Deerfield Beach, FL -- (SBWIRE) -- 12/28/2015 -- Natural Language Computer Assisted Coding and SOA Healthcare Application Markets at $150 million in 2010 are anticipated to reach $2.6 billion by 2016. This growth comes as the electronic patient record is adopted worldwide and as automated process works in combination with sophisticated medical testing and imaging to provide superior, and less expensive healthcare delivery.

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Medical testing speeds diagnosis and exposes treatment options faster. Testing is far less expensive than physician and clinician labor. The ability to wring the labor costs out of the healthcare delivery system is what brings efficiency from automated process. This is not so good for the jobs market, but it does vastly improve healthcare delivery.

SOA supports on demand systems providing scale to meet the needs of users. As cloud markets evolve and users only pay for the capacity they use., SOA becomes a significant aspect of all markets going forward. SOA strategies relate to providing a middleware to manage different application access in ways that position software with a more flexible capability. The 2010 SOA study has 650 pages, 206 tables and figures.

The popularity of the on-demand deployment model has increased significantly. Systems provide security, response time, and service availability. SaaS software as a service application is widely known by the salesforce.com computing model illustrates. Business applications and computing models have matured and adoption has become an issue for every IT department. Platform as a service (PaaS) and infrastructure as a service (IaaS) have joined SaaS as compelling aspects of cloud computing applications and infrastructure services.

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. Natural language is used determine the links to codes. 80% of the coding can occur automatically without properly designed natural language processing (NLP) solutions do not require physicians to change the way they work. They can dictate in a free flowing fashion, consistent with the way they think, and are not limited to structured inputs that may or may not fully capture the unique circumstances of each patient encounter.

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Table Of Content

Computer Assisted Coding Executive Summary
Computer Assisted Coding Market Driving Forces
Natural Language Computer Assisted Coding Market Shares
Computer Assisted Coding Market Forecasts
Centers for Medicare & Medicaid Services (CMS) CAC to
Ease Transition to ICD-10
SOA For Healthcare Market Shares
Services Oriented Architecture (SOA) Healthcare Market Forecasts

1. Computer Assisted Coding Market Description and Market Dynamics
1.1 Standardized Application Of Coding Guidelines
1.2 Clinical Modification/Procedure Coding System (ICD-10)
1.2.1 Adopting an Electronic Query Process in CDI
1.3 Coding Challenge
1.3.1 Computer Assisted Coding (CAC)
1.3.2 Advances In Natural Language Processing And Informatics
1.4 Computer-Assisted Coding Technology
1.5 Computer-assisted Coding
1.5.1 Industry Forces Affecting Development of CAC
1.5.2 Application of CAC Technology
1.6 Development of a CAC Tool For Hospital Inpatient Use
1.6.1 CAC Impact on the Coding Workflow
1.6.2 Computers Replace Human Coders
1.7 Healthcare Industry Largest In United States
1.7.1 Building a Safer Health System
1.7.2 Facilitating the Use of Technology in the Healthcare Industry
1.7.3 Medicare Prescription Drug Improvement and Modernization Act
1.8 Medical Necessity and Medical Necessity Errors
1.9 Electronic Coding Technologies
1.9.1 Electronic Coding Integrated Database
1.10 Natural Language Solutions
1.10.1 State Of Language Technology Evaluation
1.11 Computerized Workflow System
1.11.1 Confidence Assessment Module
1.11.2 Researching Electronic Coding Products:

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