ResearchMoz added Latest Research Report titled " Computer Assisted Coding: Market Shares, Strategies, and Forecasts, Worldwide, 2016 to 2022 " to it's Large Report database.

Albany, NY -- (SBWire) -- 04/07/2017 --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. The study has 299 pages and 110 tables and figures.

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 processing is used determine the links to codes. 88% of the coding can occur automatically without human review. Computer assisted coding is used in all parts of the healthcare delivery system. The coding systems work well to implement automated coding process.

Physicians think about patient conditions in terms of words. Software is configured to achieve working with physicians who are more comfortable describing a patient treatment in words than codes. The electronic patient record, created using physician dictation, is used to form the base for the coding. Natural language solutions implement computer coding to identify key words and patterns of language. The physician dictation can be done using regular language that the software recognizes and translates into billing codes.

Get a Sample Research PDF with TOC: http://www.researchmoz.us/enquiry.php?type=S&repid=1054304

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 that type of physician patient management against 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 commendations with the actual follow up heralds' significant promise of vastly improved health care delivery.

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.

"Growing acceptance of computer assisted coding for physician offices represents a shift to cloud computing and billing by the procedure coded. Because SaaS based CAC provides an improvement over current coding techniques the value is being recognized. Administrators are realizing the benefits to quality of care. Patients feel better after robotic surgery and the surgeries are more likely to be successful."

The worldwide market for Computer Assisted Coding 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.

Browse more details at: http://www.researchmoz.us/computer-assisted-coding-market-shares-strategies-and-forecasts-worldwide-2016-to-2022-report.html

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

Enquiry at: http://www.researchmoz.us/enquiry.php?type=E&repid=1054304

About ResearchMoz
ResearchMoz is the world's fastest growing collection of market research reports worldwide. Our database is composed of current market studies from over 100 featured publishers worldwide. Our market research databases integrate statistics with analysis from global, regional, country and company perspectives. ResearchMoz's service portfolio also includes value-added services such as market research customization, competitive landscaping, and in-depth surveys, delivered by a team of experienced Research Coordinators.

Contact Us:
Mr. Nachiket
Albany NY - 12207
United States
Tel: +1-518-621-2074
Tel: 866-997-4948 (Us-Canada Toll Free)
Email: sales@researchmoz.us
Follow us on LinkedIn at: http://bit.ly/1TBmnVG