Natural Language Computer Assisted Coding and SOA Healthcare Application Market Strategies, Shares and Forecasts, Worldwide, 2010-2016. Computer assisted coding markets come together to make information technology delivery a system that supports the efficient and affordable patient treatment environment. CodeRyte is a vendor with advanced systems evolution. Other vendors are achieving ICD-10 capability.

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Computer assisted Coding represents a utility using SOA to manage web services and transport code modules from one application to another, from one facility to another. IBM is the market leader in SOA application middleware with 75% market share.

Coders identify diagnoses and related procedures. These events must have codes assigned to them for use in billing and performance measurement programs. Coders use one system to research medical codes and another to create encoded documents. Inefficiencies in medical coding add $8 billion in administrative costs to the health care system, result in billing and payment errors and slow payments to health care providers.

Computer assisted coding markets are merging with electronic patient record systems. The ability to code medical records depends on the ability to read the chart automatically, creating a need for the coding systems to be part of the electronic records systems. Automated coding of medical records provides significant efficiency to the healthcare delivery system.

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Automated process is an essential aspect of business process efficiency. Computer assisted coding represents the most significant aspect of achieving insurance efficiency. At the same time quality of care delivery improves by a quantum amount.

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.

Matching codes generated from physician notes to standard treatment protocols promises to improve health care delivery. Accompanying the more advanced computer generated types of physician patient management coding with measures of best practice promises to revolutionize health care delivery.

The ability to further check as to whether the recommendations for follow up made by radiologists and matching the recommendations with the actual follow up holds significant promise of vastly improved health care delivery.

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Systems are implemented with natural language pattern recognition. These patterns are linked to rules and encoded with systems that learn from their mistakes, creating self healing adjustments to how a particular physician works. In order to assign appropriate billing codes based on the language, the context in which those patterns of language occur is buttressed with statistical analysis and rules developed at the outset of using a system.

The Centers for Medicare & Medicaid Services (CMS) requires all health care organizations to use the Statistical Classification of Disease and Related Health Problems (ICD-10) when encoding medical documentation by October 1, 2013. ICD-10 is a sophisticated index of more than 155,000 codes that describe medical conditions and their severity. It will replace ICD-9, which had just 17,000 codes.

According to CMS, ICD-10 will facilitate better analysis of disease patterns, severity and treatment outcomes, and support health care quality improvement efforts. vastly expanded code sets increase the time required to process documentation and the potential for errors, which lead to rejected claims and higher administrative costs.


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