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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: | Data Science and Business Analytics Models and Applications in Mental Health |
| Authors Name: | LEELAKUMARRAJA LEKKALA |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_200570
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| Published Paper Id: | IJNRD2307007 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | http://doi.one/10.1729/Journal.35084 |
| Abstract: | The rapid advancements in mobile computing, cloud computing, and artificial intelligence (AI) have opened new possibilities for transforming healthcare delivery. The significant benefits of leveraging the enhanced capabilities of these technologies and their emerging trends, such as "mobile first" healthcare, the Internet of Things (IoT), and IoT-enabled assistive technologies, are expected to impact healthcare delivery systems positively. The power of mobile computing, cloud computing, and AI in healthcare delivery is only beginning to be realized. Mobile healthcare applications, such as electronic health records (EHRs) that allow users to access their information from any location via mobile devices have already provided several tangible benefits. The applications have significantly improved patient safety through real-time data sharing and instant medical records and metrics access. This manuscript explores the integration of these technologies in the healthcare industry, with a specific focus on the combination of Fast Healthcare Interoperability Resources (FHIR) and AI. Leveraging the power of FHIR and AI, healthcare providers can enhance clinical decision support, improve predictive modeling, and ultimately enhance patient outcomes. This manuscript discusses the benefits, challenges, and considerations associated with integrating mobile computing, cloud computing, and AI in healthcare and highlights the potential for revolutionizing healthcare delivery. The results section presents the potential benefits of integrating mobile computing, cloud computing, and AI in healthcare. It discusses how AI-powered analytics tools can process and analyze structured FHIR data, discovering new correlations, risk factors, and treatment options. |
| Keywords: | mobile computing; cloud computing; Fast Healthcare Interoperability Resources; artificial intelligence; healthcare delivery; clinical decision support; predictive modeling |
| Cite Article: | "Data Science and Business Analytics Models and Applications in Mental Health", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.a47-a52, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307007.pdf |
| Downloads: | 000118767 |
| 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 |
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Published Paper ID:IJNRD2307007 Registration ID: 200570 Published In: Volume 8 Issue 7, July-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.35084 Page No: a47-a52 Country: Louisville, KY, United States Research Area: Health Science Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2307007 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2307007 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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