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

Published: May, 2017 | Pages: 301 | Publisher: WinterGreen Research
Industry: ICT | Report Format: Electronic (PDF)

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.  

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.

According to Susan Eustis, lead author of the team that prepared the study, “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.

WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software.  The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, electronics.ca, and Thompson Financial.  It conducts its business with integrity.  

The increasingly global nature of science, technology and engineering is a reflection of the implementation of the globally integrated enterprise.  Customers trust wintergreen research to work alongside them to ensure the success of the participation in a particular market segment.

WinterGreen Research supports various market segment programs; provides trusted technical services to the marketing departments.  It carries out accurate market share and forecast analysis services for a range of commercial and government customers globally.  These are all vital market research support solutions requiring trust and integrity.

Companies Profiled 

Market Leaders
•	3M 
•	Dolbey 
•	Optum

Market Participants
•	Artificial Medical Intelligence 
•	Cerner 
•	Craneware 
•	EPIC 
•	Group One / CodeCorrect 
•	M*Modal 
•	nThrive / Precyse 
•	Nuance 
•	Quest Diagnostics 
•	TruCode 
•	UnitedHealth Group / Optum

Key Topics

•	Natural Language Coding 
•	NLC 
•	Computer Assisted Coding 
•	CAC 
•	Rules Based Coding Technology 
•	Medical Coding 
•	Medical Necessity 
•	Electronic Medical Record 
•	Electronic Medical Coding 
•	Natural language solutions 
•	Computerized medical workflow 
•	Claims scrubbers 
•	Tessi (terminology supported semantic indexing) 
•	Electronic coding for physicians 
•	Medical necessity 
•	Correct coding tools 
•	Physician electronic medical record (emr) systems 
•	Language and computing 
•	Ontology assisted solutions 
•	Diagnosis codes 
•	Procedure codes
 Table of Contents

Computer Assisted Coding Executive Summary 18
Medical Best Practice Linking 21
CAC for Coders 21
Computer Assisted Coding Best Practice 24
Coding Solutions 26
Physician Computer Assisted Coding Services 28
Natural Language Computer Assisted Coding Market Shares 29
Natural Language Computer Assisted Coding of Medical Procedures Forecasts 31
Medical Best Practice Linking 33

1. Computer Assisted Coding for Large Physician Practices and Ambulatory Treatment Centers Market Description and Market Dynamics 34
1.1 Coding Challenge 34
1.1.1 Computer Assisted Coding (CAC) Physician Practice Services Component 35
1.1.2 Advances In Natural Language Processing And Informatics 36
1.1.3 Using Electronic Health Record (EHR) Documentation To Generate Codes 37
1.2 Computer-Assisted Coding 39
1.2.1 Physician Practice Industry Forces Affecting Development of CAC 40
1.2.2 Application of CAC Technology 42
1.3 Development of a CAC Tool For Physician Use 43
1.3.1 CAC Impact on the Coding Workflow 43
1.3.2 Computers Replace Human Coders 43
1.3.3 CAC Applied Without Human Intervention Depends On Critical Differences Between CAC Systems 44
1.4 Healthcare Industry Largest In United States 45
1.4.1 Building a Safer Health System 47
1.4.2 Facilitating the Use of Technology in the Healthcare Industry 48
1.4.3 Prescription Drug Modernization 49
1.5 Medical Necessity and Medical Necessity Errors 50
1.6 Physician Office Electronic Coding 51
1.6.1 CAC Automates and Accelerates Auditing 55
1.7 Natural Language Solutions 55
1.7.1 State Of Language Technology Evaluation 56
1.8 Computerized Workflow System 58
1.8.1 Confidence Assessment Module 59
1.8.2 Researching Electronic Coding Products: 61

2. Professional Computer Assisted Coding Market Shares and Forecasts 62
2.1.1 Physician Practices With A Services Component Market Driving forces 63
2.1.2 Medical Best Practice Linking 66
2.1.3 CAC for Coders 67
2.1.4 Computer Assisted Coding Best Practice 70
2.1.5 Computer Assisted Coding Medical Information Solutions 71
2.1.6 Coding Solutions 71
2.1.7 Physician Computer Assisted Coding Services 74
2.2 Physician Office and Ambulatory Clinical Organizations Natural Language Computer Assisted Coding Market Shares 75
2.2.1 3M 83
2.2.2 3M 85
2.2.3 3M Merging Quality With Reimbursement 88
2.2.4 Optum 89
2.2.5 Optum Automated Code Identification 90
2.2.6 Optum 93
2.2.7 nThrive / Precyse 94
2.2.8 Dolbey 94
2.2.9 McKesson 96
2.2.10 Cerner 98
2.2.11 TruCode 98
2.3 Natural Language Computer Assisted Coding of Medical Procedures Forecasts 98
2.3.1 CAC Market Software and Services Segmentation 102
2.3.2 CAC Hospitals and Facilities and Physicians Market Segment 104
2.3.3 Computer Assisted Coding Physician Market 106
2.3.4 Worldwide Computer Assisted Coding, Hospitals and Facilities and Physicians 108
2.3.5 CAC Software Market Hospital and Physician Segments 110
2.3.6 CAC Services Market Segment 111
2.3.7 US Computer Assisted Coding Physician Software License / Maintenance and Cloud SaaS Services 112
2.3.8 Physicians Computer Assisted Coding 115
2.3.9 US Computer Assisted Coding Software Units 118
2.3.10 US Computer Assisted Coding Software / Cloud Services for Independent Radiology Clinics Market Forecasts 120
2.3.1 US Independent Radiology Imaging Centers 121
2.3.2 Erroneous Selection of Principal Diagnoses Impacting Reimbursement 122
2.3.3 Growth of the U.S. Healthcare Industry 126
2.4 Worldwide, Number of Patients and Procedures 128
2.5 Making The Shift To The Modern ICD-10 Requirements 132
2.6 Computer Assisted Coding Prices 133
2.7 Computer Assisted Coding Regional Analysis 134
2.7.1 3M 360 Encompass System 137

3. Computer Assisted Coding Product Description 138
3.1 3M 138
3.1.1 3M 360 Encompass System 139
3.1.2 3M 3M CodeAssist System 141
3.1.3 3M APR DRG Solutions Aspects 147
3.1.4 3M Merging Quality With Reimbursement 148
3.1.5 3M APR DRG Software 150
3.1.6 3 M Classification System For Patients 150
3.1.7 3M APR DRG Software Features: 153
3.1.8 3M Coding Technology 155
3.1.9 3M Computer-Assisted Coding Solutions 156
3.1.10 3M Medical Coding Tools Streamline Processes 156
3.1.11 CodeAssist Automating the Medical Coding Process 157
3.1.12 3M CodeComplete Outsource Solution for Medical Coding 158
3.1.13 3M DataScout Clinical Data Extraction and Identification 158
3.1.14 3M and American Academy of Professional Coders (AAPC) 160
3.1.15 3M Data Mining Technology 161
3.1.16 3M Systems for Overcoming Documentation Shortfalls 162
3.1.17 3M Solutions for a Changing Healthcare Landscape 166
3.1.18 3M Web-Based Coding Software Return on Investment 179
3.1.19 3M Coding Software Functions 181
3.1.20 3M Computer-Assisted Coding Solutions Targeted to Specialty Areas 183
3.1.21 3M CodeAssist Functions 184
3.1.22 3M CodeComplete Business Process Management 185
3.2 Dolbey 187
3.2.1 Dolbey Coding Productivity Management 189
3.2.2 Dolby Fusion Suite Modules 191
3.3 Optum Coding Service 195
3.3.1 Optum Coding 196
3.3.2 Optum CPT Codes 197
3.3.3 Optum Medicare Fee Schedule 197
3.4 McKesson 199
3.4.1 Mckesson Watching the Cash 200
3.4.2 McKesson Securing the Subsidy 201
3.4.3 McKesson Quality Control And Process Improvement 203
3.5 Cerner Computer Assisted Coding 204
3.6 Platocode Computer-Assisted Coding 207
3.6.1 Platocode ICD 10 210
3.6.2 Platocode Solution For Ambulatory Surgery 210
3.6.3 Platocode API 211
3.6.4 Communication Between 3rd-Party Applications And A Platocode Server 211
3.7 Nuance Computer Assisted Coding 211
3.7.1 Nuance Clinical Documentation Review 212
3.7.2 Nuance Clinical Documentation Compliance 213
3.7.3 Nuance Clintegrity Computer Assited Coding (CAC) 213
3.7.4 Nuance Clintegrity Computer Assisted Coding (CAC) Key Features 216
3.7.5 Nuance Clintegrity Facility Coding Solutions for Healthcare 216
3.7.6 Nuance Clintegrity Facility Coding 218
3.7.7 Nuance Clintegrity Computer Assisted Coding (CAC) Features 219
3.7.8 Nuance Clintegrity Physician Coding 220
3.7.9 Nuance Clinician Reimbursement Calculation 222
3.7.10 Nuance Clintegrity Compliance & ICD-10 Transition 223
3.7.11 Nuance Clintegrity Facility Coding 224
3.7.12 Nuance Clintegrity Abstracting 224
3.7.13 Nuance Clintegrity ICD-10 Education Services 226
3.7.14 Nuance Automated Coding 229
3.7.15 Nuance Natural Language Processing 230
3.7.16 Nuance Natural Language Understanding 230
3.7.17 Nuance Mapping and Modeling Disparate Controlled Medical Vocabularies (CMVs); 231
3.8 Artificial Medical Intelligence Emscribe CAC 231
3.8.1 Artificial Medical Intelligence EMscribe Dynamic Search 233
3.8.2 Artificial Medical Intelligence EMscribe Encoder 234
3.8.3 AMI EMscribe Dynamic Medical Term And Coding Search Tool 235
3.8.4 Artificial Medical Intelligence Autonomous Coding 236
3.8.5 Artificial Medical Intelligence (AMI) EMscribe Dx 237
3.9 CodeCorrect 240
3.9.1 CodeCorrect Capture Revenue and Maintain Compliance 240
3.9.2 CodeCorrect knowledge 240
3.9.3 CodeCorrect Medical Necessity Verification and APC Performance Tools 241
3.9.4 QuadraMed 242
3.10 M*Modal Coding 242
3.10.1 M*Modal Workflow 244
3.10.2 M*Modal Management Tools 244
3.10.3 M*Modal Single Platform 244
3.11 nThrive / MedAssets-Precyse and Equation 245
3.11.1 Precyse Medical Coding and Computer Assisted Coding 245

4. Computer Assisted Coding Research and Technology 248
4.1 Computer-Assisted Coding Technology 248
4.2 Hybrid Technology 252
4.2.1 Computer Assisted Coding Engine 252
4.3 Optum Computer Assisted Coding Technology 254
4.4 Preventable Medical Conditions 255
4.5 Natural Language Processing (NLP) Medical Coding 256
4.5.1 Rules Based Approaches 256
4.5.2 Reports Based On Statistics 256
4.5.3 Normalize the Data 257
4.6 Reports Must Be In Some Kind Of Electronic Format 257
4.6.1 NLP Software Statistical Analysis 258
4.6.2 Workflow 258
4.6.3 Feedback for Machine Learning 258
4.6.4 Coding 259
4.6.5 Accuracy And Specificity Of Retrieval 260
4.6.6 Natural Language Programming (NLP) Vocabulary Processor 260
4.6.7 Robust Underlying Terminological Model And A Component Architecture 261
4.7 TeSSI (Terminology Supported Semantic Indexing) 262
4.7.1 L&C’s LinkBase Medical Ontology 262
4.7.2 Semantic Indexing With The TeSSI Indexing Engine 263
4.7.3 Semantic Indexing Solution Automates The Indexing Process 264
4.7.4 Information Extraction with TeSSI Extraction Engine 267
4.7.5 Semantic Search with TeSSI Search Engine 268

5. Computer Assisted Coding Company Profiles 269
5.1 CAC Key Market Players 269
5.2 3M 270
5.2.1 3M Business 271
5.2.2 3M Health Care Segment 274
5.2.3 3M Electronics and Energy Business 275
5.2.4 3M Health Information Systems 275
5.3 Artificial Medical Intelligence 279
5.4 Cerner 279
5.4.1 Cerner Business 280
5.4.2 Cerner Acquired Siemens Health Services 281
5.4.3 Cerner 2016 Fourth Quarter and Full-Year Highlights: 281
5.5 Craneware 281
5.6 Dolbey 282
5.7 EPIC 282
5.8 Group One / CodeCorrect 283
5.9 M*Modal 284
5.10 nThrive 285
5.10.1 nThrive / Precyse 285
5.11 Nuance 286
5.11.1 Nuance Healthcare 287
5.11.2 Nuance Business Description 287
5.11.3 Nuance Key Metrics 288
5.11.4 Nuance Healthcare Trends 289
5.12 Quest Diagnostics 290
5.13 TruCode 291
5.14 UnitedHealth Group / Optum 292
5.14.1 UnitedHealth Group / Optum 293
5.14.2 UnitedHealth Group Optum Health Information Technology Acquires Clinical Data Analytics Vendor Humedica 293
5.14.3 Optum Acquires Physician Practice Management And Revenue Management Software Firm, MedSynergies and Support Arm of ProHealth Physicians Group 294
5.14.4 Optum MedSynergies Synergies 297
5.14.5 Optum Life Sciences 299
5.14.6 United Healthcare Revenue 300
5.15 Selected CAC Companies 302
WinterGreen Research, 303
WinterGreen Research Methodology 304
List of Figures

Figure 1. Computer Assisted Coding of Medical Information Market Driving Forces 19
Figure 2. Computer Assisted Coding of Medical Information Market Driving Factors 20
Figure 3. CAC Workstation Coder Benefits 22
Figure 4. CAC Management Tools 23
Figure 5. ELECTRONIC CODING SOLUTION MARKET DRIVING FORCES 27
Figure 6. ELECTRONIC CODING PRODUCT ISSUES 28
Figure 7. Computer Assisted Coding Software and Services Market Shares, Dollars, 2016 30
Figure 8. Computer Assisted Coding Market Forecast, Dollars, Worldwide, 2017-2024 32
Figure 9. Barriers to CAC 42
Figure 10. Electronic Coding Integrated Database Issues 52
Figure 11. Medical Necessity Online 53
Figure 12. Physician Office Computer Assisted Coding Key Benefits: 54
Figure 13. Natural Language Solutions System For Coding 56
Figure 14. Computerized Workflow System Systems Features 58
Figure 15. 3M Confidence Assessment Module System 60
Figure 16. Physician Practices and Ambulatory Care Centers CAC Market Driving Forces: 63
Figure 17. Computer Assisted Coding of Medical Information Market Driving Forces 64
Figure 18. Computer Assisted Coding of Medical Information Market Driving Factors 65
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
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 139
Figure 58. 3M 3M CodeAssist System Features 141
Figure 59. 3M Codefinder Functions 143
Figure 60. 3M Codefinder Features 144
Figure 61. 3M Codefinder Intelligent Functions 146
Figure 62. 3M APR DRG Solutions Aspects 147
Figure 63. 3M Applications For Severity- And Risk-Adjusted Data 149
Figure 64. 3M Classification System 152
Figure 65. 3M APR DRG Software Features 153
Figure 66. 3M Medical Coding Tools 157
Figure 67. 3M DataScout Functions 159
Figure 68. 3M Clinical Information Extraction Functions 160
Figure 69. 3M Systems For Overcoming Documentation Shortfalls Focus 163
Figure 70. 3M Systems Topics 164
Figure 71. 3M Systems Metrics Included For Computerized Coding 165
Figure 72. 3M Web-Based Coding Software Return On Investment Metrics 179
Figure 73. 3M Web-Based Coding Software Key Benefits 180
Figure 74. 3M Coding Software Functions 181
Figure 75. 3M Coding Software Features 181
Figure 76. 3M Internet-Based Computer-Assisted Medical Coding Target Markets 183
Figure 77. 3M CodeAssist Functions 185
Figure 78. 3M CodeComplete Functions 186
Figure 79. Dolbey Fusion CAC Benefits 188
Figure 80. Dolbey Computer-Assisted Coding Solution Features 190
Figure 81. Dolby Computer Assisted Coding CAC Fusion Suite Modules 193
Figure 82. Optum Computer-Assisted Coding (CAC) Intelligent CAC Functions: 195
Figure 83. Optum Coding Service 196
Figure 84. Optum Medicare Fee Schedule 198
Figure 85. McKesson Practice Management Priorities 200
Figure 86. Cerner Discern nCode Functions 205
Figure 87. Cerner Discern nCode Key Features 206
Figure 88. Platocode Process 208
Figure 89. PlatoCode Code Set Filters 209
Figure 90. Nuance Personnel Impacted by Transition to ICD-10 214
Figure 91. ICD-10 Critical Business Concerns: 215
Figure 92. Nuance Clintegrity Facility Coding Healthcare Solutions Platform Functions 217
Figure 93. Nuance Clintegrity Facility Coding Healthcare Solution Functions 218
Figure 94. Nuance Clintegrity Computer Assisted Coding (CAC) Professional Fee Coding Functions 221
Figure 95. Nuance Clintegrity Clinician Coding Features 222
Figure 96. Nuance Clintegrity Facility Coding Features 224
Figure 97. Nuance Clintegrity Platform Modules 225
Figure 98. Nuance Clintegrity Platform, Modules Customizable Data Collection Fields Features 226
Figure 99. Nuance Advantages Of Automating Coding With Clintegrity 228
Figure 100. Nuance Coding Algorithms 229
Figure 101. Nuance Mapping And Modeling Disparate Controlled Medical Vocabulary Functions 231
Figure 102. Artificial Medical Intelligence EMscribe CAC 232
Figure 103. Artificial Medical Intelligence EMscribe Dynamic Search 233
Figure 104. Artificial Medical Intelligence (Ami) Emscribe Dx Benefits 239
Figure 105. Precyse Coding Services 246
Figure 106. PrecyseCode CAC Coding Functions 247
Figure 107. Computer Assisted Technology Functions 249
Figure 108. How ICD-9 and ICD-10 Are Different 253
Figure 109. ICD-9 and ICD-10 Different Formats 254
Figure 110. Semantic Indexing for Medical Ontology 265
Figure 111. Semantic Process Flow Index Component Medical Ontology 266
Figure 112. Information Extraction With Tessi Extraction Engine Functions 267
Figure 113. 3M 360 Encompass 1,500 Hospitals And Healthcare User Organizations 278
Figure 114. Current EPIC Computer Assisted Coding CAC Integrations 282 



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