Large Group Physician Practice Computer Assisted Coding for Professionals Market Report 2016-2023: Shares, Strategies, and Forecasts for the $1.1 Billion Market – Research and Markets
The worldwide market for large group physician practice computer assisted coding at
Large physician practices seek next generation computer assisted coding to support further automation of the billing process and use of analytics to achieve higher and faster payments for services rendered.
The complete report provides a comprehensive analysis of Large Group Physician Practice 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 practices and ambulatory clinical facilities. 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.
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
Key Topics Covered:
Large Group Physician Practice Computer Assisted Coding Executive Summary
1. Large Physician Practice and Ambulatory Treatment Center Computer Assisted Coding Market Description and Market Dynamics
1.1 Physician Office Coding Challenge
1.1.1 Physician Practice Services Component of 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 for Large Physician Offices
1.2 Computer-Assisted Coding
1.2.1
1.2.2 Application of CAC Technology In Large Physician Offices
1.3 Development of a CAC Tool For Physician Use
1.3.1 Large Physician Office 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
1.4.1 Building a
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 Large Physician Office 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 Large Physician Office CAC for Coders
2.1.4 Large Physician Office Computer Assisted Coding Best Practice
2.1.5 Large Physician Office Computer Assisted Coding Medical Information Solutions
2.1.6 Large Physician Office 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
2.2.2 Optum Automated Code Identification
2.2.3
2.2.4 3M
2.2.5 3M
2.2.6 3M Merging Quality With Reimbursement
2.2.7 nThrive / Precyse
2.2.8 Dolbey
2.2.9 McKesson
2.3 Natural Language Computer Assisted Coding of Medical Procedures Forecasts
2.3.1
2.3.2 CAC Hospitals and Facilities and Physicians Market Segment
2.3.3 Computer Assisted Coding Physician Market
2.3.4 Growth of the
2.4 Making the Shift To ICD-10 Requirements
2.5 Computer Assisted Coding Prices
2.6 Computer Assisted Coding Regional Analysis
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
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
3.2 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
4.
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 Natural Language Processing (NLP) Medical Coding
4.4.1 Rules Based Approaches
4.4.2 Reports Based On Statistics
4.4.3 Normalize the Data
4.5 Reports Must Be In Some Kind Of Electronic Format
4.5.1 NLP Software Statistical Analysis
4.5.2 Workflow
4.5.3 Feedback for Machine Learning
4.5.4 Coding
4.5.5 Accuracy And Specificity Of Retrieval
4.5.6 Natural Language Programming (NLP) Vocabulary Processor
4.5.7 Robust Underlying Terminological Model And A Component Architecture
4.6 TeSSI® (Terminology Supported Semantic Indexing)
4.6.1 L&C's LinkBase® Medical Ontology
4.6.2 Semantic Indexing With The TeSSI® Indexing Engine
4.6.3 Semantic Indexing Solution Automates The Indexing Process
4.6.4 Information Extraction with TeSSI® Extraction Engine
4.6.5 Semantic Search with TeSSI® Search Engine
5. Computer Assisted Coding Company Profiles
5.1 CAC Key Market Players
5.2 3M
5.2.1 3M Business
5.2.2 3M Health Care Segment
5.2.3 3M Electronics and Energy Business
5.2.4
5.3 Cerner
5.3.1 Cerner Business
5.3.2
5.3.3 Cerner 2016 Fourth Quarter and Full-Year Highlights:
5.4 Dolbey
5.5 EPIC
5.6 Group One / CodeCorrect
5.7 M*Modal
5.8 nThrive
5.8.1 nThrive / Precyse
5.9 Nuance
5.9.1
5.9.2 Nuance Business Description
5.9.3 Nuance Key Metrics
5.9.4 Nuance Healthcare Trends
5.10 Quest Diagnostics
5.11 TruCode
5.12 UnitedHealth Group /
5.12.1 UnitedHealth Group /
5.12.2 UnitedHealth Group Optum Health Information Technology Acquires Clinical Data Analytics Vendor Humedica
5.12.3 Optum Acquires Physician Practice Management And Revenue Management Software Firm,
5.12.4 Optum MedSynergies Synergies
5.12.5 Optum Life Sciences
5.12.6 United Healthcare Revenue
5.13 Selected CAC Companies
For more information about this report visit http://www.researchandmarkets.com/research/s4j7g5/large_group
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