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Computer Assisted Coding: Market Shares, Strategies, and Forecasts, Worldwide, 2016 to 2022

Computer Assisted Coding: Market Shares, Strategies, and Forecasts, Worldwide, 2016 to 2022

WinterGreen Research announces that it has published a new study Computer Assisted Coding: Market Shares, Strategy, and Forecasts, Worldwide, 2017 to 2023. 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.

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.


This is the 692nd report in a series of primary market research reports that provide forecasts in communications, telecommunications, the Internet, computer, software, telephone equipment, health equipment, and energy. Automated process and significant growth potential are a priority in topic selection. The project leaders take direct responsibility for writing and preparing each report. They have significant experience preparing industry studies. They are supported by a team, each person with specific research tasks and proprietary automated process database analytics. Forecasts are based on primary research and proprietary data bases.

The primary research is conducted by talking to customers, distributors and companies. The survey data is not enough to make accurate assessment of market size, so WinterGreen Research looks at the value of shipments and the average price to achieve market assessments. Our track record in achieving accuracy is unsurpassed in the industry. We are known for being able to develop accurate market shares and projections. This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the markets from several different perspectives, including vendor shipments. The interview process is an essential aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar shipments are analyzed through consideration of dollar volume of each market participant in the segment. Installed base analysis and unit analysis is based on interviews and an information search. Market share analysis includes conversations with key customers of products, industry segment leaders, marketing directors, distributors, leading market participants, opinion leaders, and companies seeking to develop measurable market share.

COMPUTER ASSISTED CODING EXECUTIVE SUMMARY
Medical Best Practice Linking
CAC for Coders
Computer Assisted Coding Best Practice
Coding Solutions
Physician Computer Assisted Coding Services
Natural Language Computer Assisted Coding Market Shares
Natural Language Computer Assisted Coding of Medical Procedures Forecasts
Medical Best Practice Linking
1. COMPUTER ASSISTED CODING MARKET DESCRIPTION AND MARKET DYNAMICS
1.1 Coding Challenge
1.1.1 Computer Assisted Coding (CAC)
1.1.2 Advances In Natural Language Processing And Informatics
1.1.3 Using Electronic Health Record (EHR) Documentation To Generate Codes
1.2 Computer-Assisted Coding
1.2.1 Physician Practice Industry Forces Affecting Development of CAC
1.2.2 Application of CAC Technology
1.3 Development of a CAC Tool For Hospital Inpatient Use
1.3.1 CAC Impact on the Coding Workflow
1.3.2 Computers Replace Human Coders
1.3.3 CAC Applied Without Human Intervention Depends On Critical Differences Between
CAC Systems
1.4 Healthcare Industry Largest In United States
1.4.1 Building a Safer Health System
1.4.2 Facilitating the Use of Technology in the Healthcare Industry
1.4.3 Prescription Drug Modernization
1.5 Medical Necessity and Medical Necessity Errors
1.6 Physician Office Electronic Coding
1.6.1 CAC Automates and Accelerates Auditing
1.7 Natural Language Solutions
1.7.1 State Of Language Technology Evaluation
1.8 Computerized Workflow System
1.8.1 Confidence Assessment Module
1.8.2 Researching Electronic Coding Products:
2. COMPUTER ASSISTED CODING MARKET SHARES AND FORECASTS
2.1.1 Medical Best Practice Linking
2.1.2 CAC for Coders
2.1.3 Computer Assisted Coding Best Practice
2.1.4 Coding Solutions
2.1.5 Physician Computer Assisted Coding Services
2.2 Natural Language Computer Assisted Coding Market Shares
2.2.1 3M 75
2.2.2 3M 77
2.2.3 3M Merging Quality With Reimbursement
2.2.4 Optum
2.2.5 Optum Automated Code Identification
2.2.6 Optum
2.2.7 nThrive / Precyse
2.2.8 Dolbey
2.2.9 McKesson
2.2.10 Cerner
2.2.11 TruCode
2.3 Natural Language Computer Assisted Coding of Medical Procedures Forecasts
2.3.1 CAC Market Software and Services Segmentation
2.3.2 CAC Hospitals and Facilities and Physicians Market Segment
2.3.3 Computer Assisted Coding Physician Market
2.3.4 Worldwide Computer Assisted Coding, Hospitals and Facilities and Physicians
2.3.5 CAC Software Market Hospital and Physician Segments
2.3.6 CAC Services Market Segment
2.3.7 US Computer Assisted Coding Physician Software License / Maintenance and Cloud
SaaS Services 104
2.3.8 Physicians Computer Assisted Coding
2.3.9 US Computer Assisted Coding Software Units
2.3.10 US Computer Assisted Coding Software / Cloud Services for Independent Radiology
Clinics Market Forecasts
2.3.1 US Independent Radiology Imaging Centers
2.3.2 Erroneous Selection of Principal Diagnoses Impacting Reimbursement
2.3.3 Growth of the U.S. Healthcare Industry
2.4 Worldwide, Number of Patients and Procedures
2.5 Making The Shift To The Modern ICD-10 Requirements
2.6 Computer Assisted Coding Prices
2.7 Computer Assisted Coding Regional Analysis
2.7.1 3M 360 Encompass System
3. COMPUTER ASSISTED CODING PRODUCT DESCRIPTION
3.1 3M
3.1.1 3M 360 Encompass System
3.1.2 3M 3M CodeAssist System
3.1.3 3M APR DRG Solutions Aspects
3.1.4 3M Merging Quality With Reimbursement
3.1.5 3M™ APR DRG Software
3.1.6 3 M Classification System For Patients
3.1.7 3M APR DRG Software Features:
3.1.8 3M Coding Technology
3.1.9 3M Computer-Assisted Coding Solutions
3.1.10 3M Medical Coding Tools Streamline Processes
3.1.11 CodeAssist Automating the Medical Coding Process
3.1.12 3M CodeComplete Outsource Solution for Medical Coding
3.1.13 3M DataScout Clinical Data Extraction and Identification
3.1.14 3M and American Academy of Professional Coders (AAPC)
3.1.15 3M Data Mining Technology
3.1.16 3M Systems for Overcoming Documentation Shortfalls
3.1.17 3M Solutions for a Changing Healthcare Landscape
3.1.18 3M Web-Based Coding Software Return on Investment
3.1.19 3M Coding Software Functions
3.1.20 3M Computer-Assisted Coding Solutions Targeted to Specialty Areas
3.1.21 3M CodeAssist Functions
3.1.22 3M CodeComplete Business Process Management
3.2 Dolbey
3.2.1 Dolbey Coding Productivity Management
3.2.2 Dolby Fusion Suite Modules
3.3 Optum Coding Service
3.3.1 Optum Coding
3.3.2 Optum CPT® Codes
3.3.3 Optum Medicare Fee Schedule
3.4 McKesson
3.4.1 Mckesson Watching the Cash
3.4.2 McKesson Securing the Subsidy
3.4.3 McKesson Quality Control And Process Improvement
3.5 Cerner Computer Assisted Coding
3.6 Platocode® Computer-Assisted Coding
3.6.1 Platocode ICD 10
3.6.2 Platocode® Solution For Ambulatory Surgery
3.6.3 Platocode® API
3.6.4 Communication Between 3rd-Party Applications And A Platocode Server
3.7 Nuance Computer Assisted Coding
3.7.1 Nuance Clinical Documentation Review
3.7.2 Nuance Clinical Documentation Compliance
3.7.3 Nuance Clintegrity Computer Assited Coding (CAC)
3.7.4 Nuance Clintegrity Computer Assisted Coding (CAC) Key Features
3.7.5 Nuance Clintegrity Facility Coding Solutions for Healthcare
3.7.6 Nuance Clintegrity Facility Coding
3.7.7 Nuance Clintegrity Computer Assisted Coding (CAC) Features
3.7.8 Nuance Clintegrity Physician Coding
3.7.9 Nuance Clinician Reimbursement Calculation
3.7.10 Nuance Clintegrity Compliance & ICD-10 Transition
3.7.11 Nuance Clintegrity Facility Coding
3.7.12 Nuance Clintegrity Abstracting
3.7.13 Nuance Clintegrity ICD-10 Education Services
3.7.14 Nuance Automated Coding
3.7.15 Nuance Natural Language Processing
3.7.16 Nuance Natural Language Understanding
3.7.17 Nuance Mapping and Modeling Disparate Controlled Medical Vocabularies (CMVs);
3.8 Artificial Medical Intelligence Emscribe CAC
3.8.1 Artificial Medical Intelligence EMscribe Dynamic Search
3.8.2 Artificial Medical Intelligence EMscribe Encoder
3.8.3 AMI EMscribe® Dynamic Medical Term And Coding Search Tool
3.8.4 Artificial Medical Intelligence Autonomous Coding
3.8.5 Artificial Medical Intelligence (AMI) EMscribe Dx
3.9 CodeCorrect
3.9.1 CodeCorrect Capture Revenue and Maintain Compliance
3.9.2 CodeCorrect knowledge
3.9.3 CodeCorrect Medical Necessity Verification and APC Performance Tools
3.9.4 QuadraMed
3.10 M*Modal Coding
3.10.1 M*Modal Workflow
3.10.2 M*Modal Management Tools
3.10.3 M*Modal Single Platform
3.11 nThrive / MedAssets-Precyse and Equation
3.11.1 Precyse Medical Coding and Computer Assisted Coding
4. COMPUTER ASSISTED CODING RESEARCH AND TECHNOLOGY
4.1 Computer-Assisted Coding Technology
4.2 Hybrid Technology
4.2.1 Computer Assisted Coding Engine
4.3 Optum Computer Assisted Coding Technology
4.4 Preventable Medical Conditions
4.5 Natural Language Processing (NLP) Medical Coding
4.5.1 Rules Based Approaches
4.5.2 Reports Based On Statistics
4.5.3 Normalize the Data
4.6 Reports Must Be In Some Kind Of Electronic Format
4.6.1 NLP Software Statistical Analysis
4.6.2 Workflow
4.6.3 Feedback for Machine Learning
4.6.4 Coding
4.6.5 Accuracy And Specificity Of Retrieval
4.6.6 Natural Language Programming (NLP) Vocabulary Processor
4.6.7 Robust Underlying Terminological Model And A Component Architecture
4.7 TeSSI® (Terminology Supported Semantic Indexing)
4.7.1 L&C’s LinkBase® Medical Ontology
4.7.2 Semantic Indexing With The TeSSI® Indexing Engine
4.7.3 Semantic Indexing Solution Automates The Indexing Process
4.7.4 Information Extraction with TeSSI® Extraction Engine
4.7.5 Semantic Search with TeSSI® Search Engine
5. COMPUTER ASSISTED CODING COMPANY PROFILES
5.1 CAC Key Market Players
5.2 3M 262
5.2.1 3M Business
5.2.2 3M Health Care Segment
5.2.3 3M Electronics and Energy Business
5.2.4 3M Health Information Systems
5.3 Artificial Medical Intelligence
5.4 Cerner
5.4.1 Cerner Business
5.4.2 Cerner Acquired Siemens Health Services
5.4.3 Cerner 2016 Fourth Quarter and Full-Year Highlights:
5.5 Craneware
5.6 Dolbey
5.7 EPIC 274
5.8 Group One / CodeCorrect
5.9 M*Modal
5.10 nThrive 277
5.10.1 nThrive / Precyse
5.11 Nuance 278
5.11.1 Nuance Healthcare
5.11.2 Nuance Business Description
5.11.3 Nuance Key Metrics
5.11.4 Nuance Healthcare Trends
5.12 Quest Diagnostics
5.13 TruCode 283
5.14 UnitedHealth Group / Optum
5.14.1 UnitedHealth Group / Optum
5.14.2 UnitedHealth Group Optum Health Information Technology Acquires Clinical Data Analytics Vendor Humedica
5.14.3 Optum Acquires Physician Practice Management And Revenue Management Software Firm, MedSynergies and Support Arm of ProHealth Physicians Group
5.14.4 Optum MedSynergies Synergies
5.14.5 Optum Life Sciences
5.14.6 United Healthcare Revenue
5.15 Selected CAC Companies
WINTERGREEN RESEARCH,
WinterGreen Research Methodology
List Of Figures
Figure 1. Computer Assisted Coding of Medical Information Market Driving Forces
Figure 2. Computer Assisted Coding of Medical Information Market Driving Factors
Figure 3. CAC Workstation Coder Benefits
Figure 4. CAC Management Tools
Figure 5. ELECTRONIC CODING SOLUTION MARKET DRIVING FORCES
Figure 6. ELECTRONIC CODING PRODUCT ISSUES
Figure 7. Computer Assisted Coding Software and Services Market Shares, Dollars, 2016
Figure 8. Computer Assisted Coding Market Forecast, Dollars, Worldwide, 2017-2024
Figure 9. Barriers to CAC
Figure 10. Electronic Coding Integrated Database Issues
Figure 11. Medical Necessity Online
Figure 12. Physician Office Computer Assisted Coding Key Benefits:
Figure 13. Natural Language Solutions System For Coding
Figure 14. Computerized Workflow System Systems Features
Figure 15. 3M Confidence Assessment Module System
Figure 16. Computer Assisted Coding of Medical Information Market Driving Forces
Figure 17. Computer Assisted Coding of Medical Information Market Driving Factors
Figure 18. CAC Workstation Coder Benefits
Figure 19. CAC Management Tools
Figure 20. ELECTRONIC CODING SOLUTION MARKET DRIVING FORCES
Figure 21. ELECTRONIC CODING PRODUCT ISSUES
Figure 22. Computer Assisted Coding Software and Services Market Shares, Dollars, 2016
Figure 23. Worldwide Computer Assisted Coding License Shipments and Cloud Services
Market Shares, Dollars, 2016
Figure 24. 3M CAC Research Areas
Figure 25. 3M Core of NLP Computer Assisted Coding
Figure 26. Optum CAC Key Benefits:
Figure 27. Optum LifeCode®, CAC Functions
Figure 28. Optum LifeCode®, CAC Reconciliation Functions
Figure 29. Optum CAC Reconciliation Module Functions:
Figure 30. Platocode® Computer Assisted Coding Solution Benefits
Figure 31. Computer Assisted Coding Market Forecast, Dollars, Worldwide, 2017-2024
Figure 32. Computer Assisted Coding CAC Market Forecasts, Dollars, 2017 to 2023
Figure 33. CAC Market Segments Software and Services Key Topics
Figure 34. Worldwide Computer Assisted Coding Hospitals and Facilities and Physicians
Market Shares, Dollars, 2016
Figure 35. Worldwide Computer Assisted Coding: Large Teaching Hospitals, Mid-Size and
Small Hospitals, and Clinical Facilities, Market Shares, Units, 2016
Figure 36. Worldwide Computer Assisted Coding, Hospitals and Facilities and Physicians,
Market Shares, Units, 2016
Figure 37. Worldwide Computer Assisted Coding, License Shipments, Services, and Cloud
Services 101
Figure 38. Worldwide and US Computer Assisted Coding Number of Large Physician Practices,
CAC Installed Base, Market Forecasts, Number, 2017-2023
Figure 39. Worldwide and US Computer Assisted Coding Software and Cloud Services
CAC Market Forecasts, Dollars, 2017-2023
Figure 40. Worldwide and US Computer Assisted Coding for Physicians CAC Market
Forecasts, Dollars, 2017-2023
Figure 41. US Computer Assisted Coding Physician Software License / Maintenance and
Cloud SaaS Services, CAC Market Forecasts, Dollars, 2017-2023
Figure 42. US Computer Assisted Coding Software License / Maintenance and Cloud SaaS
Services CAC For Large Independent Physician Practices Market Forecasts, Dollars, 2017-2023
Figure 43. US Computer Assisted Coding Software Units Retired CAC For Large
Independent Physician Practices Market Forecasts, 2017-2023
Figure 44. US Computer Assisted Coding Software Units Retired CAC For Large
Independent Physician Practices Market Forecasts, 2017-2023
Figure 45. US Computer Assisted Coding Software and Cloud SaaS Services CAC For
Independent Radiology Clinics Market Forecasts, Dollars, 2017-2023
Figure 46. US Computer Assisted Coding CAC Software License / Maintenance and
Cloud SaaS Percent Penetration For Independent Radiology Clinics Market Forecasts,
Dollars, 2017-2023 113
Figure 47. US Outpatient Procedures Forecasts, Number of Procedures, 2016-2023
Figure 48. US Computer Assisted Coding Outpatient Procedure Market Penetration
Forecasts, % Penetration, 2017-2023
Figure 49. 3M™ APR DRG Software Functions:
2.5 Making The Shift To The Modern ICD-10 Requirements
Figure 50. Computer Assisted Coding Regional Market Segments Dollars, Worldwide, 2016
Figure 51. Computer Assisted Coding Regional Market Segments Dollars, Worldwide, 2016
Figure 52. 3M 360 Encompass 1,500 Hospitals And Healthcare User Organizations
Figure 53. 3M 360 Encompass 1,500 Hospitals And Healthcare User Organizations
Figure 54. 3M 3M CodeAssist System Features
Figure 55. 3M Codefinder Functions
Figure 56. 3M Codefinder Features
Figure 57. 3M Codefinder Intelligent Functions
Figure 58. 3M APR DRG Solutions Aspects
Figure 59. 3M Applications For Severity- And Risk-Adjusted Data
Figure 60. 3M Classification System
Figure 61. 3M APR DRG Software Features
Figure 62. 3M Medical Coding Tools
Figure 63. 3M DataScout Functions
Figure 64. 3M Clinical Information Extraction Functions
Figure 65. 3M Systems For Overcoming Documentation Shortfalls Focus
Figure 66. 3M Systems Topics
Figure 67. 3M Systems Metrics Included For Computerized Coding
Figure 68. 3M Web-Based Coding Software Return On Investment Metrics
Figure 69. 3M Web-Based Coding Software Key Benefits
Figure 70. 3M Coding Software Functions
Figure 71. 3M Coding Software Features
Figure 72. 3M Internet-Based Computer-Assisted Medical Coding Target Markets
Figure 73. 3M CodeAssist Functions
Figure 74. 3M CodeComplete Functions
Figure 75. Dolbey Fusion CAC Benefits
Figure 76. Dolbey Computer-Assisted Coding Solution Features
Figure 77. Dolby Computer Assisted Coding CAC Fusion Suite Modules
Figure 78. Optum Computer-Assisted Coding (CAC) Intelligent CAC Functions:
Figure 79. Optum Coding Service
Figure 80. Optum Medicare Fee Schedule
Figure 81. McKesson Practice Management Priorities
Figure 82. Cerner Discern nCode Functions
Figure 83. Cerner Discern nCode Key Features
Figure 84. Platocode Process
Figure 85. PlatoCode Code Set Filters
Figure 86. Nuance Personnel Impacted by Transition to ICD-10
Figure 87. ICD-10 Critical Business Concerns:
Figure 88. Nuance Clintegrity Facility Coding Healthcare Solutions Platform Functions
Figure 89. Nuance Clintegrity Facility Coding Healthcare Solution Functions
Figure 90. Nuance Clintegrity Computer Assisted Coding (CAC) Professional Fee Coding Functions
Figure 91. Nuance Clintegrity Clinician Coding Features
Figure 92. Nuance Clintegrity Facility Coding Features
Figure 93. Nuance Clintegrity Platform Modules
Figure 94. Nuance Clintegrity Platform, Modules Customizable Data Collection Fields Features
Figure 95. Nuance Advantages Of Automating Coding With Clintegrity
Figure 96. Nuance Coding Algorithms
Figure 97. Nuance Mapping And Modeling Disparate Controlled Medical Vocabulary Functions223
Figure 98. Artificial Medical Intelligence EMscribe CAC
Figure 99. Artificial Medical Intelligence EMscribe Dynamic Search
Figure 100. Artificial Medical Intelligence (Ami) Emscribe™ Dx Benefits
Figure 101. Precyse Coding Services
Figure 102. PrecyseCode™ CAC Coding Functions
Figure 103. Computer Assisted Technology Functions
Figure 104. How ICD-9 and ICD-10 Are Different
Figure 105. ICD-9 and ICD-10 Different Formats
Figure 106. Semantic Indexing for Medical Ontology
Figure 107. Semantic Process Flow Index Component Medical Ontology
Figure 108. Information Extraction With Tessi® Extraction Engine Functions
Figure 109. 3M 360 Encompass 1,500 Hospitals And Healthcare User Organizations
Figure 110. Current EPIC Computer Assisted Coding CAC Integrations

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