A WEB based Information System for Pregnancy Women

Authors

  • Eman Mohammed Bin Muadhah Asia Pacific University of Technology and Innovation Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia Author
  • Nur Khairunnisha Zainal Asia Pacific University of Technology and Innovation Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia Author
  • Intan Farahana Kamsin Asia Pacific University of Technology and Innovation Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia Author

DOI:

https://doi.org/10.61841/1jq9p847

Keywords:

E-Health, Health, Informatics, Pregnancy, Knowledge Management

Abstract

 This paper proposes Pregnancy knowledge management system website platform in which it to be controlled by gynaecology organizations. This enables the organizations to allocate and collect data of pregnant patients and their activities within the website. The main purposes of this website is to provide authenticated and certified health information within its’ search tool with collaboration of Health on the Net Foundation besides providing information like doctors posted researches, pregnancy workouts, appointments calendar, to-do list, hospital bag, provides a web-based platform for mothers and doctors to be able to interact as direct online consultation within the system. This website may be widely used by the pregnant mothers since smart phones/laptops have become common and affordable for all. Based on the user acceptance tests which were conducted, the system can be evaluated as a success. This is because the pregnancy website knowledge management system managed to fulfil the approval of mainstream users. 

Downloads

Download data is not yet available.

References

[1] C. L. English, “Evaluation of Health Information Websites on Labor And Birth,” University of North

Carolina , Chapel Hill, 2017.

[2] A. Zürcher, “E-Health,” [Online]. Available: https://www.swisscom.ch/en/business/enterprise/offer/ehealth.html. [Accessed 12 October 2018].

[3] H. C. Ossebaard and L. V. Gemert-Pijnen, “eHealth and quality in health care: implementation time,”

International Journal for Quality in Health Care, vol. 28, no. 3, p. 415–419, 2016.

[4] G. Eysenbach, “What's e health?,” J Med Internet Res, vol. E20, no. 2001, p. 3(2), 2001.

[5] C. I. o. H. Insurances, “eHealth Innovations: empowering patients, enabling better health care,” 2017.

[Online]. Available: http://www.cihr-irsc.gc.ca/e/47342.html. [Accessed 12 October 2018].

[6] N. J. Elbert, H. v. Os-Medendorp, W. v. Renselaar, A. G. Ekeland, L. H.-v. Roijen, H. Raat, T. E. Nijsten and

S. G. Pasmans, “Effectiveness and Cost-Effectiveness of eHealth Interventions in Somatic Diseases: A

Systematic Review of Systematic Reviews and Meta-Analyses,” J Med Internet Res, vol. e110, p. 16 (4) ,

2014.

[7] J. K. Jr, “Health Ministry launches Malaysian Health Data Warehouse,” 2017. [Online]. Available:

https://www.thestar.com.my/news/nation/2017/04/18/health-ministry-launches-malaysian-health-datawarehouse/. [Accessed 12 October 2018].

[8] J. F. v. d. Heuvel, T. K. Groenhof, J. H. Veerbeek, W. W. v. Solinge, A. T. Lely, A. Franx and M. N. Bekker,

“eHealth as the Next-Generation Perinatal Care,” J Med Internet Res, vol. e202, p. 20(6), 2018.

[9] S. Khanum, M. d. L. d. Souza, A. Sayyed and N. Naz, “Designing a Pregnancy Care Network for Pregnant

Women,” MDPI, vol. 5, no. 80, pp. 1-16, 2017.

[10] [10] S. Hlabangane, “mHealth: Giving Pregnant Women Access to Better Healthcare,” 2018. [Online].

Available: https://ehealthnews.co.za/mhealth-pregnant-women-healthcare/. [Accessed 15 October 2018].

[11] LogicalDOC, “Knowledge Management Software,” [Online]. Available:

https://www.logicaldoc.com/solutions/knowledge-management. [Accessed 14 October 2018].

[12] archer-soft, “Why is Data Collection Important in Healthcare,” 2013. [Online]. Available:

https://www.archer-soft.com/en/blog/why-data-collection-important-healthcare. [Accessed 12 October 2018].

[13] C. Boyer, “When the quality of health information matters: Health on the Net is the Quality Standard for

Information You can Trust,” 5 September 2013. [Online]. Available:

https://www.hon.ch/Global/pdf/HONpresentation_Sep2013.pdf. [Accessed 15 October 2018].

[14] T. HON, “About health on the net,” 2018. [Online]. Available: https://www.healthonnet.org/en/about.html.

[Accessed 17 September 2018].

[15] T. Torrey, “Using HON to Find Credible Internet Health Information,” 2018. [Online]. Available:

https://www.verywellhealth.com/health-on-the-net-2615418. [Accessed 17 September 2018].

[16] G. Eason, B. Noble, and I.N. Sneddon, “On certain integrals of Lipschitz-Hankel type involving products of

Bessel functions,” Phil. Trans. Roy. Soc. London, vol. A247, pp. 529-551, April 1955. (references)

[17] J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68-

73.

[18] P. Mary Jeyanthi, Santosh Shrivastava Kumar “The Determinant Parameters of Knowledge Transfer among

Academicians in Colleges of Chennai Region”, Theoretical Economics Letters, 2019, 9, 752-760.

[19] P. Mary Jeyanthi, “An Empirical Study of Fraudulent and Bankruptcy in Indian Banking Sectors”, The

Empirical Economics Letters, Vol.18; No. 3, March 2019, ISSN: 1681-8997, which is in C category of

ABDC List. http://www.eel.my100megs.com/volume-18-number-3.htm

[20] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Hybrid Metaheuristic techniques”, International

Journal of Business Intelligence Research, - Volume 5, Issue 1, April-2014.

[21] P. Mary Jeyanthi, “INDUSTRY 4.O: The combination of the Internet of Things (IoT)and the Internet of

People (IoP)”, Journal of Contemporary Research in Management, Vol.13; No. 4 Oct-Dec, 2018, ISSN:

0973-9785.

[22] P. Mary Jeyanthi, "The transformation of Social media information systems leads to Global business: An

Empirical Survey", International Journal of Technology and Science (IJTS), issue 3, volume 5, ISSN Online:

2350-1111 (Online). URL: http://www.i3cpublications.org/M-IJTS-061801.pdf

[23] P. Mary Jeyanthi,” An Empirical Study of Fraud Control Techniques using Business Intelligence in Financial

Institutions”, Vivekananda Journal of Research Vol. 7, Special Issue 1, May 2018, Page no: 159-164.

[24] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Artificial bear Optimization Approach”,

International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013.

[25] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Optimization techniques for Decision

Making”, International Journal of Engineering Research and Technology, Volume 2, Issue 8, August-2013.

[26] Mary Jeyanthi, S and Karnan, M.: “A New Implementation of Mathematical Models with metaheuristic

Algorithms for Business Intelligence”, International Journal of Advanced Research in Computer and

Communication Engineering, Volume 3, Issue 3, March-2014.

[27] Dr. Mary Jeyanthi: “Partial Image Retrieval Systems in Luminance and Color Invariants: An Empirical

Study”, International Journal of Web Technology (ISSN: 2278-2389) – Volume-4, Issue-2.

[28] Dr. Mary Jeyanthi: “CipherText Policy attribute-based Encryption for Patients Health Information in Cloud

Platform”, Journal of Information Science and Engineering (ISSN: 1016-2364)

[29] Mary Jeyanthi, P, Adarsh Sharma, Purva Verma: “Sustainability of the business and employment generation

in the field of UPVC widows” (ICSMS2019).

[30] Mary Jeyanthi, P: “An Empirical Survey of Sustainability in Social Media and Information Systems across

emerging countries”, International Conference on Sustainability Management and Strategy” (ICSMS2018).

[31] Mary Jeyanthi, P: “Agile Analytics in Business Decision Making: An Empirical Study”, International

Conference on Business Management and Information Systems” (ICBMIS2015).

[32] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence – soft computing Techniques”, International

Conference on Mathematics in Engineering & Business Management (ICMEB 2012).

[33] Mary Jeyanthi, S and Karnan, M.: “A Comparative Study of Genetic algorithm and Artificial Bear

Optimization algorithm in Business Intelligence”, International Conference on Mathematics in Engineering

& Business Management (ICMEB 2012).

[34] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Optimization for Decision

Making ”, 2011 IEEE International Conference on Computational Intelligence and Computing Research

(2011 IEEE ICCIC).

[35] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Decision making to overcome the

Financial Risk”, 2011 IEEE International Conference on Computational Intelligence and Computing

Research (2011 IEEE ICCIC).

[36] Dr. Mary Jeyanthi, S: “Pervasive Computing in Business Intelligence”, State level seminar on Computing

and Communication Technologies. (SCCT-2015)

[37] Dr.P.Mary Jeyanthi, “Artificial Bear Optimization (ABO) – A new approach of Metaheuristic algorithm for

Business Intelligence”, ISBN no: 978-93-87862-65-4, Bonfring Publication. Issue Date: 01-Apr-2019

[38] Dr.P.Mary Jeyanthi , “Customer Value Management (CVM) – Thinking Inside the box” – ISBN : 978-93-

87862-94-4, Bonfring Publication, Issue Date: 16-Oct-2019.

[39] Jeyanthi, P. M., & Shrivastava, S. K. (2019). The Determinant Parameters of Knowledge Transfer among

Academicians in Colleges of Chennai Region. Theoretical Economics Letters, 9(4), 752-760.

Downloads

Published

31.10.2019

How to Cite

Bin Muadhah, E. M., Khairunnisha Zainal, N., & Farahana Kamsin, I. (2019). A WEB based Information System for Pregnancy Women. International Journal of Psychosocial Rehabilitation, 23(4), 1291-1302. https://doi.org/10.61841/1jq9p847