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Physician Computer Assisted Coding for Professionals: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

Physician Computer Assisted Coding for Professionals: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

WinterGreen Research announces that it has published a new study Professional Physician Practice and Ambulatory Clinical Facility 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.

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.


This is the 693nd 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 FOR LARGE PHYSICIAN PRACTICES AND AMBULATORY TREATMENT CENTERS MARKET DESCRIPTION AND MARKET DYNAMICS
1.1 Coding Challenge
1.1.1 Computer Assisted Coding (CAC) Physician Practice Services Component
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 Physician 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 Systems44
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. PROFESSIONAL COMPUTER ASSISTED CODING MARKET SHARES AND FORECASTS
2.1.1 Physician Practices With A Services Component Market Driving forces
2.1.2 Medical Best Practice Linking
2.1.3 CAC for Coders
2.1.4 Computer Assisted Coding Best Practice
2.1.5 Computer Assisted Coding Medical Information Solutions
2.1.6 Coding Solutions
2.1.7 Physician Computer Assisted Coding Services
2.2 Physician Office and Ambulatory Clinical Organizations Natural Language Computer Assisted Coding Market Shares
2.2.1 3M
2.2.2 3M
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 Services112
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 Forecasts1
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 138
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 270
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 282
5.8 Group One / CodeCorrect
5.9 M*Modal
5.10 nThrive 285
5.10.1 nThrive / Precyse
5.11 Nuance 286
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
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. Physician Practices and Ambulatory Care Centers CAC Market Driving Forces:
Figure 17. Computer Assisted Coding of Medical Information Market Driving Forces
Figure 18. Computer Assisted Coding of Medical Information Market Driving Factors
Figure 19. CAC Workstation Coder Benefits 67
Figure 20. CAC Management Tools 68
Figure 21. ELECTRONIC CODING SOLUTION MARKET DRIVING FORCES 72
Figure 22. ELECTRONIC CODING PRODUCT ISSUES 73
Figure 23. Large Physician Practice Computer Assisted Coding Software and Services Market Shares, Dollars, 2016 76
Figure 24. Radiology and Ambulatory Clinic Computer Assisted Coding Software and Services Market Shares, Dollars, 2016 78
Figure 25. Worldwide Computer Assisted Coding Facilities and Physicians Market Shares, Dollars, 2016 79
Figure 26. Computer Assisted Coding Software and Services Market Shares, Dollars, 2016 81
Figure 27. Worldwide Computer Assisted Coding License Shipments and Cloud Services Market Shares, Dollars, 2016 82
Figure 28. 3M CAC Research Areas 84
Figure 29. 3M Core of NLP Computer Assisted Coding 86
Figure 30. Optum CAC Key Benefits: 90
Figure 31. Optum LifeCode®, CAC Functions 91
Figure 32. Optum LifeCode®, CAC Reconciliation Functions 92
Figure 33. Optum CAC Reconciliation Module Functions: 93
Figure 34. Platocode® Computer Assisted Coding Solution Benefits 96
Figure 35. Computer Assisted Coding Market Forecast, Dollars, Worldwide, 2017-2024 100
Figure 36. Computer Assisted Coding CAC Market Forecasts, Dollars, 2017 to 2023 101
Figure 37. CAC Market Segments Software and Services Key Topics 103
Figure 38. Worldwide Computer Assisted Coding Hospitals and Facilities and Physicians Market Shares, Dollars, 2016 104
Figure 39. Worldwide Computer Assisted Coding: Large Teaching Hospitals, Mid-Size and Small Hospitals, and Clinical Facilities, Market Shares, Units, 2016 105
Figure 40. Worldwide Computer Assisted Coding, Hospitals and Facilities and Physicians, Market Shares, Units, 2016 108
Figure 41. Worldwide Computer Assisted Coding, License Shipments, Services, and Cloud Services 109
Figure 42. Worldwide and US Computer Assisted Coding Number of Large Physician Practices, CAC Installed Base, Market Forecasts, Number, 2017-2023 112
Figure 43. Worldwide and US Computer Assisted Coding Software and Cloud Services CAC Market Forecasts, Dollars, 2017-2023 113
Figure 44. Worldwide and US Computer Assisted Coding for Physicians CAC Market Forecasts, Dollars, 2017-2023 115
Figure 45. US Computer Assisted Coding Physician Software License / Maintenance and Cloud SaaS Services, CAC Market Forecasts, Dollars, 2017-2023 116
Figure 46. US Computer Assisted Coding Software License / Maintenance and Cloud SaaS Services CAC For Large Independent Physician Practices Market Forecasts, Dollars, 2017-2023 117
Figure 47. US Computer Assisted Coding Software Units Retired CAC For Large Independent Physician Practices Market Forecasts, 2017-2023 118
Figure 48. US Computer Assisted Coding Software Units Retired CAC For Large Independent Physician Practices Market Forecasts, 2017-2023 119
Figure 49. US Computer Assisted Coding Software and Cloud SaaS Services CAC For Independent Radiology Clinics Market Forecasts, Dollars, 2017-2023 120
Figure 50. US Computer Assisted Coding CAC Software License / Maintenance and Cloud SaaS Percent Penetration For Independent Radiology Clinics Market Forecasts, Dollars, 2017-2023 121
Figure 51. US Outpatient Procedures Forecasts, Number of Procedures, 2016-2023 128
Figure 52. US Computer Assisted Coding Outpatient Procedure Market Penetration Forecasts, % Penetration, 2017-2023 129
Figure 53. 3M™ APR DRG Software Functions: 131
2.5 Making The Shift To The Modern ICD-10 Requirements 132
Figure 54. Computer Assisted Coding Regional Market Segments Dollars, Worldwide, 2016 135
Figure 55. Computer Assisted Coding Regional Market Segments Dollars, Worldwide, 2016 136
Figure 56. 3M 360 Encompass 1,500 Hospitals And Healthcare User Organizations 137
Figure 57. 3M 360 Encompass 1,500 Hospitals And Healthcare User Organizations
Figure 58. 3M 3M CodeAssist System Features
Figure 59. 3M Codefinder Functions
Figure 60. 3M Codefinder Features
Figure 61. 3M Codefinder Intelligent Functions
Figure 62. 3M APR DRG Solutions Aspects
Figure 63. 3M Applications For Severity- And Risk-Adjusted Data
Figure 64. 3M Classification System
Figure 65. 3M APR DRG Software Features
Figure 66. 3M Medical Coding Tools
Figure 67. 3M DataScout Functions
Figure 68. 3M Clinical Information Extraction Functions
Figure 69. 3M Systems For Overcoming Documentation Shortfalls Focus
Figure 70. 3M Systems Topics
Figure 71. 3M Systems Metrics Included For Computerized Coding
Figure 72. 3M Web-Based Coding Software Return On Investment Metrics
Figure 73. 3M Web-Based Coding Software Key Benefits
Figure 74. 3M Coding Software Functions
Figure 75. 3M Coding Software Features
Figure 76. 3M Internet-Based Computer-Assisted Medical Coding Target Markets
Figure 77. 3M CodeAssist Functions
Figure 78. 3M CodeComplete Functions
Figure 79. Dolbey Fusion CAC Benefits
Figure 80. Dolbey Computer-Assisted Coding Solution Features
Figure 81. Dolby Computer Assisted Coding CAC Fusion Suite Modules
Figure 82. Optum Computer-Assisted Coding (CAC) Intelligent CAC Functions:
Figure 83. Optum Coding Service
Figure 84. Optum Medicare Fee Schedule
Figure 85. McKesson Practice Management Priorities
Figure 86. Cerner Discern nCode Functions
Figure 87. Cerner Discern nCode Key Features
Figure 88. Platocode Process
Figure 89. PlatoCode Code Set Filters
Figure 90. Nuance Personnel Impacted by Transition to ICD-10
Figure 91. ICD-10 Critical Business Concerns:
Figure 92. Nuance Clintegrity Facility Coding Healthcare Solutions Platform Functions
Figure 93. Nuance Clintegrity Facility Coding Healthcare Solution Functions
Figure 94. Nuance Clintegrity Computer Assisted Coding (CAC) Professional Fee Coding Functions
Figure 95. Nuance Clintegrity Clinician Coding Features
Figure 96. Nuance Clintegrity Facility Coding Features
Figure 97. Nuance Clintegrity Platform Modules
Figure 98. Nuance Clintegrity Platform, Modules Customizable Data Collection Fields Features
Figure 99. Nuance Advantages Of Automating Coding With Clintegrity
Figure 100. Nuance Coding Algorithms
Figure 101. Nuance Mapping And Modeling Disparate Controlled Medical Vocabulary Functions
Figure 102. Artificial Medical Intelligence EMscribe CAC
Figure 103. Artificial Medical Intelligence EMscribe Dynamic Search
Figure 104. Artificial Medical Intelligence (Ami) Emscribe™ Dx Benefits
Figure 105. Precyse Coding Services
Figure 106. PrecyseCode™ CAC Coding Functions
Figure 107. Computer Assisted Technology Functions
Figure 108. How ICD-9 and ICD-10 Are Different
Figure 109. ICD-9 and ICD-10 Different Formats
Figure 110. Semantic Indexing for Medical Ontology
Figure 111. Semantic Process Flow Index Component Medical Ontology
Figure 112. Information Extraction With Tessi® Extraction Engine Functions
Figure 113. 3M 360 Encompass 1,500 Hospitals And Healthcare User Organizations
Figure 114. Current EPIC Computer Assisted Coding CAC Integrations

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