CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Modern Extensions to Hospital Information Systems

by Varun Jain, Rishabh Dave, Shiwani Gupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 165 - Number 12
Year of Publication: 2017
Authors: Varun Jain, Rishabh Dave, Shiwani Gupta
10.5120/ijca2017914092

Varun Jain, Rishabh Dave, Shiwani Gupta . Modern Extensions to Hospital Information Systems. International Journal of Computer Applications. 165, 12 ( May 2017), 17-23. DOI=10.5120/ijca2017914092

@article{ 10.5120/ijca2017914092,
author = { Varun Jain, Rishabh Dave, Shiwani Gupta },
title = { Modern Extensions to Hospital Information Systems },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 165 },
number = { 12 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume165/number12/27625-2017914092/ },
doi = { 10.5120/ijca2017914092 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:12:18.217599+05:30
%A Varun Jain
%A Rishabh Dave
%A Shiwani Gupta
%T Modern Extensions to Hospital Information Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 165
%N 12
%P 17-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is to inform both healthcare practitioners and software solutions creators about the ways in which the Hospital Information Systems (HIS) can and should be extended, both in terms of managing, processing and learning from the data, keeping in mind the sustainable modern technologies available for automation and machine learning. The paper provides details on how ensembles can be implemented and integrated into HIS and also provide the details for the necessary hardware and integrating that hardware to facilitate automation. The paper’s target audience is primarily developing countries where these systems, which are yet to become sophisticated, could have a huge social impact.

References
  1. David A. Clifton, Jeremy Gibbonsy, Jim Daviesy, Lionel Tarassenko, "Machine Learning and Software Engineering in Health Informatics"
  2. A History of Storage Cost, http://www.mkomo.com/cost-per-gigabyte
  3. Christopher Sibona, Jon Brickey, Steven Walczak, Madhavan Parthasarathy, "Patient Perceptions of Electronic Medical Records" at Proceedings of the 43rd Hawaii International Conference on System Sciences – 2010.
  4. Stausberg, Jürgen et al. “Comparing Paper-Based with Electronic Patient Records: Lessons Learned during a Study on Diagnosis and Procedure Codes.” Journal of the American Medical Informatics Association : JAMIA 10.5 (2003): 470–477. PMC. Web. 18 Apr. 2017.
  5. Phenotype KnowledgeBase, https://phekb.org/
  6. Jyoti Soni, Ujma Ansari, Dipesh Sharma, Sunita Soni, "Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction"
  7. Milan Kumari, Sunila Godara, "Comparative Study of Data Mining Classification Methods in Cardiovascular Disease Prediction"
  8. Dursun Delen, Glenn Walker, Amit Kadam, "Predicting breast cancer survivability: a comparison of three data mining methods"
  9. Luz Rello, Miguel Ballesteros, "Detecting Readers with Dyslexia Using Machine Learning with Eye Tracking Measures"
  10. Rakesh Agrawal, Ramakrishnan Srikant, "Privacy-Preserving Data Mining"
  11. Krzysztof J. Cios, G. William Moore, "Uniqueness of medical data mining"
  12. Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik, "Gene Selection for Cancer Classification using Support Vector Machines"
  13. Mohammed Hassan abdel majeed alsheikh,"Classification of Breast cancer using Back Propagation neural network algorithms"
  14. Wilding P, Morgan MA, Grygotis AE, Shoffner MA, Rosato EF,"Application of backpropagation neural networks to diagnosis of breast and ovarian cancer."
  15. MATLAB and Statistics Toolbox Release 2016a, The MathWorks, Inc., Natick, Massachusetts, United States.
  16. Wilke P., Rehder J., Billing G., Mansfeld C., Nilson J. (1995) NeuroGraph - A Simulation Environment for Neural Networks, Genetic Algorithms and Fuzzy Logic. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna
  17. "Why You Should Use Cross-Entropy Error Instead Of Classification Error Or Mean Squared Error For Neural Network Classifier Training”, https://jamesmccaffrey.wordpress.com/2013/11/05/why-you-should-use-cross-entropy-error-instead-of-classification-error-or-mean-squared-error-for-neural-network-classifier-training/
  18. N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. Dropout: A Simple Way to Prevent Neural Networks from Overfitting. JMLR, 15(Jun):1929−1958, 2014.
  19. Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
  20. Z.-H. Zhou. Ensemble Methods: Foundations and Algorithms. Boca Raton, FL: Chapman & HallCRC/, 2012. (ISBN 978-1-439-830031)
  21. Eibe Frank, Mark A. Hall, and Ian H. Witten (2016). The WEKA Workbench. Online Appendix for "Data Mining: Practical Machine Learning Tools and Techniques", Morgan Kaufmann, Fourth Edition, 2016.
  22. Medical Error Is Third Leading Cause of Death in US, http://www.medscape.com/viewarticle/862832
  23. Medical error—the third leading cause of death in the US, http://www.bmj.com/content/353/bmj.i2139
  24. Wen Yao, Chao-Hsien Chu, Zang Li, "The Use of RFID in Healthcare: Benefits and Barriers" in Program for the IEEE International Conference on RFID-Technology and Applications, 17 - 19 June 2010 Guangzhou, China.
  25. Samuel   Fosso   Wamba,   Abhijith    Anand, Lemuria Carter,   “A Literature   Review Of RFID-enabled Healthcare Applications and Issues” in  International  Journal  of  Information  Management  Volume  33,  Issue  5,  October 2013,  Pages 875–891.
  26. C.L. Yeung, S.K. Kwok, H.C. Mui, "An Investigation of an RFID-based Patient-tracking and Mobile Alert System", in International Journal of Engineering Business Management, Vol. 3, No. 1 (2011)
  27. C.H. Wu, W.H. Ip, S.K. Kwok, G.T.S. Ho, C.Y. Chan, "Design and Development of an RFID-based HIS - A Case Study" in International Journal of Engineering Business Management, Vol. 3, No. 1 (2011)
  28. Electromagnetic Compatibility (EMC) > Radio Frequency Identification (RFID), http://www.fda.gov/Radiation-EmittingProducts/RadiationSafety/ElectromagneticCompatibilityEMC/ucm116647.htm
  29. Drug Safety and Availability > RFID: Protecting the Drug Supply, http://www.fda.gov/Drugs/DrugSafety/ucm169918.htm
  30. Paweł Rotter, "A Framework for Assessing RFID System Security and Privacy Risks" in IEEE Pervasive Computing Volume 7 Issue 2, April 2008 Pages 70-77
  31. "Steve Boggan and a computer expert crack the new hi-tech passport code Politics" in The Guardian, https://www.theguardian.com/technology/2006/nov/17/news.homeaffairs
  32. Bon Secours Richmond Finds RFID Saves $2 Million Annually, http://www.rfidjournal.com/articles/view?7259
  33. At Wayne Memorial, RFID Pays for Itself, http://www.rfidjournal.com/articles/view?3199
  34. RFID Makes Managing Hospital Porters More Efficient, http://www.rfidjournal.com/articles/view?14850.
Index Terms

Computer Science
Information Sciences

Keywords

Hospital Information Systems Healthcare Informatics Electronic Health Records Machine Learning Ensemble Learning Neural Network Automation RFID NFC Android.

Powered by PhDFocusTM