|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Natural Language Processing:Healthcare Achieving Benefits via NLP |
| Authors Name: | Adarsh Kumar , Anjali Gond |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_211826
|
| Published Paper Id: | IJNRD2312422 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | The field of Natural Language Processing (NLP) within computer science presents a complex challenge due to the wide variety of linguistic nuances across different languages. NLP involves dividing language into semantic parts like parts of speech and phrases. Its origins trace back to the early 1940s during World War 2, driven by the need for autonomous language translation machinery. NLP, a part of AI technology, employs tools that concentrate on linguistic-conceptual relationships rather than just textual analysis, structuring and extracting meaningful data from unstructured text. One significant application of NLP is the advancement of the healthcare system. Electronic Health Record (EHR) systems revolutionized medical practice, enabling efficient diagnosis, elimination of errors, and faster treatment initiation. NLP's ability to interpret unstructured data from medical records facilitated quicker and more effective analysis, improving patient care. During the COVID-19 pandemic, EHR systems played a crucial role in coordinating patient care and surveillance. NLP also supports Clinical Decision Support Systems (CDSS), aiding medical decision-making by providing tailored clinical knowledge and patient information. Knowledge-based and non-knowledge-based CDSS utilize artificial intelligence, helping prevent medication errors and improving patient safety. The adoption of Voice Recognition (VR) and speech recognition tools, such as Dragon Medical One, surged among medical professionals globally, enhancing clinical documentation quality and saving time on transcription. NLP's impact extends to clinical trial matching, automating the process of selecting suitable patients based on specific criteria, thereby increasing efficiency, accuracy, and patient safety. The Internet of Medical Things (IoMT) is an emerging technology that connects various healthcare devices and wearable, providing real-time monitoring, improved patient outcomes, and remote patient care. Recent innovations, like the AI-based vision therapy software CureSee and AI's role in detecting Alzheimer's disease, have shown great promise in revolutionizing patient care and early disease detection. To support these advancements, organizations like SyTrue use AI, machine learning, and NLP to improve payment integrity, risk adjustment, and chart review processes, leading to increased efficiency and higher ROI. Moreover, AI-powered clinical note generation using services like Amazon Transcribe simplifies the conversion of speech to text, enhancing medical documentation and facilitating data-driven decision-making. In conclusion, the diverse applications of AI and NLP in healthcare have significantly improved the industry, enabling accurate diagnostics, personalized medicine, predictive analytics, drug discovery, remote monitoring, administrative efficiency, and innovative treatment approaches. As AI continues to evolve, its impact on the healthcare system promises to be transformative, leading to better patient outcomes, reduced costs, and improved accessibility to healthcare services. |
| Keywords: | Artificial intelligence, Advanced healthcare systems, Clinical Practice by using AI, medical industry, Clinical decision support. |
| Cite Article: | "Natural Language Processing:Healthcare Achieving Benefits via NLP", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.e244-e252, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312422.pdf |
| Downloads: | 000118823 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2312422 Registration ID: 211826 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: e244-e252 Country: Agra, Uttar Pradesh, India Research Area: Life Sciences Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312422 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312422 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn