Literature DB >> 19657483

Use of an identification system based on biometric data for patients requiring transfusions guarantees transfusion safety and traceability.

Francesco Bennardello1, Carmelo Fidone, Sergio Cabibbo, Salvatore Calabrese, Giovanni Garozzo, Grazia Cassarino, Agostino Antolino, Giuseppe Tavolino, Nuccio Zisa, Cadigia Falla, Giuseppe Drago, Giovanna Di Stefano, Pietro Bonomo.   

Abstract

BACKGROUND: One of the most serious risks of blood transfusions is an error in ABO blood group compatibility, which can cause a haemolytic transfusion reaction and, in the most severe cases, the death of the patient. The frequency and type of errors observed suggest that these are inevitable, in that mistakes are inherent to human nature, unless significant changes, including the use of computerised instruments, are made to procedures.
METHODS: In order to identify patients who are candidates for the transfusion of blood components and to guarantee the traceability of the transfusion, the Securblood system (BBS srl) was introduced. This system records the various stages of the transfusion process, the health care workers involved and any immediate transfusion reactions. The patients and staff are identified by fingerprinting or a bar code. The system was implemented within Ragusa hospital in 16 operative units (ordinary wards, day hospital, operating theatres).
RESULTS: In the period from August 2007 to July 2008, 7282 blood components were transfused within the hospital, of which 5606 (77%) using the Securblood system. Overall, 1777 patients were transfused. In this year of experience, no transfusion errors were recorded and each blood component was transfused to the right patient. We recorded 33 blocks of the terminals (involving 0.6% of the transfused blood components) which required the intervention of staff from the Service of Immunohaematology and Transfusion Medicine (SIMT). Most of the blocks were due to procedural errors.
CONCLUSIONS: The Securblood system guarantees complete traceability of the transfusion process outside the SIMT and eliminates the possibility of mistaken identification of patients or blood components. The use of fingerprinting to identify health care staff (nurses and doctors) and patients obliges the staff to carry out the identification procedures directly in the presence of the patient and guarantees the presence of the doctor at the start of the transfusion.

Entities:  

Keywords:  Biometric identification; haemovigilance; traceability; transfusion safety

Mesh:

Year:  2009        PMID: 19657483      PMCID: PMC2719271          DOI: 10.2450/2009.0067-08

Source DB:  PubMed          Journal:  Blood Transfus        ISSN: 1723-2007            Impact factor:   3.443


  25 in total

1.  Analysis of ABO discrepancies occurring in 35 French hospitals.

Authors:  J Chiaroni; D Legrand; I Dettori; V Ferrera
Journal:  Transfusion       Date:  2004-06       Impact factor: 3.157

2.  A report of 104 transfusion errors in New York State.

Authors:  J V Linden; B Paul; K P Dressler
Journal:  Transfusion       Date:  1992-09       Impact factor: 3.157

3.  Hemovigilance for improvement of blood safety.

Authors:  Pierre Robillard; Penny Chan; Steve Kleinman
Journal:  Transfus Apher Sci       Date:  2004-10       Impact factor: 1.764

4.  ABO incompatible transfusions--experience from the UK Serious Hazards of Transfusion (SHOT) scheme Transfusions ABO incompatible.

Authors:  D Stainsby
Journal:  Transfus Clin Biol       Date:  2005-12-01       Impact factor: 1.406

5.  Bedside transfusion errors: analysis of 2 years' use of a system to monitor and prevent transfusion errors.

Authors:  F Mercuriali; G Inghilleri; M T Colotti; M Farè; E Biffi; A Vinci; M Podico; R Scalamogna
Journal:  Vox Sang       Date:  1996       Impact factor: 2.144

6.  Reducing adverse events in blood transfusion.

Authors:  Dorothy Stainsby; Joan Russell; Hannah Cohen; John Lilleyman
Journal:  Br J Haematol       Date:  2005-10       Impact factor: 6.998

Review 7.  Transfusion recipient identification.

Authors:  P Pagliaro; P Rebulla
Journal:  Vox Sang       Date:  2006-08       Impact factor: 2.144

Review 8.  Getting the right blood to the right patient: the contribution of near-miss event reporting and barrier analysis.

Authors:  H S Kaplan
Journal:  Transfus Clin Biol       Date:  2005-11-28       Impact factor: 1.406

9.  Identification and classification of the causes of events in transfusion medicine.

Authors:  H S Kaplan; J B Battles; T W Van der Schaaf; C E Shea; S Q Mercer
Journal:  Transfusion       Date:  1998 Nov-Dec       Impact factor: 3.157

10.  End-to-end electronic control of the hospital transfusion process to increase the safety of blood transfusion: strengths and weaknesses.

Authors:  Amanda Davies; Julie Staves; Jonathan Kay; Angela Casbard; Michael F Murphy
Journal:  Transfusion       Date:  2006-03       Impact factor: 3.157

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  6 in total

1.  The prevention of adverse reactions to transfusions in patients with haemoglobinopathies: a proposed algorithm.

Authors:  Francesco Bennardello; Carmelo Fidone; Vincenzo Spadola; Sergio Cabibbo; Simone Travali; Giovanni Garozzo; Agostino Antolino; Giuseppe Tavolino; Cadigia Falla; Pietro Bonomo
Journal:  Blood Transfus       Date:  2013-05-21       Impact factor: 3.443

2.  Blood transfusion practice: a nationwide survey in Italy.

Authors:  Franco Verlicchi; Giuseppina Facco; Michela Macrì; Stefano Antoncecchi; Pietro Bonomo
Journal:  Blood Transfus       Date:  2011-05-12       Impact factor: 3.443

3.  Improved traceability and transfusion safety with a new portable computerised system in a hospital with intermediate transfusion activity.

Authors:  María Jose Uríz; Maria Luisa Antelo; Saioa Zalba; Nazaret Ugalde; Esther Pena; Andrea Corcoz
Journal:  Blood Transfus       Date:  2011-01-17       Impact factor: 3.443

4.  Recommendations for the electronic pre-transfusion check at the bedside.

Authors:  Akimichi Ohsaka; Hidefumi Kato; Shuichi Kino; Kinuyo Kawabata; Junichi Kitazawa; Tatsuya Sugimoto; Akihiro Takeshita; Kyoko Baba; Motohiro Hamaguchi; Yasuhiko Fujii; Kayo Horiuchi; Yuji Yonemura; Isao Hamaguchi; Makoto Handa
Journal:  Blood Transfus       Date:  2016-03-21       Impact factor: 3.443

5.  Patients' positive identification systems.

Authors:  Pasqualepaolo Pagliaro; Rosalia Turdo; Enrico Capuzzo
Journal:  Blood Transfus       Date:  2009-10       Impact factor: 3.443

6.  Usefulness of biological fingerprint in magnetic resonance imaging for patient verification.

Authors:  Yasuyuki Ueda; Junji Morishita; Shohei Kudomi; Katsuhiko Ueda
Journal:  Med Biol Eng Comput       Date:  2015-09-04       Impact factor: 2.602

  6 in total

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