Journal article Open Access

Rural Health Unit Decision Support System with Mapping

Joan Hazel V. Tiongson; Marifel Grace C. Kummer

Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)

In this highly challenging and demanding world, presence of data and technology are overwhelming. But at present, some institutions still engage in manual-type of operations like the Rural Health Unit of the Municipality of Solano, Nueva Vizcaya. Problems, issues and challenges encountered by the unit in the delivery of its medical services and the extent of compliance in ISO/IEC 25010 Software Quality Standards were identified. And with the uncontrollable availability of data, these can be handled and treated using data mining techniques to predict disease occurrences. In this study, the clustering and classification data mining techniques were utilized in order to predict disease occurrences of every barangay of the municipality at a given time. An efficient record management system along with a decision support system was developed to meet the challenges of the unit. It mainly features the disease-occurrence mapping to assist physicians and other health professionals in the unit in their decision-making tasks particularly in diagnosis, treatment and recommendations. In terms of ISO/IEC 25010 Software Quality Standards, the system gained a “very great extent” qualitative rating.

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