Abstract

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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.