Improving transfusion safety: implementation of a comprehensive computerized bar codebased tracking system for detecting and preventing errors

Impact of a relocation to a new critical care building on pediatric safety events

BACKGROUND

Cincinnati Children's Hospital Medical Center (CCHMC) relocated the pediatric, cardiac, and neonatal intensive care units (PICU, CICU and NICU) to a newly constructed critical care building (CCB) in November 2021. Simulation and onboarding sessions were implemented before the relocation, aimed at mitigating latent safety threats.

OBJECTIVE

To evaluate the impact of ICU relocation to the CCHMC CCB on patient safety as measured by the quantity, rate, severity score, and category of safety reports.

METHODS

This retrospective, cross-sectional, observational study compared safety reports filed in a 90-day period before and following the CCB relocation. The primary outcome was pre- and postrelocation safety report rates per 100 patient-days. Secondary outcomes included safety report severity, category, and rate of hospital acquired conditions (HACs).

RESULTS

Total safety report incidence increased by 16% across all ICUs postrelocation with no difference in post- versus prerelocation odds ratio between ICUs. Three isolated instances of special cause variation were found, one in NICU and two in CICU. No special cause variation was found in the PICU. There were no statistical differences in assigned safety report severity pre- to postrelocation for all ICUs, and only lab specimen/test related safety reports showed a statistically significant increase postrelocation. Overall rates of HACs were low, with six occurring prerelocation and eight postrelocation.

CONCLUSIONS

All three ICUs were relocated to the new CCB with minimal changes in the incidence, severity, or category of safety reports filed, suggesting staff training and preparations ahead of the relocation mitigated latent safety threats.

Non-Interruptive Clinical Decision Support to Improve Perioperative Electronic Positive Patient Identification

Positive patient identification (PPID) is an integral step to ensure the correct patient identity prior to a healthcare delivery event. Following implementation of a new EHR in November 2017, Vanderbilt University Medical Center (VUMC) experienced frequent and inconsistent failure of barcode scanners which impacted the electronic PPID (ePPID) and blood verification processes. Following multiple iterations of troubleshooting, vendor engagement, and device upgrades, we developed a clinical decision support (CDS) tool as a visual reminder to perform ePPID. If ePPID was initially bypassed, the clinician received a passive alert which remained visible throughout the procedure or until ePPID was completed successfully. We conducted a retrospective observational study using an interrupted time series analysis and analysis of variance pre- and post- CDS intervention. Following CDS intervention, we observed an immediate 20.8% increase in successful ePPID (p < 0.001). The mean success rate of ePPID attempts increased from 62.0% pre-intervention to 94.4% post-intervention (p < 0.001). There were 108 providers who had less than 80.0% success in the six-months prior to CDS intervention, of whom all improved to an average of 95.9% success. Our CDS approach highlights the utility of non-interruptive but continually visible alerts to improve patient safety workflows. By making errors clearly visible to users and their peers, performance improved to only 5.6% of alerts bypassed.

Exploration on the gap of single- and double-loop learning of balanced scorecard and organizational performance in a health organization

This paper addresses and interprets learning styles, namely, single- and double-loop learning, of BSC implementation in the background of healthcare organizaiton/industry, through which barriers and facilitators are inducted for the BSC for the healthcare industry. Samples of this study are from a community hospital with 290 beds was probed with samples of 34 BSC members interviewed. Based on the qualitative research's grounded theory, the transcript data of this study were analyzed using open, axial, and selective coding through NVIVO 10.0. By using single- and double-loop learning, this study distinguishes between adding and changing a health organization's specific capabilities, routines or abilities. Findings of this study indicated that BSC learning is more likely to improve the efficiency of the strategic management and strengthen the company's existing capabilities and routines; but it is not possible for single-loop learning to develop new capabilities. This study contributes to indicate that single-loop learning can be useful facilitators for organizational learning via affecting the positive performance of the organization, because employees are in favor of following existing routines and rules and allowing the employees to see the meaning of this balanced scorecard. However, employees still do not have the power to make changes they expect, because they do not have the power and right to change. The purpose of this research is to evaluate organizational learning performance via the implementation of the balanced scorecard in order to understand the mechanism's impact on organizational development. In short, this paper contributes practically to depict the process of executing BSC in learning organization in detail, and theoretically to understand the mechanism in optimizing organizational learning effect via BSC implementation through discussion of (1) downward penetration of single-loop learning from organization vision and goals, and upward following and promotion of double-loop learning of sub-units in the form of routines, norms, action plans and others; (2) ways of eliminating the gap by linking organizational member's values with the organization's vision in the form of giving individuals opportunities to make their own interpretation of learning results in the workplace.

Implementation of an electronic identification system in the setting of perioperative autologous cell salvage transfusion: Experience at a university hospital

Perioperative autologous cell salvage (PACS) is one of the effective strategies in patient blood management (PBM). However, mistransfusion, in which the wrong blood is transfused to the wrong patient, of PACS units has been reported. In this study, we implemented a bar code-based electronic identification system (EIS) for blood transfusion in the setting of PACS transfusion. Between February 2009 and December 2020, a total of 12341 surgical patients (9% of whom received surgical interventions) received blood transfusion, among whom 6595 (54 %) received autologous blood transfusion alone, 2877 (23 %) both autologous and allogeneic blood transfusions, and 2869 (23 %) allogeneic blood transfusion alone. Among autologous blood conservation techniques, PACS units were transfused to 7873 patients (83 %) without a single mistransfusion. Rates of overall compliance with the electronic pre-transfusion check at the bedside for all autologous units and PACS units were 98.8 and 98.5 %, respectively. Our observations suggest that a bar code-based EIS can be successfully applied to PACS transfusion, as well as allogeneic blood transfusion in operating rooms.

Reducing sample rejection in Durban, South Africa

Objectives

Rejections of clinical chemistry specimens delays the availability of results, which may impact patient management. The study aims to measure sample rejection rate, identify reasons for sample rejection, evaluate the effect of a campaign to reduce rejection rates and discover which clinical units produced the most insufficient specimen.

Methods

The study measured specimen rejection rates and the contributions of different rejection reasons in calendar 2016 and April 2018-March 2019. The study undertook a 7-intervention campaign to reduce specimen rejection during the 2018-2019 intervention period. It compared rejections rates, number of months with rejection rates ≤1.2%, and distribution of rejection reasons between the two year-long intervals. The study also determined the origin for specimens rejected for the most common rejection reason during one month in the second period.

Results

The overall rejection rate fell significantly from 1.4% in pre-intervention period to 1.2% in the intervention period. The number of months with rejection rates within the target range increased significantly from 2 in the post-intervention period to 6 in the intervention period. Insufficient, hemolysed, and 'too-old' specimen decreased significantly, however, insufficient specimen remained the most frequent rejection reason. In February 2019, one-third of all insufficient specimen came from neonatal units and 24% from the pediatric units.

Conclusions

Interventions decreased significantly both overall and monthly rejection rates above target levels. Insufficient, hemolysed, 'too-old' specimen, became significantly less frequent, however, insufficient specimen remained the most frequent rejection reason. Over a month, most insufficient specimen came from neonatal and pediatric sites.

Implementation and Effectiveness of a Bar Code-Based Transfusion Management System for Transfusion Safety in a Tertiary Hospital: Retrospective Quality Improvement Study

Background

Large-scale and long-term studies are not sufficient to determine the efficiency that IT solutions can bring to transfusion safety.

Objective

This quality-improvement report describes our continuous efforts to implement and upgrade a bar code–based transfusion management (BCTM) system since 2011 and examines its effectiveness and sustainability in reducing blood transfusion errors, in a 3000-bed tertiary hospital, where more than 60,000 prescriptions of blood transfusion are covered by 2500 nurses each year.

Methods

The BCTM system uses barcodes for patient identification, onsite labeling, and blood product verification, through wireless connection to the hospital information systems. Plan-Do-Study-Act (PDSA) cycles were used to improve the process. Process maps before and after implementation of the BCTM system in 2011 were drawn to highlight the changes. The numbers of incorrect labeling or wrong blood in tube incidents that occurred quarterly were plotted on a run chart to monitor the quality changes of each intervention introduced. The annual occurrences of error events from 2011 to 2017 were compared with the mean occurrence of 2008-2010 to determine whether implementation of the BCTM system could effectively reduce the number of errors in 2016 and whether this reduction could persist in 2017.

Results

The error rate decreased from 0.03% in 2008-2010 to 0.002% in 2016 (P<.001) and 0.001% in 2017 (P<.001) after implementation of the BTCM system. Only one incorrect labeling incident was noted among the 68,324 samples for blood typing, and no incorrect transfusions occurred among 67,423 transfusion orders in 2017.

Conclusions

This report demonstrates that continuous efforts to upgrade the existing process is critical to reduce errors in transfusion therapy, with support from information technology.

Investigating health information systems-induced errors

PURPOSE

The purpose of this paper is to present a review of health information system (HIS)-induced errors and its management. This paper concludes that the occurrence of errors is inevitable but it can be minimised with preventive measures. The review of classifications can be used to evaluate medical errors related to HISs using a socio-technical approach. The evaluation could provide an understanding of errors as a learning process in managing medical errors.

DESIGN/METHODOLOGY/APPROACH

A literature review was performed on issues, sources, management and approaches to HISs-induced errors. A critical review of selected models was performed in order to identify medical error dimensions and elements based on human, process, technology and organisation factors.

FINDINGS

Various error classifications have resulted in the difficulty to understand the overall error incidents. Most classifications are based on clinical processes and settings. Medical errors are attributed to human, process, technology and organisation factors that influenced and need to be aligned with each other. Although most medical errors are caused by humans, they also originate from other latent factors such as poor system design and training. Existing evaluation models emphasise different aspects of medical errors and could be combined into a comprehensive evaluation model.

RESEARCH LIMITATIONS/IMPLICATIONS

Overview of the issues and discourses in HIS-induced errors could divulge its complexity and enable its causal analysis.

PRACTICAL IMPLICATIONS

This paper helps in understanding various types of HIS-induced errors and promising prevention and management approaches that call for further studies and improvement leading to good practices that help prevent medical errors.

ORIGINALITY/VALUE

Classification of HIS-induced errors and its management, which incorporates a socio-technical and multi-disciplinary approach, could guide researchers and practitioners to conduct a holistic and systematic evaluation.

Administration Safety of Blood Products - Lessons Learned from a National Registry for Transfusion and Hemotherapy Practice

BACKGROUND

Compared to blood component safety, the administration of blood may not be as safe as intended. The German Interdisciplinary Task Force for Clinical Hemotherapy (IAKH) specialized registry for administration errors of blood products was chosen for a detailed analysis of reports.

METHODS

Voluntarily submitted critical incident reports (n = 138) from 2009 to 2013 were analyzed.

RESULTS

Incidents occurred in the operation room (34.1%), in the ICU (25.2%), and in the peripheral ward (18.5%). Procedural steps with errors were administration to the patient (27.2%), indication and blood order (17.1%), patient identification (17.1%), and blood sample withdrawal and tube labeling (18.0%). Bedside testing (BST) of blood groups avoided errors in only 2.6%. Associated factors were routine work conditions (66%), communication error (36%), emergency case (26%), night or weekend team (39%), untrained personnel (19%). Recommendations addressed process and quality (n = 479) as well as structure quality (n = 314). In 189 instances, an IT solution would have helped to avoid the error.

CONCLUSIONS

The administration process is prone to errors at the patient assessment for the need to transfuse and the application of blood products to patients. BST is only detecting a minority of handling errors. According to the expert recommendations for practice improvement, the potential to improve transfusion safety by a technical solution is considerable.

The Impact of an Electronic Ordering System on Blood Bank Specimen Rejection Rates

OBJECTIVES

To evaluate the impact that an electronic ordering system has on the rate of rejection of blood type and screen testing samples and the impact on the number of ABO blood-type discrepancies over a 4-year period.

METHODS

An electronic ordering system was implemented in May 2011. Rejection rates along with reasons for rejection were tracked between January 2010 and December 2013.

RESULTS

A total of 40,104 blood samples were received during this period, of which 706 (1.8%) were rejected for the following reasons: 382 (54.0%) unsigned samples, 235 (33.0%) mislabeled samples, 57 (8.0%) unsigned requisitions, 18 (2.5%) incorrect tubes, and 14 (1.9%) ABO discrepancies. Of the samples, 2.5% were rejected in the year prior to implementing the electronic ordering system compared with 1.2% in the year following implementation ( P  < .0001).

CONCLUSIONS

Our data demonstrate that implementation of an electronic ordering system significantly decreased the rate of blood sample rejection.

Reduction in Hospital-Wide Clinical Laboratory Specimen Identification Errors following Process Interventions: A 10-Year Retrospective Observational Study

Background

Accurate patient identification and specimen labeling at the time of collection are crucial steps in the prevention of medical errors, thereby improving patient safety.

Methods

All patient specimen identification errors that occurred in the outpatient department (OPD), emergency department (ED), and inpatient department (IPD) of a 3,800-bed academic medical center in Taiwan were documented and analyzed retrospectively from 2005 to 2014. To reduce such errors, the following series of strategies were implemented: a restrictive specimen acceptance policy for the ED and IPD in 2006; a computer-assisted barcode positive patient identification system for the ED and IPD in 2007 and 2010, and automated sample labeling combined with electronic identification systems introduced to the OPD in 2009.

Results

Of the 2000345 specimens collected in 2005, 1023 (0.0511%) were identified as having patient identification errors, compared with 58 errors (0.0015%) among 3761238 specimens collected in 2014, after serial interventions; this represents a 97% relative reduction. The total number (rate) of institutional identification errors contributed from the ED, IPD, and OPD over a 10-year period were 423 (0.1058%), 556 (0.0587%), and 44 (0.0067%) errors before the interventions, and 3 (0.0007%), 52 (0.0045%) and 3 (0.0001%) after interventions, representing relative 99%, 92% and 98% reductions, respectively.

Conclusions

Accurate patient identification is a challenge of patient safety in different health settings. The data collected in our study indicate that a restrictive specimen acceptance policy, computer-generated positive identification systems, and interdisciplinary cooperation can significantly reduce patient identification errors.

A Case of Transfusion Error in a Trauma Patient With Subsequent Root Cause Analysis Leading to Institutional Change

A 28-year-old man presented emergently to the operating room following a gun-shot injury to his right groin. Our hospital’s Massive Transfusion Protocol was initiated as the patient entered the operating room actively hemorrhaging and severely hypotensive. During the aggressive resuscitation efforts, the patient was inadvertently transfused 2 units of packed red blood cells intended for another patient due to a series of errors. Fortunately, the incorrect product was compatible, and the patient recovered from his near-fatal injuries. Root cause analysis was used to review the transfusion error and develop an action plan to help prevent future occurrences.

How Effective Are Incident-Reporting Systems for Improving Patient Safety? A Systematic Literature Review

CONTEXT

Incident-reporting systems (IRSs) are used to gather information about patient safety incidents. Despite the financial burden they imply, however,little is known about their effectiveness. This article systematically reviews the effectiveness of IRSs as a method of improving patient safety through organizational learning.

METHODS

Our systematic literature review identified 2 groups of studies: (1)those comparing the effectiveness of IRSs with other methods of error reporting and (2) those examining the effectiveness of IRSs on settings, structures, and outcomes in regard to improving patient safety. We used thematic analysis to compare the effectiveness of IRSs with other methods and to synthesize what was effective, where, and why. Then, to assess the evidence concerning the ability of IRSs to facilitate organizational learning, we analyzed studies using the concepts of single-loop and double-loop learning.

FINDINGS

In total, we identified 43 studies, 8 that compared IRSs with other methods and 35 that explored the effectiveness of IRSs on settings, structures,and outcomes. We did not find strong evidence that IRSs performed better than other methods. We did find some evidence of single-loop learning, that is, changes to clinical settings or processes as a consequence of learning from IRSs, but little evidence of either improvements in outcomes or changes in the latent managerial factors involved in error production. In addition, there was insubstantial evidence of IRSs enabling double-loop learning, that is, a cultural change or a change in mind-set.

CONCLUSIONS

The results indicate that IRSs could be more effective if the criteria for what counts as an incident were explicit, they were owned and ledby clinical teams rather than centralized hospital departments, and they were embedded within organizations as part of wider safety programs.

Development and Implementation of the ANISA Labeling and Tracking System for Biological Specimens

BACKGROUND

The Aetiology of Neonatal Infection in South Asia study is a major effort to determine the causes of community-acquired neonatal infections. It involves collecting epidemiological, clinical and laboratory data in 5 sites in 3 countries. The field and laboratory research operations are streamlined to maintain integrity and validity while operating in complex and variable environments. We developed a customized system for implementation of labeling and tracking biological specimen in both rural and urban community settings and integrated into all study laboratories. This report outlines the development and implementation of this harmonized system.

DESIGN

The system links and tracks specimens with study participants and results generated from laboratory tests. Each biological specimen and its aliquots are tracked through key steps of the protocol, from collection and transport through molecular testing and long-term storage.

CONCLUSION

The labeling and tracking system allows for standardization and monitoring of laboratory processes and improves the accuracy of Aetiology of Neonatal Infection in South Asia data. Community-based scientific projects could greatly benefit by adopting this, or a similar, system for specimen tracking and data linkage.

Reduction of incorrect record accessing and charting patient electronic medical records in the perioperative environment

Opening and charting in the incorrect patient electronic record presents a patient safety issue. The authors investigated the prevalence of reported errors and whether efforts utilizing the anesthesia time-out and barcoding have decreased the incidence of errors in opening and charting in the patient electronic medical record in the perioperative environment. The authors queried the database for all surgeries and procedures requiring anesthesia from January 2009 to September 2012. Of the 115,760 records of anesthesia procedures identified, there were 57 instances of incorrect record opening and charting during the study period. A decreasing trend was observed for all sites combined (p < 0.0001) and at the off-site locations (p = 0.0032). All locations and the off-site locations demonstrated a statistically significant decreasing pattern of errors over time. Barcoding and the anesthesia time-out may play an important role in decreasing errors in incorrect patient record opening in the perioperative environment.

Transfusion errors: causes, incidence, and strategies for prevention

PURPOSE OF REVIEW

Miss-transfusion of blood has become one of the leading causes of death related to blood transfusion. New technology is able to better prevent miss-transfusions than older methods.

RECENT FINDINGS

New computer-based technology is available and is very effective in preventing miss-transfusion of blood.

SUMMARY

Humans make errors. New technology can prevent those errors.

Wrong blood in tube - potential for serious outcomes: can it be prevented?

'Wrong blood in tube' (WBIT) errors, where the blood in the tube is not that of the patient identified on the label, may lead to catastrophic outcomes, such as death from ABO-incompatible red cell transfusion. Transfusion is a multistep, multidisciplinary process in which the human error rate has remained unchanged despite multiple interventions (education, training, competency testing and guidelines). The most effective interventions are probably the introduction of end-to-end electronic systems and a group-check sample for patients about to receive their first transfusion, but neither of these eradicates all errors. Further longer term studies are required with assessment before and after introduction of the intervention. Although most focus has been on WBIT in relation to blood transfusion, all pathology samples should be identified and linked to the correct patient with the same degree of care. Human factors education and training could help to increase awareness of human vulnerability to error, particularly in the medical setting where there are many risk factors.

Restrictive blood transfusion practices are associated with improved patient outcomes

BACKGROUND

Blood transfusion has been cited as one of the five most overutilized therapeutic procedures in the United States. We assessed the impact of clinical decision support at computerized physician order entry and education on red blood cell (RBC) transfusions and clinical patient outcomes at our institution.

STUDY DESIGN AND METHODS

Clinical patient outcomes and RBC transfusions were assessed before and after implementation of a best practice alert triggered for transfusions when the hemoglobin level was higher than 7 g/dL for all inpatient discharges from January 2008 through December 2013. Retrospective clinical and laboratory data related to RBC transfusions were extracted: case-mix complexity, patient discharges and selected surgical volumes, and patient outcomes (mortality, 30-day readmissions, length of stay).

RESULTS

There was a significant improvement in RBC utilization as assessed by RBC units transfused per 100 patient-days-at-risk. Concurrently, hospital-wide clinical patient outcomes showed improvement (mortality, p = 0.034; length of stay, p = 0.003) or remained stable (30-day readmission rates, p = 0.909). Outcome improvements were even more pronounced in patients who received blood transfusions, with decreased mortality rate (55.2 to 33.0, p < 0.001), length of stay (mean, 10.1 to 6.2 days, p < 0.001), and 30-day readmission rate (136.9 to 85.0, p < 0.001). The mean number of units transfused per patient also declined (3.6 to 2.7, p < 0.001). Acquisition costs of RBC units per 1000 patient discharges decreased from $283,130 in 2009 to $205,050 in 2013 with total estimated savings of $6.4 million and likely far greater impact on total transfusion-related costs.

CONCLUSION

Improved blood utilization is associated with improved clinical patient outcomes.

Computerized bar code-based blood identification systems and near-miss transfusion episodes and transfusion errors

OBJECTIVE

To determine whether the use of a computerized bar code-based blood identification system resulted in a reduction in transfusion errors or near-miss transfusion episodes.

PATIENTS AND METHODS

Our institution instituted a computerized bar code-based blood identification system in October 2006. After institutional review board approval, we performed a retrospective study of transfusion errors from January 1, 2002, through December 31, 2005, and from January 1, 2007, through December 31, 2010.

RESULTS

A total of 388,837 U were transfused during the 2002-2005 period. There were 6 misidentification episodes of a blood product being transfused to the wrong patient during that period (incidence of 1 in 64,806 U or 1.5 per 100,000 transfusions; 95% CI, 0.6-3.3 per 100,000 transfusions). There was 1 reported near-miss transfusion episode (incidence of 0.3 per 100,000 transfusions; 95% CI, <0.1-1.4 per 100,000 transfusions). A total of 304,136 U were transfused during the 2007-2010 period. There was 1 misidentification episode of a blood product transfused to the wrong patient during that period when the blood bag and patient's armband were scanned after starting to transfuse the unit (incidence of 1 in 304,136 U or 0.3 per 100,000 transfusions; 95% CI, <0.1-1.8 per 100,000 transfusions; P=.14). There were 34 reported near-miss transfusion errors (incidence of 11.2 per 100,000 transfusions; 95% CI, 7.7-15.6 per 100,000 transfusions; P<.001).

CONCLUSION

Institution of a computerized bar code-based blood identification system was associated with a large increase in discovered near-miss events.

Interventions to increase clinical incident reporting in health care

BACKGROUND

Reporting of adverse clinical events is thought to be an effective method of improving the safety of healthcare. Underreporting of these adverse events is often said to occur with consequence of missing of opportunities to learn from these incidents. A clinical incident can be defined as any occurrence which is not consistent with the routine care of the patient or the routine operation of the institution.

OBJECTIVES

To assess the effects of interventions designed to increase clinical incident reporting in healthcare settings.

SEARCH METHODS

We searched the the following databases: Cochrane Effective Practice and Organisation of Care Group Specialised Register, the Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (OVID), EMBASE (OVID), CINAHL (EBSCO), Social Science Citation Index and Science Citation Index (Web of Knowledge), Healthstar (OVID), INSPEC, DHSS-DATA, SIGLE, ISI Conference Proceedings, Web of Science Conference Proceedings Citation Index (Science), Database of Abstracts of Reviews of Effectiveness (DARE).

SELECTION CRITERIA

Randomised controlled trials (RCT), controlled before-after studies (CBA) and interrupted time series (ITS) of interventions designed to increase clinical incident reporting in healthcare.

DATA COLLECTION AND ANALYSIS

At least two review authors assessed the eligibility of potentially relevant studies, extracted the data and assessed the quality of included studies.

MAIN RESULTS

Four studies (one CBA and three ITS studies) met our inclusion criteria and were included in the review. The CBA study showed a significant improvement in incident reporting rates after the introduction of the new reporting system. Just one of the ITS studies showed a statistically significant improved effectiveness of the new reporting system from nine months. The other two studies reported no statistically significant improvements.

AUTHORS' CONCLUSIONS

Because of the limitations of the studies it is not possible to draw conclusions for clinical practice. Anyone introducing a system into practice should give careful consideration to conducting an evaluation using a robust design.

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

BACKGROUND

A retrospective study carried out on medical records of transfused patients in our hospital in 2002 revealed that manual identification procedures were insufficient to offer satisfactory traceability. The aim of this study was to assess adequacy of transfusion traceability and compliance with proper identification procedures after introducing an electronic identification system (EIS) for transfusion safety.

MATERIALS AND METHODS

The chosen EIS (Gricode(®)) was set up. Traceability was calculated as the percentage of empty blood units used returned to the Transfusion Service, compared to the number of supplied units. Compliance in the Transfusion Service was calculated as the percentage of electronic controls from dispatch of blood components/transfusion request performed, compared to the total number of transfused units. Compliance in the ward was calculated as the percentage of electronic controls from sample collection/transfusion performed, compared to the total number of samples collected.

RESULTS

This retrospective study showed that only 48.0% of the medical records were free of inaccuracies. After the implementation of the EIS (2005-2008), traceability was always above 99%. Percentage of monthly compliance from 2006 to 2008 was always above 93%, showing a significant trend to increase (p<0.05). The mean compliance in this period was higher in the Transfusion Service (97.8 ± 0.7 SD) than in the ward (94.9 ± 2.4 SD; p<0.001). Compliance in the ward was lowest when the system was first implemented (87.9% in April 2006) after which it progressively increased. No errors in ABO transfusions were registered.

CONCLUSION

After implementation of the EIS, traceability and compliance reached very high levels, linked to an improvement in transfusion safety.

Blood transfusions in critical care: improving safety through technology & process analysis

A multidisciplinary safety initiative transformed blood transfusion practices at St. Luke's Episcopal Hospital in Houston, Texas. An intense analysis of a mistransfusion using the principles of a Just Culture and the process of Cause Mapping identified system and human performance factors that led to the transfusion error. Multiple initiatives were implemented including technology, education and human behaviour change. The wireless technology of Pyxis Transfusion Verification by CareFusion is effective with the rapid infusion module efficient for use in critical care. Improvements in blood transfusion safety were accomplished by thoroughly evaluating the process of transfusions and by implementing wireless electronic transfusion verification technology. During the 27 months following implementation of the CareFusion Transfusion Verification there have been zero cases of transfusing mismatched blood.

Causes, consequences, detection, and prevention of identification errors in laboratory diagnostics

Laboratory diagnostics, a pivotal part of clinical decision making, is no safer than other areas of healthcare, with most errors occurring in the manually intensive preanalytical process. Patient misidentification errors are potentially associated with the worst clinical outcome due to the potential for misdiagnosis and inappropriate therapy. While it is misleadingly assumed that identification errors occur at a low frequency in clinical laboratories, misidentification of general laboratory specimens is around 1% and can produce serious harm to patients, when not promptly detected. This article focuses on this challenging issue, providing an overview on the prevalence and leading causes of identification errors, analyzing the potential adverse consequences, and providing tentative guidelines for detection and prevention based on direct-positive identification, the use of information technology for data entry, automated systems for patient identification and specimen labeling, two or more identifiers during sample collection and delta check technology to identify significant variance of results from historical values. Once misidentification is detected, rejection and recollection is the most suitable approach to manage the specimen.