DUBLIN--(BUSINESS WIRE)--The "Natural Language Processing: Unlocking the Potential of a Digital Healthcare Era" report has been added to ResearchAndMarkets.com's offering.
This report describes a dozen significant NLP healthcare use cases, including computer-assisted coding, speech recognition, and data mining.
Five of these solutions have proven ROI and are commercially available from numerous well-established vendors. Another four are going through the initial phase of the adoption cycle and are primed to have an immediate impact under the new value-based care paradigm.
These solutions focus on identifying the highest-cost patients earlier, tracking basic quality metrics related to annual follow-up, and reducing readmissions.
The last group of solutions will mature over the next three-plus years and includes computational Phenotyping for precision medicine, ambient virtual scribes to improve the electronic health record (EHR) user experience, and digital biomarker discovery using advanced voice-based diagnostic techniques.
There are many challenges to developing sophisticated NLP applications; these include the complexity of natural language, multiple technology approaches, and choice of metrics to measure success.
Implementing NLP brings yet more challenges, including hiring people with specialized skills and achieving data liquidity. While these challenges are not insurmountable, they require a full appreciation of what it will take to succeed.
This report provides insights and advice for HCOs that are considering, implementing, and deploying NLP technologies.
- Artificial Intelligence in Medicine (an Inspirata Company)
- Digital Reasoning
- EHR Vendors
- Google & Verily
- Health Catalyst
- Health Fidelity
- IBM Watson Health
- Linguamatics Health
- Medicine (Inspirata)
Key Topics Covered
1. Executive Summary
2. Market Dynamics
3. Types of NLP Systems and Methodologies
4. Implementation Challenges of NLP Solutions
5. Customer Types and End Users
6. Primary NLP Use Cases in Healthcare
7. NLP - Unlocking the Potential of a Digital Healthcare Era
8. Barriers to Adoption
9. NLP Vendor Landscape
10. NLP Vendor Profiles
11. Future NLP Market Players
12. Conclusions and Recommendations
13. Meet the Authors
For more information about this report visit https://www.researchandmarkets.com/research/ztn8jc/natural_language?w=4