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.

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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.

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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.

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.

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

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

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

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