Some of the most ground-breaking capabilities of Artificial Intelligence (AI) include listening, speaking, writing, and understanding human language. Natural Language Processing (NLP) is a subset of AI that extracts meaning from human language. It focuses on content extraction, classification, machine translation, question answering, and text or speech generation. It is predominantly used for text mining, augmenting workflows, assisting in inquiry answering, and machine translation for recurring tasks.
Applying NLP within Healthcare Technology Operations
In healthcare technology, there are four key areas of focus and application for NLP:
- Patient Care and Outcomes
- Clinician Experience
- Consumer Engagement
The analysis of unstructured, free-form text cuts across all four of these key areas.
The Clinical Documentation process benefits from NLP through algorithmic automation of key findings and summarizations, offering real-time physician documentation improvements. NLP applies conversion and classification techniques for computer assisted clinical documentation improvement through real-time translation factors and acting as a digital scribe. NLP aids in quality measure improvements within care delivery, advancing value-based care by pulling the relevant information together for the clinician.
NLP is used in population health clinical decision support by providing easily accessible information at the point of care and time in which it is needed. NLP also provides digital speech analysis for clinical diagnoses, appropriately translating and storing the right information in the Electronic Medical Record for use across the care continuum.
NLP is commonly applied to workflow management for computer assisted coding, augmenting the process and helping the coder make the best decisions. In research and design applications, NLP is used to automate patient screening for clinical trials and review of real-world evidence. Another consumer application for NLP includes consumer health literacy within the patient portal process, which can help patients gain insight into their medical records and clinician notes.
The intention is to better engage patients with more information about their health. Still, these tools fall short when patients are overwhelmed with medical jargon they do not necessarily understand. NLP algorithms identify complex medical terms and translate them into everyday language the patient can easily understand, which leads to more meaningful conversations with their clinician and ultimately, better health outcomes.
Your organization can benefit from Natural Language Processing solutions. Vee Technologies can help you succeed, whether it is a simple chat-bot or integrating NLP across the care continuum to reduce operational expenses and improve patient care and outcomes.
Vee Technologies can help enable your NLP aspirations!