کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
402291 676892 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Supporting healthcare management decisions via robust clustering of event logs
ترجمه فارسی عنوان
پشتیبانی از تصمیمات مدیریت سلامت از طریق خوشه بندی قوی از سیاهههای مربوط
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• We present an effective way to summarize patients’ pathways.
• A new spectral approach that emphasizes robustness is proposed for trace clustering.
• The method is applied to the emergency department of a public hospital.

Business processes constitute an essential asset of organizations while the related process models help to better comprehend the process and therefore to enable effective process analysis or redesign. However, there are several working environments where flows are particularly flexible (e.g., healthcare, customer service) and process models are either very hard to get created, or they fail to reflect reality. The aim of this paper is to support decision-making by providing comprehensible process models in the case of such flexible environments. Following a process mining approach, we propose a methodology to cluster customers’ flows and produce effective summarizations. We propose a novel method to create a similarity metric that is efficient in downgrading the effect of noise and outliers. We use a spectral technique that emphasizes the robustness of the estimated groups, therefore it provides process analysts with clearer process maps. The proposed method is applied to a real case of a healthcare institution delivering valuable insights and showing compelling performance in terms of process models’ complexity and density.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 84, August 2015, Pages 203–213
نویسندگان
, , , , ,