Computer Assisted Coding Market will be reach $5.1 billion by 2023 | Segmentation : In-Depth Overview and Region-wise Outlook (3M, Optum, Dolbey)

Press Release - 12 Mar 2018

Global Research and Development News --
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Report Description-
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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.
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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.

“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.

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. 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
1. 3M
2. Optum
3. Dolbey

Selected Market Participants
1. Artificial Medical Intelligence
2. Cerner
3. Craneware
4. EPIC
5. Group One / CodeCorrect
6. M*Modal
7. nThrive / Precyse
8. Nuance
9. Quest Diagnostics
10. TruCode
11. UnitedHealth Group / Optum

Key Topics
1. Natural Language Coding
2. NLC
3. Computer Assisted Coding
4. CAC
5. Rules Based Coding Technology
6. Medical Coding
7. Medical Necessity
8. Electronic Medical Record
9. Electronic Medical Coding
10. Natural language solutions
11. Computerized medical workflow
12. Claims scrubbers
13. Tessi® (terminology supported semantic indexing)
14. Electronic coding for physicians
15. Medical necessity
16. Correct coding tools
17. Physician electronic medical record (emr) systems
18. Language and computing
19. Ontology assisted solutions
20. Diagnosis codes
21. Procedure codes
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– More Clear Details get Table of Contents https://www.researchmoz.us/computer-assisted-coding-market-shares-strategies-and-forecasts-worldwide-2016-to-2022-report.html/toc
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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 Market Description And Market Dynamics 34
1.1 Coding Challenge 34
1.1.1 Computer Assisted Coding (CAC) 34
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 38
1.2.1 Physician Practice Industry Forces Affecting Development of CAC 39
1.2.2 Application of CAC Technology 41
1.3 Development of a CAC Tool For Hospital Inpatient Use 42
1.3.1 CAC Impact on the Coding Workflow 42
1.3.2 Computers Replace Human Coders 42
1.3.3 CAC Applied Without Human Intervention Depends On Critical Differences Between CAC Systems 43
1.4 Healthcare Industry Largest In United States 44
1.4.1 Building a Safer Health System 46
1.4.2 Facilitating the Use of Technology in the Healthcare Industry 47
1.4.3 Prescription Drug Modernization 48
1.5 Medical Necessity and Medical Necessity Errors 49
1.6 Physician Office Electronic Coding 50
1.6.1 CAC Automates and Accelerates Auditing 54
1.7 Natural Language Solutions 54
1.7.1 State Of Language Technology Evaluation 55
1.8 Computerized Workflow System 57
1.8.1 Confidence Assessment Module 58
1.8.2 Researching Electronic Coding Products: 60
2. Computer Assisted Coding Market Shares And Forecasts 61
2.1.1 Medical Best Practice Linking 64
2.1.2 CAC for Coders 64
2.1.3 Computer Assisted Coding Best Practice 67
2.1.4 Coding Solutions 69
2.1.5 Physician Computer Assisted Coding Services 71
2.2 Natural Language Computer Assisted Coding Market Shares 72
2.2.1 3M 75
2.2.2 3M 77
2.2.3 3M Merging Quality With Reimbursement 80
2.2.4 Optum 81
2.2.5 Optum Automated Code Identification 82
2.2.6 Optum 85
2.2.7 nThrive / Precyse 86
2.2.8 Dolbey 86
2.2.9 McKesson 88
2.2.10 Cerner 90
2.2.11 TruCode 90
2.3 Natural Language Computer Assisted Coding of Medical Procedures Forecasts 90
2.3.1 CAC Market Software and Services Segmentation 94
2.3.2 CAC Hospitals and Facilities and Physicians Market Segment 96
2.3.3 Computer Assisted Coding Physician Market 98
2.3.4 Worldwide Computer Assisted Coding, Hospitals and Facilities and Physicians 100
2.3.5 CAC Software Market Hospital and Physician Segments 102
2.3.6 CAC Services Market Segment 103
2.3.7 US Computer Assisted Coding Physician Software License / Maintenance and Cloud SaaS Services 104
2.3.8 Physicians Computer Assisted Coding 107
2.3.9 US Computer Assisted Coding Software Units 110
2.3.10 US Computer Assisted Coding Software / Cloud Services for Independent Radiology Clinics Market Forecasts 112
2.3.1 US Independent Radiology Imaging Centers 113
2.3.2 Erroneous Selection of Principal Diagnoses Impacting Reimbursement 114
2.3.3 Growth of the U.S. Healthcare Industry 118
2.4 Worldwide, Number of Patients and Procedures 120
2.5 Making The Shift To The Modern ICD-10 Requirements 124
2.6 Computer Assisted Coding Prices 125
2.7 Computer Assisted Coding Regional Analysis 126
2.7.1 3M 360 Encompass System 129
3. Computer Assisted Coding Product Description 130
3.1 3M 130
3.1.1 3M 360 Encompass System 131
3.1.2 3M 3M CodeAssist System 133
3.1.3 3M APR DRG Solutions Aspects 139
3.1.4 3M Merging Quality With Reimbursement 140
3.1.5 3M™ APR DRG Software 142
3.1.6 3 M Classification System For Patients 142
3.1.7 3M APR DRG Software Features: 145
3.1.8 3M Coding Technology 147
3.1.9 3M Computer-Assisted Coding Solutions 148
3.1.10 3M Medical Coding Tools Streamline Processes 148
3.1.11 CodeAssist Automating the Medical Coding Process 149
3.1.12 3M CodeComplete Outsource Solution for Medical Coding 150
3.1.13 3M DataScout Clinical Data Extraction and Identification 150
3.1.14 3M and American Academy of Professional Coders (AAPC) 152
3.1.15 3M Data Mining Technology 153
3.1.16 3M Systems for Overcoming Documentation Shortfalls 154
3.1.17 3M Solutions for a Changing Healthcare Landscape 158
3.1.18 3M Web-Based Coding Software Return on Investment 171
3.1.19 3M Coding Software Functions 173
3.1.20 3M Computer-Assisted Coding Solutions Targeted to Specialty Areas 175
3.1.21 3M CodeAssist Functions 176
3.1.22 3M CodeComplete Business Process Management 177
3.2 Dolbey 179
3.2.1 Dolbey Coding Productivity Management 181
3.2.2 Dolby Fusion Suite Modules 183
3.3 Optum Coding Service 187
3.3.1 Optum Coding 188
3.3.2 Optum CPT® Codes 189
3.3.3 Optum Medicare Fee Schedule 189
3.4 McKesson 191
3.4.1 Mckesson Watching the Cash 192
3.4.2 McKesson Securing the Subsidy 193
3.4.3 McKesson Quality Control And Process Improvement 195
3.5 Cerner Computer Assisted Coding 196
3.6 Platocode® Computer-Assisted Coding 199
3.6.1 Platocode ICD 10 202
3.6.2 Platocode® Solution For Ambulatory Surgery 202
3.6.3 Platocode® API 203
3.6.4 Communication Between 3rd-Party Applications And A Platocode Server 203
3.7 Nuance Computer Assisted Coding 203
3.7.1 Nuance Clinical Documentation Review 204
3.7.2 Nuance Clinical Documentation Compliance 205
3.7.3 Nuance Clintegrity Computer Assited Coding (CAC) 205

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