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Journal of Cognitive Human-Computer Interaction

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Journal of Cognitive Human-Computer Interaction

Volume 1 , Issue 1 , PP: 8-17, 2021 | Cite this article as | XML | Html | PDF | Full Length Article

Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique

Ashok Kumar M 1 * , Abirami A 2 , Sindhu P 3 , Ashok Kumar V D 4 , Rani V 5

  • 1 Faculty of Computer Science , Skyline University, Kano, 700103, Nigeria - (ashok.kumar@sun.edu.ng)
  • 2 Computer System Engineering Department, Madha Engineering College, Anna University, Chennai, 600069, India - (abirameshnaresh@gmail.com)
  • 3 Department of Computer Science and Engineering , Rajiv Gandhi College of Engineering, Anna University, 602105, India - (sindhupandi26@gmail.com )
  • 4 Department of Computer Science and Engineering , St.Peter’s University, Chennai, 600054, India - (akumar2879@gmail.com)
  • 5 Technical Officier, ICMR (NIRT), Chennai,600 031, India - (ranijeeva2011@gmail.com)

    • Doi: https://doi.org/10.54216/JCHCI.010102

    Abstract

    The number of mobile Medicare applications has grown exponentially over the past few years, and it is expected to continue to grow soon. The use of health apps promises to be a good way to improve patient care and make work easier for professional. However, some cases of malfunction or misdiagnosis and treatment recommendations have been reported. Regulation is essential to protect users and support product development. So, to suppress the malfunctions we present a pharmacopeia Medicare app in which the customer can see the original profile and the specification of any stimulant with its useful information. This inculcates a clean process which procures a less chance of misapplication of the drugs. These mobile medical app companies have improved access to clinical references and point of care tools. However, it is difficult to identify mobile medical apps that are suitable for the practice of pharmacy. This app is entirely based on our experience in accrediting websites with health-related content and journal.

    Keywords :

    malfunction, pharmacopeia, safeguard

    References

    [1]     Visser BJ, BuijinkAW. Need to peer-review medical applications for smart phones. J TelemedTelecare 2012;18:124.

    [2]     Visvanathan A, Hamilton A, Brady RR. Smartphone apps in microbiology-is better regulation required? ClinMicrobiolInfect 2012;18:E218–20.

    [3]     Buijink AW, Visser BJ, Marshall L. Medical apps for smartphones: lack of evidence undermines quality and safety. Evid Based Med. 2013 Jun;18(3):90-2. doi: 10.1136/eb-2012-100885. Epub 2012 Aug 25. PMID: 22923708.

    [4]     Research2Guidance. Global smart phone application market report 2010, update 1st half year 2010. 2010. .

    [5]     Blaya JA, Fraser HS, Holt B. E-health technologies show promise in developing countries. Health Aff (Millwood). 2010 Feb;29(2):244-51. doi: 10.1377/hlthaff.2009.0894. PMID: 20348068.

    [6]     Kailas A, Chong CC, Watanabe F. From mobile phones to personal wellness dashboards. IEEE Pulse. 2010 Jul-Aug;1(1):57-63. doi: 10.1109/MPUL.2010.937244. PMID: 20875965.

    [7]     Franko OI, Tirrell TF. Smartphone app use among medical providers in ACGME training programs. J Med Syst. 2012 Oct;36(5):3135-9. doi: 10.1007/s10916-011-9798-7. Epub 2011 Nov 4. PMID: 22052129.

    [8]     Boyer C, Selby M, Scherrer JR, Appel RD. The Health On the Net Code of Conduct for medical and health Websites. Comput Biol Med. 1998 Sep;28(5):603-10. doi: 10.1016/s0010-4825(98)00037-7. PMID: 9861515.

    [9]     Baumgart DC. Smartphones in clinical practice, medical education, and research. Arch Intern Med 2011;171:1294–6.

    [10]  Apple Press Info. Apple’s App Store Downloads Top 15 Billion.http://www.apple.com/pr/library/2011/07/07Apples-App-Store-Downloads-Top-15-Billion.html. (accessed20 Aug 2012).

    [11]  Robinson F, Jones C. 2014. Women's engagement with mobile device  applications in pregnancy and childbirth. Pract Midwife. 17(1), 23-25. PubMed. 

    [12]  Muessig KE, Pike EC, LeGrand S, Hightow-Weidman LB. 2013. Mobile Phone    Applications for the Care and Prevention of HIV and Other Sexually Transmitted Diseases: A Review. J Med Internet Res. 15(1). PubMed http://dx.doi.org/10.2196/jmir.2301.

    [13]  Chhablani J, Kaja S, Shah V. Smartphones in ophthalmology2012 March 1, 2012. 127-31p.

    [14]  BinDhim NF, Shaman A M, Trevena L, Basyouni MH, Pont LG, Alhawassi TM.   2015. Depression screening via a smartphone app: cross-country user characteristics and  feasibility. J Am Med Inform Assoc. 22(1), 29-34. PubMed.

    [15]  Abroms LC, Padmanabhan N, Thaweethai L, Phillips T. 2011. iPhone Apps for  

    [16]  Smoking Cessation: A Content Analysis. Am J Prev Med. 40(3), 279-85. PubMed http://dx.doi.org/10.1016/j.amepre.2010.10.032.

    [17]  Rosser BA, Eccleston C. Smartphone applications for pain management. J TelemedTelecare 2011;17:308–12.

     

    Cite This Article As :
    Kumar, Ashok. , A, Abirami. , P, Sindhu. , Kumar, Ashok. , V, Rani. Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Cognitive Human-Computer Interaction, vol. , no. , 2021, pp. 8-17. DOI: https://doi.org/10.54216/JCHCI.010102
    Kumar, A. A, A. P, S. Kumar, A. V, R. (2021). Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Cognitive Human-Computer Interaction, (), 8-17. DOI: https://doi.org/10.54216/JCHCI.010102
    Kumar, Ashok. A, Abirami. P, Sindhu. Kumar, Ashok. V, Rani. Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Cognitive Human-Computer Interaction , no. (2021): 8-17. DOI: https://doi.org/10.54216/JCHCI.010102
    Kumar, A. , A, A. , P, S. , Kumar, A. , V, R. (2021) . Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Cognitive Human-Computer Interaction , () , 8-17 . DOI: https://doi.org/10.54216/JCHCI.010102
    Kumar A. , A A. , P S. , Kumar A. , V R. [2021]. Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique. Journal of Cognitive Human-Computer Interaction. (): 8-17. DOI: https://doi.org/10.54216/JCHCI.010102
    Kumar, A. A, A. P, S. Kumar, A. V, R. "Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique," Journal of Cognitive Human-Computer Interaction, vol. , no. , pp. 8-17, 2021. DOI: https://doi.org/10.54216/JCHCI.010102

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