A healthcare-associated surgical site infection surveillance and decision support system

Author(s):  
Bo-Chiang Huang ◽  
Yi-Ju Tseng ◽  
Te-Wei Ho ◽  
Hui-Chi Lin ◽  
Yee-Chun Chen ◽  
...  
2018 ◽  
Vol 23 (3) ◽  
pp. 188-195 ◽  
Author(s):  
Michael Canty ◽  
Edward Jerome St George

Purpose Surgical site infection (SSI) is a common complication in surgical practice. SSIs represent almost a fifth of healthcare-associated infections in Scotland, and have deleterious effects on mortality, morbidity, length of stay, and cost to the health service. SSIs in neurosurgery may be more consequential than in other specialities given the potentially devastating effects of central nervous system infection. The paper aims to discuss these issues. Design/methodology/approach In 2014, the authors became concerned about an anecdotal increase in infection rates in the authors’ unit. While national guidance on SSI surveillance existed in England and Scotland, the authors had no relevant procedures or policies in Glasgow, and began the process of establishing a surveillance programme. This was driven by clinicians but faced challenges due to a lack of involvement of the wider organisation in the early stages. Findings SSIs were initially reported via a form-filling system. This developed into an editable hospital intranet database, but still suffered from the problems of voluntary entries and under-reporting. Following the formal engagement of management structures and the funding of a surveillance nurse, the authors’ programme developed robustness, and resilience. With the advent of an SSI committee, the authors now have a well-established programme that ingrains SSI prevention in the collective learning and organisational memory of the authors’ unit. Originality/value Clinicians must lead on the development of these programmes, but long-term durability requires engagement and support from the wider organisation.


2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih

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.


2014 ◽  
Author(s):  
Kamaruzaman S. ◽  
◽  
A. H. Omar ◽  
Muhammad Iqbal Tariq Idris ◽  
Izwyn Z. ◽  
...  

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