Building,Health,Care,Decision, health Building a Health Care Decision Support System for Developin

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Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:"Table Normal";mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:"";mso-padding-alt:0in 5.4pt 0in 5.4pt;mso-para-margin-top:0in;mso-para-margin-right:0in;mso-para-margin-bottom:10.0pt;mso-para-margin-left:0in;line-height:115%;mso-pagination:widow-orphan;font-size:11.0pt;font-family:"Calibri","sans-serif";mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;}Developing countries are using technology to modernize theirindustries, and the healthcare industry is no exception. Their governments,healthcare ministries, and public health officials are utilizing IT solutionsto improve health outcomes. International Health and Human Services (HHS)organizations such as the World Health Organization, the International RedCross, and U.S. agencies such as USAID are assisting them by:·       Providing resources that help them improve careby strengthening their healthcare-related infrastructures ·       Providing them with expertise in the fields ofmedicine and disease management ·       Utilizing technologies to drive importanthealthcare-related decisions for improving healthcare outcomes  Some of the HHS organizations are utilizing technology toimprove program effectiveness and to audit their own work in the field. Onesuch organization is utilizing a cutting-edge semantic technologyDecision Support System (DSS) to determine potential healthcare issues in adeveloping country and to also measure the impact of their disease controlinitiatives.  This paper describes the challenges and opportunities inbuilding a Decision Support System for developing nations. It also outlines howsuch nations are blending high technology products with their infrastructures(or lack thereof in various places) to achieve high-end technical solutionsthat will meet each country’s needs. Product Description TerraFrame, asoftware company based in Colorado, USA developed an ontology-based DSS for alarge international HHS organization. It is a semantic technologies-basedplatform with an integrated Geographic Information System (GIS) that is beingused for disease management-related decision making in developing nations. Itsinitial release was developed for a prevalent disease (malaria) in an Africancountry. However, it is currently being expanded to address numerous diseases inmultiple countries.  The system is used to determine the disease footprint in aregion so that remedial initiatives can be undertaken by the local publichealth officials, both proactively and reactively. The HHS also utilizes theproduct as an audit tool to determine an initiative’s effectiveness and torefine the subsequent iterations of the program based on prior results. Thedisease control initiatives include a wide range of measures such as the use ofinsecticide sprays. TheDSS uses ontological principles (semantic technology) to model geographic,entomological, and insecticidal nomenclature.  Standardizationof insect related terminology allows data from multiple organizations tobe effectively combined and queried.  Additionally, since terms have hierarchical relationships, the technologyallows for automatic categorization and grouping of related data.  As newterms are added, dynamic queries automatically include them. This provides theDSS with a high degree of flexibility, as terms and relationships between termscan change and adapt dynamically in the field to accommodate newrequirements.  Furthermore, the geographic ontology standardizes terms forgeographic features.  This ensures data interoperability and allows forthe GIS system to work, even in cases where the exact longitude and latitude ofa data point is not known. TheDSS uses GIS to capture, store, and analyze data associated with geographiclocations in order to generate maps as a visual tool. A map consists of one ormore layers, with each layer defined by a query created in the DSS. The layerscan be overlaid and color-coded into meaningful representations ofrelationships and correlations between the data and geographic locations. Thesecustom-generated maps greatly assist public health officials in making informeddecisions regarding disease control. The developed product is capable of providing reports and query results usinglocal data alone or data aggregated across geographic and governmentalhierarchies. For example, an end user can query the system and utilize datafrom healthcare facilities at a village, city, district, state, or regionallevel—as well as a countrywide level. The international health organization referencedabove expects the DSS data to be collected and utilized at all levels of theAfrican nation.  Formore information, please contact Ray Hutchins at [email protected] Dover St. Suite 1000Westminster, CO 80021Main 1-877-444-3074http://www.terraframe.com/>Terraframe