Nurmala Sridewi, Dewi Wahyuni

Sistem Pendukung Keputusan Dengan Metode Weighted Product Untuk Memilih Protokol Pengobatan Pneumonia Pada Anak Berdasarkan Kondisi Klinis

Introduction

Sistem pendukung keputusan dengan metode weighted product untuk memilih protokol pengobatan pneumonia pada anak berdasarkan kondisi klinis. SPK Weighted Product untuk bantu profesional kesehatan pilih protokol pengobatan pneumonia anak berdasarkan kondisi klinis (usia, keparahan, nutrisi). Tingkatkan kualitas pengambilan keputusan klinis.

Abstract

Pneumonia is one of the leading causes of morbidity and mortality in children, especially in developing countries. Choosing the appropriate treatment protocol is crucial to ensure the effectiveness of therapy and prevent complications. This study develops a Decision Support System (DSS) using the Weighted Product (WP) method to assist healthcare professionals in determining the appropriate pneumonia treatment protocol for children based on clinical conditions. The system takes into account various criteria, such as the severity of pneumonia, patient age, nutritional status, the presence of comorbidities, and the response to initial treatment. The test results show that this system can provide accurate and consistent recommendations in accordance with current clinical guidelines. Therefore, this DSS can be an effective tool to improve the quality of clinical decision-making. Keywords: Decision Support System, Weighted Product, Pneumonia, Children, Treatment Protocol, Clinical Conditions.

Review

This paper presents a timely and relevant study on developing a Decision Support System (DSS) using the Weighted Product (WP) method to guide the selection of pneumonia treatment protocols in children. Addressing a critical global health challenge, the proposed system aims to enhance the effectiveness of therapy and prevent complications by providing healthcare professionals with an evidence-based tool for clinical decision-making. The initiative is particularly pertinent given the high rates of morbidity and mortality associated with pediatric pneumonia, especially in resource-limited settings where optimal treatment choices are paramount. A key strength of this work lies in its practical application to a high-impact clinical problem. The choice of the Weighted Product method within a DSS framework is appropriate for multi-criteria decision-making, allowing for the systematic evaluation of various patient-specific factors. The abstract commendably details the comprehensive criteria considered, including pneumonia severity, patient age, nutritional status, the presence of comorbidities, and response to initial treatment, all of which are crucial for tailoring effective interventions. The assertion that the system provides "accurate and consistent recommendations in accordance with current clinical guidelines" suggests a robust alignment with established clinical standards, promising to standardize care and improve adherence to best practices. While the abstract outlines a highly promising system, a full manuscript would benefit from further elaboration on several aspects. It would be valuable to detail the specific clinical guidelines integrated into the system, the methodology for assigning weights to the various criteria, and the validation process used to determine "accuracy and consistency." Information regarding the system's user interface, potential integration into existing clinical workflows, and initial user feedback or pilot study results would significantly strengthen the paper. Nonetheless, this study represents a commendable effort to apply computational methods to optimize pediatric care, offering a valuable tool to support healthcare professionals in a complex and critical clinical area.

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