Objective: In this paper we present the clinical deployment and evaluation of a computerized system, EMOSTAT, aimed at improving the quality of hemodialysis sessions. EMOSTAT automatically imports data from the hemodialysis monitoring software tools and analyzes the delivered treatment looking at six clinically relevant parameters. Failures-to-adhere (FtAs) to the planned treatment are detected and reported to the care-givers. Methods: EMOSTAT has been used for more than seven years in the management of a dialysis service located in Mede, Italy. A total of 72 patients were monitored and 21 251 dialyses were collected. Data analysis is performed on the periods 2002–2005 and 2005–2008, corresponding to two different software releases. Results: The system had been exploited into everyday clinical practice for the entire considered period. The number of FtAs significantly decreased along the first period: the bulk blood flow FtAs decreased after the introduction ofthe system. Hemodialysis sessions lasted longer in the second period. Co-occurring FtAs, highlighting the presence of complex FtAs patterns, were also detected. Conclusions: EMOSTAT provides an effective way to re-focus the attention of the dialysis department on the treatment plan and on its implementation. The automatic data collection and the design philosophy of EMOSTAT allowed the routine use of the system.

Implementation of an automated system for monitoring adherence to hemodialysis treatment: A report of seven years of experience.

BELLAZZI, RICCARDO;SACCHI, LUCIA;LARIZZA, CRISTIANA;
2012-01-01

Abstract

Objective: In this paper we present the clinical deployment and evaluation of a computerized system, EMOSTAT, aimed at improving the quality of hemodialysis sessions. EMOSTAT automatically imports data from the hemodialysis monitoring software tools and analyzes the delivered treatment looking at six clinically relevant parameters. Failures-to-adhere (FtAs) to the planned treatment are detected and reported to the care-givers. Methods: EMOSTAT has been used for more than seven years in the management of a dialysis service located in Mede, Italy. A total of 72 patients were monitored and 21 251 dialyses were collected. Data analysis is performed on the periods 2002–2005 and 2005–2008, corresponding to two different software releases. Results: The system had been exploited into everyday clinical practice for the entire considered period. The number of FtAs significantly decreased along the first period: the bulk blood flow FtAs decreased after the introduction ofthe system. Hemodialysis sessions lasted longer in the second period. Co-occurring FtAs, highlighting the presence of complex FtAs patterns, were also detected. Conclusions: EMOSTAT provides an effective way to re-focus the attention of the dialysis department on the treatment plan and on its implementation. The automatic data collection and the design philosophy of EMOSTAT allowed the routine use of the system.
2012
Computer Science & Engineering includes resources on computer hardware and architecture, computer software, software engineering and design, computer graphics, programming languages, theoretical computing, computing methodologies, broad computing topics, and interdisciplinary computer applications.
Medical Research, Diagnosis & Treatment contains studies of existing and developing diagnostic and therapeutic techniques, as well as specific classes of clinical intervention. Resources in this category emphasize the difference between normal and disease states, with the ultimate goal of more effective diagnosis and intervention. Specific areas of interest include pathology and histochemical analysis of tissue, clinical chemistry and biochemical analysis of medical samples, diagnostic imaging, radiology and radiation, surgical research, anesthesiology and anesthesia, transplantation, artificial tissues, and medical implants. Resources focused on the disease, diagnosis, and treatment of specific organs or physiological systems are excluded and are covered in the Medical Research: Organs & Systems category.
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
81
5
320
331
12
Hemodialysis; Quality assessment; Failure to adhere; Data mining; IT solutions; Telemedicine
8
info:eu-repo/semantics/article
262
Bellazzi, Riccardo; Sacchi, Lucia; Caffi, Ezio; de Vincenzi, A; Nai, M; Manicone, F; Larizza, Cristiana; Bellazzi, Roberto
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/378411
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