"The
Report Physician Computer Assisted Coding for Professionals: Market
Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023 provides
information on pricing, market analysis, shares, forecast, and
company profiles for key industry participants. -
MarketResearchReports.biz"
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 301 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.
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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.
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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 $898 million in
2016, anticipated to reach $2.5 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.
Major
health plans report a smooth transition to ICD-10. This is due to
rigorous testing for six years. ICD-10 has had a positive impact on
reimbursement. ICD-10 coding system requires use of 72,000 procedure
codes and 68,000 CM codes, as opposed to the 4,000 and 14,000 in the
ICD-9 system. Managing high volume of codes requires automation.
Healthcare providers and payers use complex coding systems, which
drives demand for technologically advanced CAC systems.
The
market for computer-assisted coding grows because it provides
management of workflow process value by encouraging increasing
efficiency in care delivery for large Professional Physician Practice
and Ambulatory Clinical Facility. 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
EPICGroup
One / CodeCorrect
M*Modal
nThrive
/ Precyse
Nuance
Quest
Diagnostics
TruCode
UnitedHealth
Group / Optum
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