scholarly journals A decision support system for antibiotic prescription based on local cumulative antibiograms

2018 ◽  
Vol 84 ◽  
pp. 114-122 ◽  
Author(s):  
Antonio Morales ◽  
Manuel Campos ◽  
Jose M. Juarez ◽  
Bernardo Canovas-Segura ◽  
Francisco Palacios ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Antibiotic Prescription

A computerized decision support system (CDSS) for antibiotic prescription in primary care—Antibioclic: implementation, adoption and sustainable use in the era of extended antimicrobial resistance

2020 ◽  
Author(s):  
Tristan Delory ◽  
Pauline Jeanmougin ◽  
Sylvie Lariven ◽  
Jean-Pierre Aubert ◽  
Nathan Peiffer-Smadja ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Antibiotic Prescription ◽  
Sustainable Use ◽  
Acute Otitis Media ◽  
Community Acquired Pneumonia ◽  
Computerized Decision Support ◽  
Cross Sectional

Abstract Objectives To describe the implementation and use of a computerized decision support system (CDSS) for antibiotic prescription in primary care in France (Antibioclic). The CDSS targets 37 infectious diseases and has been freely available on a website since 2011. Methods Description and implementation of the architecture of a CDSS for antibiotic prescription in general practice. Analysis of the queries made between 2012 and 2018 on the CDSS by GPs. Analysis of two cross-sectional studies of users in 2014 and 2019. Results The number of queries increased from a median of 796/day [IQR, 578–989] in 2012 to 11 125/day [5592–12 505] in 2018. Unique users increased from 414/day [245–494] in 2012 to 5365/day [2891–5769] in 2018. Time taken to make a query was 2 min [1.9–2.1]. Among 3 542 347 queries in 2018, 78% were for adults. Six situations accounted for ≥50% of queries: cystitis; acute otitis media; acute sinusitis; community-acquired pneumonia; sore throat; and pyelonephritis. Queries concerned pathologies for which antibiotic prescription was necessary (64%), was conditional on additional clinical steps (34%) or was not recommended (2%). Most users (81%) were GPs, with median age of 38 years [31–52] and 58% were female. Among the 4016 GPs who responded to the surveys, the vast majority (96%) reported using the CDSS during the consultation, with 24% systematically using Antibioclic to initiate an antibiotic course and 93% having followed the CDSS recommendation for the latest prescription. Most GPs were comfortable using the CDSS in front of a patient. Conclusions Antibioclic has been adopted and is widely used in primary care in France. Its interoperability could allow its adaptation and implementation in other countries.

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

Sign in / Sign up

Export Citation Format

Share Document