Literature DB >> 17170542

Managing complexity at dialysis service centers across Europe.

Andrea Stopper1, Claudia Amato, Simona Gioberge, Guido Giordana, Daniele Marcelli, Emanuele Gatti.   

Abstract

INTRODUCTION: Dialysis is probably one of the areas of medicine with more guidelines than any other. Issues such as dialysis dose are dealt with in those guidelines, and minimum values to be reached are defined. A target has to be set and reached by using a data-driven continuous quality improvement (CQI) approach. Data collection must be programmed and structured from the beginning.
METHODS: Fresenius started its activities as a dialysis provider in 1996, following the merger of its dialysis business with the leading service provider in the US, National Medical Care. Currently Fresenius Medical Care's European activities involve more than 320 dialysis centers located in 15 countries and treating more than 24,000 patients. Management is based on a bi-dimensional organization where line managers can rely on international functional departments. Under this framework, the CQI techniques are applied in conjunction with benchmarking in a system driven by quality targets. In order to combine clinical governance with management targets, the Balanced ScoreCard system was selected. The Balanced ScoreCard monitors the efficiency of each dialysis center compared to an ideal model, targeting maximum possible efficiency whilst having a unique target for patient outcomes.
CONCLUSION: A clear definition of targets is fundamental and activities need to be monitored and continuously improved; scientific collection of clinical data is the key. Copyright (c) 2007 S. Karger AG, Basel.

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Year:  2006        PMID: 17170542     DOI: 10.1159/000096402

Source DB:  PubMed          Journal:  Blood Purif        ISSN: 0253-5068            Impact factor:   2.614


  6 in total

1.  Use of Self-Organizing Maps for Balanced Scorecard analysis to monitor the performance of dialysis clinic chains.

Authors:  Isabella Cattinelli; Elena Bolzoni; Carlo Barbieri; Flavio Mari; José David Martin-Guerrero; Emilio Soria-Olivas; José Maria Martinez-Martinez; Juan Gomez-Sanchis; Claudia Amato; Andrea Stopper; Emanuele Gatti
Journal:  Health Care Manag Sci       Date:  2011-11-15

Review 2.  Choices in hemodialysis therapies: variants, personalized therapy and application of evidence-based medicine.

Authors:  Bernard Canaud; Stefano Stuard; Frank Laukhuf; Grace Yan; Maria Ines Gomez Canabal; Paik Seong Lim; Michael A Kraus
Journal:  Clin Kidney J       Date:  2021-12-27

Review 3.  Machine Learning for Renal Pathologies: An Updated Survey.

Authors:  Roberto Magherini; Elisa Mussi; Yary Volpe; Rocco Furferi; Francesco Buonamici; Michaela Servi
Journal:  Sensors (Basel)       Date:  2022-07-01       Impact factor: 3.847

4.  High-volume postdilution hemodiafiltration is a feasible option in routine clinical practice.

Authors:  Daniele Marcelli; Caecilia Scholz; Pedro Ponce; Tânia Sousa; Pascal Kopperschmidt; Aileen Grassmann; Bruno Pinto; Bernard Canaud
Journal:  Artif Organs       Date:  2014-10-02       Impact factor: 3.094

5.  Does subjective assessment of dialyzer appearance reflect dialyzer performance in online hemodiafiltration?

Authors:  João Fazendeiro Matos; Bruno Pinto; Carla Felix; Helena Carvalho; Pedro Ponce; Ricardo Peralta
Journal:  Hemodial Int       Date:  2019-10-21       Impact factor: 1.812

6.  Development and Validation of a Machine Learning Model Predicting Arteriovenous Fistula Failure in a Large Network of Dialysis Clinics.

Authors:  Ricardo Peralta; Mario Garbelli; Francesco Bellocchio; Pedro Ponce; Stefano Stuard; Maddalena Lodigiani; João Fazendeiro Matos; Raquel Ribeiro; Milind Nikam; Max Botler; Erik Schumacher; Diego Brancaccio; Luca Neri
Journal:  Int J Environ Res Public Health       Date:  2021-11-24       Impact factor: 3.390

  6 in total

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