delivery system is provided. Greater visibility brings more ability to adapt the system to successful treatments.

Companies Profiled

Market Leaders: 3M, Optum, Dolbey

Selected Market Participants: Artificial Medical Intelligence, Cerner, Craneware, EPIC, Group One / CodeCorrect, M*Modal, nThrive / Precyse, Nuance, Quest Diagnostics, TruCode, UnitedHealth Group / Optum

Key Topics
-Natural Language Coding
-NLC
-Computer Assisted Coding
-CAC
-Rules Based Coding Technology
-Medical Coding
-Medical Necessity
-Electronic Medical Record
-Electronic Medical Coding
-Natural language solutions
-Computerized medical workflow
-Claims scrubbers
-Tessi® (terminology supported semantic indexing)
-Electronic coding for physicians
-Medical necessity
-Correct coding tools
-Physician electronic medical record (emr) systems
-Language and computing
-Ontology assisted solutions
-Diagnosis codes
-Procedure codes

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Next generation Computer Assisted Coding of medical information is able to leverage natural language software technology to support some automation of the billing process and use of analytics to achieve higher quality patient outcomes. Computer assisted coding of medical information uses natural language solutions to link the physician notes in an electronic patient record to the codes used for billing Medicare, Medicaid, and private insurance companies

Computer assisted coding applications depend on the development of production quality natural language processing (NLP)-based computer assisted coding applications. This requires a process-driven approach to software development and quality assurance.

A well-defined software engineering process consists of requirements analysis, preliminary design, detailed design, implementation, unit testing, system testing and deployment. NLP complex technology defines the key features of a computer assisted coding (CAC) application.

Automation of process will revolutionize health care delivery. In addition to automating the insurance, billing, and transaction systems, streamlined care delivery is an added benefit. The ability to look at workflow and compare actual care to best practice is fundamental to automated business process. The ability to link diagnostic patient information to treatment regimes and drug prescriptions is central to improving medical care delivery. Once a physician can see what conditions need to be followed, and see that appropriate care has been prescribed 100% of the time, care delivery improves dramatically. Diagnosis of conditions using radiology frequently results in detection of events that need follow-up.

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Table of Contents

Computer Assisted Coding Executive Summary
Computer Assisted Coding Market Description And Market Dynamics
Computer Assisted Coding Market Shares And Forecasts
Computer Assisted Coding Product Description
Computer Assisted Coding Research And Technology
Computer Assisted Coding Company Profiles

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