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Approach for Futuristic Health Care Planners

by Gunjan Pahuja
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 13
Year of Publication: 2015
Authors: Gunjan Pahuja

Gunjan Pahuja . Approach for Futuristic Health Care Planners. International Journal of Computer Applications. 115, 13 ( April 2015), 27-33. DOI=10.5120/20214-2483

@article{ 10.5120/20214-2483,
author = { Gunjan Pahuja },
title = { Approach for Futuristic Health Care Planners },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 13 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { },
doi = { 10.5120/20214-2483 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:54:45.077061+05:30
%A Gunjan Pahuja
%T Approach for Futuristic Health Care Planners
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 13
%P 27-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

In this paper, we present a collaborative approach for the health care systems. The expert knowledge is embedded within DSS to provide intelligent decision support. The problem space contains multiple Hub and Spoke networks. Information about these networks is dynamically captured and represented in a Meta-data table. This master table enables collaboration between any two networks in the problem space, thus, enables load sharing among them. In order to show the collaboration between health care systems; number of doctors in the dispensary, present load/day and capacity are the key data to be collected for west, south, south west and south districts of Delhi before we apply this approach. The implementation is done at primary care level. The input to the model is health care data and output is a decision based on the collaborative approach model. Primary health care centers in a geographical area are transformed into Hub & Spoke type networks. Collaboration between such networks means transfer of patient load from one network to another at primary care level depending upon free capacity available in the given network which can be determined from Meta-data table.

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Index Terms

Computer Science
Information Sciences


Decision Support Systems Collaborative DSS HUB and SPOKE Model Meta Data Primary health care data.