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Modern Extensions to Hospital Information Systems

by Varun Jain, Rishabh Dave, Shiwani Gupta
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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.

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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.

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