Evolution of quality management: integration of quality assurance functions into operations, or "quality is everyone's responsibility"

Best practices for establishing a biobank

A biobank may be defined as the long-term storage of biological samples for research or clinical purposes. In addition to storage facilities, a biobank may comprise a complete organization with biological samples, data, personnel, policies, and procedures for handling specimens and performing other services, such as the management of the database and the planning of scientific studies. This combination of facilities, policies, and processes may also be called a biological resource center (BRC) ( www.iarc.fr ). Research using specimens from biobanks is regulated by European Union (EU) recommendations (Recommendations on Research on Human Biological Materials. The draft recommendation on research on human biological materials was approved by CDBI at its plenary meeting on 20 October 2005) and by voluntary best practices from the U.S. National Cancer Institute (NCI) ( http://biospecimens.cancer.gov ) and other organizations. Best practices for the management of research biobanks vary according to the institution and differing international regulations and standards. However, there are many areas of agreement that have resulted in best practices that should be followed in order to establish a biobank for the custodianship of high-quality specimens and data.

Patients' positive identification systems

BACKGROUND

Blood safety must be maintained throughout the whole transfusion chain to prevent the transfusion of incorrect blood components. The estimated risk of an incorrect transfusion is in the order of 1 per 10,000 units of blood. Although several kinds of errors contribute to "wrong blood" events, 70% of errors occur in clinical areas with the most common being due to failure of the pre-transfusion bedside checking procedure.

MATERIALS AND METHODS

Several methods are available to reduce such errors. The I-TRAC Plus system by Immucor consists of an identification bracelet which is a bar-coded wristband and a handheld portable computer that identifies patients and blood bags by a scanner and prints the information through a portable printer. The labels attached on the blood order forms and on the sample tubes are read and recorded in the blood bank's informatics system (EmoNet INSIEL). Labels showing the bar-code of the assigned number, which includes the ID number of the patient, the ID number of the unit and a code identifying the kind of product and use (allogeneic or autologous), are generated and applied to the blood components. The transfusions are administered after checking the unit and the patient's wristband using the scanner of a portable PC.

RESULTS

In 5 years a total of 71,400 units of blood components were transfused to 15,430 patients using the I-TRAC Plus system. The system prevented 12 cases of mis-identification of patients (5 in 2003, 0 in 2004, 1 in 2005, 1 in 2006 and 5 in 2007).

CONCLUSIONS

In 2003 we introduced the use of a bar-code matching system between a patient's wristband and the blood bag to avoid mistakes at the bedside. In 5 years the system provided benefits by avoiding errors in the identification of patients, thus preventing "wrong blood" transfusions.

Designing property specifications to improve the safety of the blood transfusion process

Computer scientists use a number of well-established techniques that have the potential to improve the safety of patient care processes. One is the formal definition of a process; the other is the formal definition of the properties of a process. Even highly regulated processes, such as laboratory specimen acquisition and transfusion therapy, use guidelines that may be vague, misunderstood, and hence erratically implemented. Examining processes in a systematic way has led us to appreciate the potential variability in routine health care practice and the impact of this variability on patient safety in the clinical setting. The purpose of this article is to discuss the use of innovative computer science techniques as a means of formally defining and specifying certain desirable goals of common, high-risk, patient care processes. Our focus is on describing the specification of process properties, that is, the high-level goals of a process that ultimately dictate why a process should be performed in a given manner.

Increasing patient safety and efficiency in transfusion therapy using formal process definitions

The administration of blood products is a common, resource-intensive, and potentially problem-prone area that may place patients at elevated risk in the clinical setting. Much of the emphasis in transfusion safety has been targeted toward quality control measures in laboratory settings where blood products are prepared for administration as well as in automation of certain laboratory processes. In contrast, the process of transfusing blood in the clinical setting (ie, at the point of care) has essentially remained unchanged over the past several decades. Many of the currently available methods for improving the quality and safety of blood transfusions in the clinical setting rely on informal process descriptions, such as flow charts and medical algorithms, to describe medical processes. These informal descriptions, although useful in presenting an overview of standard processes, can be ambiguous or incomplete. For example, they often describe only the standard process and leave out how to handle possible failures or exceptions. One alternative to these informal descriptions is to use formal process definitions, which can serve as the basis for a variety of analyses because these formal definitions offer precision in the representation of all possible ways that a process can be carried out in both standard and exceptional situations. Formal process definitions have not previously been used to describe and improve medical processes. The use of such formal definitions to prospectively identify potential error and improve the transfusion process has not previously been reported. The purpose of this article is to introduce the concept of formally defining processes and to describe how formal definitions of blood transfusion processes can be used to detect and correct transfusion process errors in ways not currently possible using existing quality improvement methods.

Transfusion recipient identification

Recent reports from different haemovigilance systems indicate that errors in the whole-blood transfusion chain - from initial recipient identification to final blood administration - occur with a frequency of approximately 1 in 1000 events. Although mistakes occur also within the blood transfusion service, about two-thirds of errors are associated with incorrect blood recipient identification at the patient's bedside. To prevent the potentially fatal consequences of such mistakes, specific tools have been developed, including patient identification bracelets with barcodes and/or radio frequency identification devices, mechanical or electronic locks preventing access to bags assigned to other patients, and palm computers suitable for transferring blood request and administration data from the patient's bedside to the blood transfusion service information system in real time. The effectiveness of these systems in preventing mistransfusion has been demonstrated in a number of studies.