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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) |
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| Paper Title: | MEDICINE ADVICE BY BOT |
| Authors Name: | NANDINENI VENKATA NAIDU , P.K.G.G.GUPTHA , MAHESH BABU ORCHU |
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IJNRD_216199
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| Published Paper Id: | IJNRD2403514 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | In the era of rapid technological advancement, artificial intelligence (AI) has emerged as a transformative force across various industries, including healthcare. One significant application of AI in healthcare is the development of chatbots and virtual assistants capable of providing medicine advice. This pa- per explores the evolution, current state, and potential impact of medicine advice bots in healthcare, shedding light on the benefits and challenges associated with their adoption. The evolution of medicine advice bots can be traced back to the early 2000s, with the emergence of simple rule-based systems offering basic health information and reminders. However, recent advancements in natural language processing (NLP) and machine learning have catapulted these bots to a new level of sophistication. Today, they are capable of understanding and responding to complex medical queries, providing personalized medication recommendations, and even assisting in remote patient monitoring. One of the primary advantages of medicine advice bots is their accessibility. They are available 24/7, providing immediate responses to user inquiries, which can be crucial in emergency situations. More- over, these bots can serve as a valuable resource for individuals seeking health information and medication guidance, reducing the burden on healthcare professionals and minimizing the risk of misinformation. However, the adoption of medicine advice bots is not without its challenges.Ensuring compliance with healthcare regulations such as HIPAA (Health Insurance Portability and Accountability Act) is essential to maintain patient confidentiality and trust. Additionally, there is a need for ongoing research and development to enhance the accuracy and reliability of these bots, as errors in medication advice can have severe consequences Despite these challenges, the potential impact of medicine advice bots on healthcare is substantial. They can significantly improve medication adherence by sending timely reminders and providing comprehensive information about prescribed drugs. Moreover, they have the potential to reduce healthcare costs by preventing medication errors, hospital readmissions, and unnecessary doctor visits. In the context of chronic conditions, these bots can serve as valuable companions, offering continuous support and education to patients. |
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| Cite Article: | "MEDICINE ADVICE BY BOT", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f111-f114, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403514.pdf |
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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 |
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Published Paper ID:IJNRD2403514 Registration ID: 216199 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f111-f114 Country: pulivendula, andhra pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403514 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403514 |
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ISSN: 2456-4184
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