Chronic disease management: a business intelligence perspective

  • Authors:
  • Leelani Kumari Wickramasinghe;Damminda Alahakoon;Michael Georgeff;Peter Schattner;Daswin De Silva;Oshadi Alahakoon;Akuh Adaji;Kay Jones;Am Leon Piterman

  • Affiliations:
  • Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;Monash University, Melbourne, Australia

  • Venue:
  • HIKM '11 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 120
  • Year:
  • 2011

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Abstract

Chronic disease management is one of the main areas in healthcare that Health Knowledge Management (HKM) can provide beneficial outcomes. Information Communication Technology (ICT) enabled Chronic disease management network (cdmNet) delivers comprehensive chronic disease management solutions by incorporating all key processes of the Chronic Care Model (CCM) developed by Wagner and his group. Through its roll-outs, cdmNet has accumulated detailed data about the chronic disease management process. This paper presents a new Business Intelligence (BI) module developed to analyse, visualise and extract knowledge from the cdmNet data. The aim of the BI module is to facilitate the short-term and long-term decision making and improve understanding of collaborative care models, policy and economic models underlying chronic disease management. The paper contains preliminary results obtained from applying the BI module to the cdmNet data.