Barcode technology: its role in increasing the safety of blood transfusion

Implementation challenges of electronic blood transfusion safety systems: Lessons from an international, multi-site comparative case study

BACKGROUND

Severe transfusion reactions resulting from errors in matching the correct blood with the correct patient are considered never events. Despite the relative technical simplicity of barcode scanning for patient-blood bag matching, the adoption and universal application of this safety measure are by no means universal. This study highlights the logistical and institutional challenges associated with spreading, scaling up, and sustaining such IT-supported safety measures in healthcare.

STUDY DESIGN AND METHODS

We report findings from a 5-year, prospective, multi-site case study conducted across one hospital in England and three hospitals in the Netherlands. Ethnographic methods, including interviews and observations, were used at each site to investigate the implementation of barcode scanning-supported safety pathways for blood transfusions.

RESULTS

Significant variation was observed across the sites in the adoption and implementation of barcode scanning-supported safety pathways. Despite the potential for reducing transfusion errors, the introduction of this innovation was met with varying levels of success in different settings.

DISCUSSION

This study highlights the critical role of inter-hospital learning and flexible system design in successfully implementing barcode scanning-supported safety pathways for blood transfusions. A more structured, national-level network for knowledge sharing could enhance the spread and sustainability of such innovations across healthcare settings.

Electronic witnessing in the medically assisted reproduction laboratory: insights and considerations after 10 years of use

STUDY QUESTION

What have we learnt after 10 years of electronic witnessing?

SUMMARY ANSWER

When applied correctly, an electronic witnessing system can replace manual witnessing in the medically assisted reproduction lab to prevent sample mix-up.

WHAT IS KNOWN ALREADY

Electronic witnessing systems have been implemented to improve the correct identification, processing, and traceability of biological materials. When non-matching samples are simultaneously present in a single workstation, a mismatch event is generated to prevent sample mix-up.

STUDY DESIGN, SIZE, DURATION

This evaluation investigates the mismatch and administrator assign rate over a 10-year period (March 2011-December 2021) with the use of an electronic witnessing system. Radiofrequency identification tags and barcodes were used for patient and sample identification. Since 2011, IVF and ICSI cycles and frozen embryo transfer cycles (FET) were included; IUIs cycles were included since 2013.

PARTICIPANTS/MATERIALS, SETTING, METHODS

The total number of tags and witnessing points were recorded. Witnessing points in a particular electronic witnessing system represent all the actions that have been performed from gamete collection through embryo production, to cryopreservation and transfer. Mismatches and administrator assigns were collected and stratified per procedure (sperm preparation, oocyte retrieval, IVF/ICSI, cleavage stage embryo or blastocyst embryo biopsy, vitrification and warming, embryo transfer, medium changeover, and IUI). Critical mismatches (such as mislabelling or non-matching samples within one work area) and critical administrator assigns (such as samples not identified by the electronic witnessing system and unconfirmed witnessing points) were selected.

MAIN RESULTS AND THE ROLE OF CHANCE

A total of 109 655 cycles were included: 53 023 IVF/ICSI, 36 347 FET, and 20 285 IUI cycles. The 724 096 used tags, led to a total of 849 650 witnessing points. The overall mismatch rate was 0.251% (2132/849 650) per witnessing point and 1.944% per cycle. In total, 144 critical mismatches occurred over the different procedures. The yearly mean critical mismatch rate was 0.017 ± 0.007% per witnessing point and 0.129 ± 0.052% per cycle. The overall administrator assign rate was 0.111% (940/849 650) per witnessing point and 0.857% per cycle, including 320 critical administrator assigns. The yearly mean critical administrator assign rate was 0.039 ± 0.010% per witnessing point and 0.301 ± 0.069% per cycle. Overall mismatch and administrator assign rates remained fairly stable during the evaluated time period. Sperm preparation and IVF/ICSI were the procedures most prone to critical mismatch and administrator assigns.

LIMITATIONS, REASONS FOR CAUTION

The procedures and methods of integration of an electronic witnessing system may vary from one laboratory to another and result in differences in the potential risks related to sample identification. Individual embryos cannot (yet) be identified by such a system; this makes extra manual witnessing indispensable at certain critical steps where potential errors are not recorded. The electronic witnessing system still needs to be used in combination with manual labelling of both the bottom and lid of dishes and tubes to guarantee correct assignment in case of malfunction or incorrect use of radiofrequency identification tags.

WIDER IMPLICATIONS OF THE FINDINGS

Electronic witnessing is considered to be the ultimate tool to safeguard correct identification of gametes and embryos. But this is only possible when used correctly, and proper training and attention of the staff is required. It may also induce new risks, i.e. blind witnessing of samples by the operator.

STUDY FUNDING/COMPETING INTEREST(S)

No funding was either sought or obtained for this study. J.S. presents webinars on RIW for CooperSurgical. The remaining authors have nothing to declare.

TRIAL REGISTRATION NUMBER

N/A.

Benefits, barriers, and facilitators of using speech recognition technology in nursing documentation and reporting: A cross-sectional study

Background and Aim

Nursing reports are necessary for clinical communication and provide an accurate reflection of nursing assessments, care provided, changes in clinical status, and patient-related information to support the multidisciplinary team to provide individualized care. Nurses always face challenges in recording and documenting nursing reports. Speech recognition systems (SRS), as one of the documentation technologies, can play a potential role in recording medical reports. Therefore, this study seeks to identify the barriers, benefits, and facilitators of utilizing speech recognition technology in nursing reports.

Materials and Methods

This cross-sectional was conducted through a researcher-made questionnaire in 2022. Invitations were sent to 200 ICU nurses working in the three educational hospitals of Imam Reza (AS), Qaem and Imam Zaman in Mashhad city (Iran), 125 of whom accepted our invitation. Finally, 73 nurses included the study based on inclusion and exclusion criteria. Data analysis was performed using SPSS 22.0.

Results

According to the nurses, "paperwork reduction" (3.96, ±1.96), "performance improvement" (3.96, ±0.93), and "cost reduction" (3.95, ±1.07) were the most common benefits of using the SRS. "Lack of specialized, technical, and experienced staff to teach nurses how to work with speech recognition systems" (3.59, ±1.18), "insufficient training of nurses" (3.59, ±1.11), and "need to edit and control quality and correct documents" (3.59, ±1.03) were the most common barriers to using SRS. As well as "ability to fully review documentation processes" (3.62, ±1.13), "creation of integrated data in record documentation" (3.58, ±1.15), "possibility of error correction for nurses" (3.51, ±1.16) were the most common facilitators. There was no significant relationship between nurses' demographic information and the benefits, barriers, and facilitators.

Conclusions

By providing information on the benefits, barriers, and facilitators of using this technology, hospital managers, nursing managers, and information technology managers of healthcare centers can make more informed decisions in selecting and implementing SRS for nursing report documentation. This will help to avoid potential challenges that may reduce the efficiency, effectiveness, and productivity of the systems.

Proficiency-based progression intern training to reduce critical blood sampling errors including ‘wrong blood in tube’

Background: Blood sampling errors including ‘wrong blood in tube’ (WBIT) may have adverse effects on clinical outcomes. WBIT errors occur when the blood sample in the tube is not that of the patient identified on the label. This study aims to determine the effect of proficiency-based progression (PBP) training in phlebotomy on the rate of blood sampling errors (including WBIT). Methods: A non-randomised controlled trial compared the blood sampling error rate of 43 historical controls who had not undergone PBP training in 2016 to 44 PBP trained interventional groups in 2017. In 2018, the PBP training programme was implemented and the blood sampling error rate of 46 interns was compared to the 43 historical controls in 2016. Data analysis was performed using logistic regression analysis adjusting for sample timing. Results: In 2016, 43 interns had a total blood sample error rate of 2.4%, compared to 44 interns in 2017, who had error rate of 1.2% (adjusted OR=0.50, 95% CI 0.36-0.70; <0.01). In 2018, 46 interns had an error rate of 1.9% (adjusted OR=0.89, 95% CI 0.65-1.21; p=0.46) when compared to the 2016 historical controls. There were three WBITs in 2016, three WBITs in 2017 and five WBITs in 2018.  Conclusions: The study demonstrates that PBP training in phlebotomy has the potential to reduce blood sampling errors. Trial registration number: NCT03577561

Factors associated with wrong blood in tube errors: An international case series - The BEST collaborative study

BACKGROUND

A wrong blood in tube (WBIT) error signifies a blood sample that does not match the patient identified on the sample label. WBIT errors can result in ABO mistransfusions.

STUDY DESIGN AND METHODS

In this international, multicenter, descriptive study, healthcare facilities provided detailed information on WBIT errors occurring from 1/1/2019 to 12/31/2020. Factors contributing to WBIT errors were classified as protocol violations, knowledge gaps, and slips/lapses.

RESULTS

331 WBIT errors were compiled from 36 centers in 11 countries. WBIT errors were most frequently detected through pretransfusion sample testing (191, 58%), with 38 (20%) detected by a second ("check") sample. WBIT errors were divided almost evenly between intended patient drawn/wrong label applied (166, 50%) and wrong patient drawn/intended label applied (158, 48%). Information on contributing factors was available for 260 WBIT errors; most involved a combination of protocol violations and slips/lapses (139, 53%). The most frequent contributing factor was another patient's sample labels or tubes being available during phlebotomy (61%). Protocol violations were more likely to result in wrong patient being drawn (p = .0007). In 43 WBIT errors, electronic positive patient identification (ePPID) was not used when available or was used incorrectly.

CONCLUSIONS

Protocol violations and slips/lapses frequently contribute to WBIT errors. Sample collection processes should be designed to minimize error opportunities; staff should be educated on why protocol compliance is critical for patient safety. Using ePPID does not eliminate all WBIT errors. Institutions using ePPID may elect to require check sample verification as an added safety measure.

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.

Proficiency-based progression intern training to reduce critical blood sampling errors including ‘wrong blood in tube’

Background: Blood sampling errors including ‘wrong blood in tube’ (WBIT) may have adverse effects on clinical outcomes. WBIT errors occur when the blood sample in the tube is not that of the patient identified on the label. This study aims to determine the effect of proficiency-based progression (PBP) training in phlebotomy on the rate of blood sampling errors (including WBIT). Methods: A non-randomised controlled trial compared the blood sampling error rate of 43 historical controls who had not undergone PBP training in 2016 to 44 PBP trained interventional groups in 2017. In 2018, the PBP training programme was implemented and the blood sampling error rate of 46 interns was compared to the 43 historical controls in 2016. Data analysis was performed using logistic regression analysis adjusting for sample timing. Results: In 2016, 43 interns had a total blood sample error rate of 2.4%, compared to 44 interns in 2017, who had error rate of 1.2% (adjusted OR=0.50, 95% CI 0.36-0.70; <0.01). In 2018, 46 interns had an error rate of 1.9% (adjusted OR=0.89, 95% CI 0.65-1.21; p=0.46) when compared to the 2016 historical controls. There were three WBITs in 2016, three WBITs in 2017 and five WBITs in 2018.  Conclusions: The study demonstrates that PBP training in phlebotomy has the potential to reduce blood sampling errors. Trial registration number: NCT03577561

Using Failure Mode and Effects Analysis in Blood Administration Process in Surgical Care Units: New Categories of Errors

BACKGROUND

Blood administration failures and errors have been a crucial issue in health care settings. Failure mode and effects analysis is an effective tool for the analysis of failures and errors in such lifesaving procedures. These failures or errors would lead to adverse outcomes for patients during blood administration.

OBJECTIVES

The study aimed to: use health care failure mode and effect analysis (HFMEA) for assessing potential failure modes associated with blood administration processes among nurses; develop a categorization of blood administration errors; and identify underlying reasons, proactive measures for identified failure modes, and corrective actions for identified high-risk failures.

METHODS

A cross-sectional descriptive study was conducted in surgical care units by using observation, HFMEA, and brainstorming techniques. Prioritization of detected potential failures was performed by Pareto analysis.

RESULTS

Eleven practical steps and 38 potential failure modes associated with 11 categories of errors were detected in this process. These categories of errors were newly developed in this study. In total, 17 of 38 potential failures were detected as high-risk failures that occurred during the sample-drawing, checking, preparing, administering, and monitoring steps. For cause analysis of failures and errors, proactive suggested actions were undertaken for 38 potential failure modes, and corrective actions for 17 high-risk failures.

CONCLUSION

HFMEA is an efficient and well-organized tool for identification of and reduction in high-risk failures and errors in the blood administration process among nurses without building punitive culture. This tool also helps pay attention to redesigning and standardizing the blood administration process as well as providing training and educational programs for providing knowledge.

Improving Transfusion Safety in the Operating Room With a Barcode Scanning System Designed Specifically for the Surgical Environment and Existing Electronic Medical Record Systems: An Interrupted Time Series Analysis

BACKGROUND

Manual processes for verifying patient identification before blood transfusion and documenting this pretransfusion safety check are prone to errors, and compliance with manual systems is especially poor in urgent operating room settings. An automated, electronic barcode scanner system would be expected to improve pretransfusion verification and documentation.

METHODS

Audits were conducted of blood transfusion documentation under a manual paper system from January to October 2014. An electronic barcode scanning system was developed to streamline transfusion safety checking and automate documentation. This system was implemented in 58 operating rooms between October and December 2014, with follow-up compliance audits through December 2015. The association of barcode scanner implementation with transfusion documentation compliance was assessed using an interrupted time series analysis. Anesthesia providers were surveyed regarding their opinions on the electronic system. In mid-2016, the scanning system was modified to transfer from the Metavision medical record system to Epic OpTime. Follow-up analysis assessed performance of this system within Epic during 2017.

RESULTS

In an interrupted time series analysis, the proportion of units with compliant documentation was estimated to be 19.6% (95% confidence interval [CI], 10.7-25.6) the week before scanner implementation, and 74.4% (95% CI, 59.4-87.4) the week after implementation. There was a significant postintervention level change (odds ratio 10.80, 95% CI, 6.31-18.70; P < .001) and increase in slope (odds ratio 1.14 per 1-week increase, 95% CI, 1.11-1.17; P < .001). After implementation, providers chose to use the new electronic system for 98% of transfusions. Across the 2 years analyzed (15,997 transfusions), the electronic system detected 45 potential transfusion errors in 27 unique patients, and averted transfusion of 36 mismatched blood products into 20 unique patients. A total of 69%, 86%, and 88% of providers reported the electronic system improved patient safety, blood transfusion workflow, and transfusion documentation, respectively. When providers used the barcode scanner, no transfusion errors or reactions were reported. The scanner system was successfully transferred from Metavision to Epic without retraining staff or changing workflows.

CONCLUSIONS

A barcode-based system designed for easy integration to different commonly used anesthesia information management systems was implemented in a large urban academic hospital. The system allows a single user with the assistance of a software system to perform and document pretransfusion safety verification. The system improved transfusion documentation compliance, averted potential transfusion errors, and became the preferred method of blood transfusion safety checking.

How to verify patient identity and blood product compatibility using an electronic bedside transfusion system

Transfusion of an incorrect blood component is an important avoidable serious hazard of transfusion resulting from process errors. Our group and others have taken advantage of new technology and developed electronic transfusion systems for safe transfusion practice in a previous studies. They allow the clinical staff to correctly identify the patient and the blood product at the bedside, ensuring the right blood product is given to the right patient. This video is to demonstrate the process and not to promote any specific product. It is a follow up our previous video clip on electronic remote blood issue in a previous study. The process for correct patient identification originates from the wristband, which contains the patient identification details in a 2D barcode and is printed from the electronic patient record system. These details are associated with the blood sample through using a portable printer to produce a label for the sample tube. The patient details are scanned into the blood bank laboratory information system (LIS) and are then printed on a compatibility label by the LIS, which also contains a 2-dimensional barcode, and is then attached to the blood product. Following an initial visual check of these details by the clinical staff, the electronic bedside system requires that both the patient wristband barcode and the blood product compatibility barcode are scanned. This will electronically verify at the patient's bedside that the right unit is to be given to the right patient. This is the final step in ensuring end-to-end electronic control and safe transfusion practice.

A novel approach to bedside pretransfusion identity check of blood and its components: the Sandesh Positive-Negative protocol

Background

Blood component mistransfusion is generally due to preventable clerical errors, specifically pretransfusion misidentification of patient/blood unit at bedside. Hence, electronic devices such as barcode scanners are recommended as the standard instrument used to check the patient’s identity. However, several healthcare facilities in underdeveloped countries cannot afford this instrument; hence, they usually perform subjective visual assessment to check the patient’s identity. This type of assessment is prone to clinical errors, which precipitates significant level of anxiety in the healthcare personnel transfusing the blood unit. Hence, a novel objective method in performing pretransfusion identity check, the ‘Sandesh Positive-Negative (SPON) protocol,’ was developed.

Methods

A nonrandomized study on bedside pretransfusion identity check was conducted, and 75 health care personnel performed transfusion. The intervention was performed by matching a custom-made negative label with blood component with the positive label of the same patient available at bedside who was about to receive transfusion.

Results

In total, 85.3% of the subjects were anxious while performing pretransfusion identity check based on the existing standard practice. After the implementation of the SPON protocol, only 38.7% experienced either mild, moderate or severe anxiety. The overall level of satisfaction also increased from 8.0% to 38.7% and none were dissatisfied. Although only 9.3% were dissatisfied about the existing practice, approximately 70.7% felt the need for a better/additional protocol. Clerical error was not observed.

Conclusions

The SPON protocol is a cost-effective objective method that reduces anxiety and increases satisfaction levels when performing final bedside identity check of blood components.

Prediction of the service life of surgical instruments from the surgical instrument management system log using radio frequency identification

BACKGROUND

Bar code- or radio frequency identification (RFID)-based medical instrument management systems have gradually been introduced in the field of surgical medicine for the individual management and identification of instruments. We hypothesized that individual management of instruments using RFID tags can provide previously unavailable information, particularly the precise service life of an instrument. Such information can be used to prevent medical accidents caused by surgical instrument failure. This study aimed to predict the precise service life of instruments by analyzing the data available in instrument management systems.

METHODS

We evaluated the repair history of instruments and the usage count until failure and then analyzed the data by the following three methods: the distribution of the instrument usage count was determined, an instrument failure probability model was generated through logistic regression analysis, and survival analysis was performed to predict instrument failure.

RESULTS

The usage count followed a normal distribution. Analysis showed that instruments were not used uniformly during surgery. In addition, the Kaplan-Meier curves plotted for five types of instruments showed significant differences in the cumulative survival rate of different instruments.

CONCLUSIONS

The usage history of instruments obtained with RFID tags or bar codes can be used to predict the probability of instrument failure. This prediction is significant for determining the service life of an instrument. Implementation of the developed model in instrument management systems can help prevent accidents due to instrument failure. Knowledge of the instrument service life will also help in developing a purchase plan for instruments to minimize wastage.

A ward-based time study of paper and electronic documentation for recording vital sign observations

OBJECTIVE

To investigate time differences in recording observations and an early warning score using traditional paper charts and a novel e-Obs system in clinical practice.

METHODS

Researchers observed the process of recording observations and early warning scores across 3 wards in 2 university teaching hospitals immediately before and after introduction of the e-Obs system. The process of recording observations included both measurement and documentation of vital signs. Interruptions were timed and subtracted from the measured process duration. Multilevel modeling was used to compensate for potential confounding factors.

RESULTS

In all, 577 nurse events were observed (281 paper, 296 e-Obs). The geometric mean time to take a complete set of vital signs was 215 s (95% confidence interval [CI], 177 s-262 s) on paper, and 150 s (95% CI, 130 s-172 s) electronically. The treatment effect ratio was 0.70 (95% CI, 0.57-0.85, P  < .001). The treatment effect ratio in ward 1 was 0.37 (95% CI, 0.26-0.53), in ward 2 was 0.98 (95% CI, 0.70-1.38), and in ward 3 was 0.93 (95% CI, 0.66-1.33).

DISCUSSION

Introduction of an e-Obs system was associated with a statistically significant reduction in overall time to measure and document vital signs electronically compared to paper documentation. The reductions in time varied among wards and were of clinical significance on only 1 of 3 wards studied.

CONCLUSION

Our results suggest that introduction of an e-Obs system could lower nursing workload as well as increase documentation quality.

Preventing blood transfusion failures: FMEA, an effective assessment method

BACKGROUND

Failure Mode and Effect Analysis (FMEA) is a method used to assess the risk of failures and harms to patients during the medical process and to identify the associated clinical issues. The aim of this study was to conduct an assessment of blood transfusion process in a teaching general hospital, using FMEA as the method.

METHODS

A structured FMEA was recruited in our study performed in 2014, and corrective actions were implemented and re-evaluated after 6 months. Sixteen 2-h sessions were held to perform FMEA in the blood transfusion process, including five steps: establishing the context, selecting team members, analysis of the processes, hazard analysis, and developing a risk reduction protocol for blood transfusion.

RESULTS

Failure modes with the highest risk priority numbers (RPNs) were identified. The overall RPN scores ranged from 5 to 100 among which, four failure modes were associated with RPNs over 75. The data analysis indicated that failures with the highest RPNs were: labelling (RPN: 100), transfusion of blood or the component (RPN: 100), patient identification (RPN: 80) and sampling (RPN: 75).

CONCLUSION

The results demonstrated that mis-transfusion of blood or blood component is the most important error, which can lead to serious morbidity or mortality. Provision of training to the personnel on blood transfusion, knowledge raising on hazards and appropriate preventative measures, as well as developing standard safety guidelines are essential, and must be implemented during all steps of blood and blood component transfusion.

Can mHealth improve access to safe blood for transfusion during obstetric emergency?

PURPOSE

Of the 99% maternal deaths that take place in developing countries, one-fourth is due to postpartum hemorrhage (PPH). PPH accounts for one-third of all blood transfusions in Bangladesh where the transfusion process is lengthy as most facilities do not have in-house blood bank facilities. In this context, the location where blood is obtained and the processes of obtaining blood products are not standardized, leading to preventable delays in collecting blood, when it is needed. This study evaluated the effectiveness of an online Blood Information Management Application (BIMA) system for reducing lag time in the blood transfusion process.

PATIENTS AND METHODS

The study was conducted in a public medical college hospital in Dhaka, Bangladesh, and in two proximate, licensed blood banks between January 2014 and March 2015, using a before after design. A total of 310 women (143 before and 177 after), who needed emergency blood transfusion during their perinatal period, as determined by a medical professional, were included in the study. A median linear regression model was employed to assess the adjusted effect of BIMA on transfusion time.

RESULTS

After the introduction of BIMA, the median duration between the identified need for blood and blood transfusion reduced from 152 to 122 minutes (P<0.05). For PPH specifically, the reduction was from 175 to 113 minutes (P<0.05). After introducing BIMA and after adjusting for criteria such as maternal age, education, parity, duty roster of providers, and reasons for blood transfusion, a 24 minute reduction in the time was observed between the identified need for blood and transfusion (P<0.001).

CONCLUSION

BIMA was effective in reducing delays in blood transfusion for emergency obstetric patients. This pilot study suggests that implementing BIMA is one mechanism that has the potential to streamline blood transfusion systems in Bangladesh.

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.

Evaluation and implementation of QR Code Identity Tag system for Healthcare in Turkey

For this study, we designed a QR Code Identity Tag system to integrate into the Turkish healthcare system. This system provides QR code-based medical identification alerts and an in-hospital patient identification system. Every member of the medical system is assigned a unique QR Code Tag; to facilitate medical identification alerts, the QR Code Identity Tag can be worn as a bracelet or necklace or carried as an ID card. Patients must always possess the QR Code Identity bracelets within hospital grounds. These QR code bracelets link to the QR Code Identity website, where detailed information is stored; a smartphone or standalone QR code scanner can be used to scan the code. The design of this system allows authorized personnel (e.g., paramedics, firefighters, or police) to access more detailed patient information than the average smartphone user: emergency service professionals are authorized to access patient medical histories to improve the accuracy of medical treatment. In Istanbul, we tested the self-designed system with 174 participants. To analyze the QR Code Identity Tag system’s usability, the participants completed the System Usability Scale questionnaire after using the system.

Recommendations for Using Barcode in Hospital Process

Background:

Lack of attention to the proper barcode using leads to lack of use or misuse in the hospitals. The present research aimed to investigate the requirements and barrier for using barcode technology and presenting suggestions to use it.

Methods:

The research is observational-descriptive. The data was collected using the designed checklist which its validity was assessed. This check list consists of two parts: “Requirements” and “barrier” of using the barcodes. Research community included 10 teaching hospitals and a class of 65 participants included people in the hospitals. The collected data was analyzed using descriptive statistics.

Results:

Required changes of workflow processes in the hospital and compliance them with the hospital policy are such requirements that had been infringed in the 90 % of hospitals. Prioritization of some hospital processes for barcoding, system integration with Hospital Information system (HIS), training of staff and budgeting are requirements for the successful implementation which had been infringed in the 80% of hospitals. Dissatisfaction with the quality of barcode labels and lacks of adequate scanners both whit the rate of 100 %, and the lack of understanding of the necessary requirements for implementation of barcodes as 80% were the most important barrier.

Conclusion:

Integrate bar code system with clinical workflow should be considered. Lack of knowledge and understanding toward the infrastructure, inadequate staff training and technologic problems are considered as the greatest barriers.

A safe practice standard for barcode technology

OBJECTIVE

Safety advocates have identified barcode verification technology as an important tool to improve health-care practices.

METHODS

We evaluated the evidence for the role of barcode technology in improving a wide range of medication safety outcomes across a broad range of settings. Important implementation issues were highlighted to guide standards for the safe adoption of barcode technology.

RESULTS

Adverse drug events are common, occurring frequently in both inpatient and outpatient settings. Although approximately half of all preventable adverse drug events in inpatients result from medication errors arising from transcription, dispensing, and administration, these errors are far less likely to be caught than in any of the earlier stages of the medication use process and are therefore most amenable to improvement. When integrated with electronic medication administration records, barcode systems are associated with complete elimination of transcription errors. Furthermore, barcode-assisted dispensing systems are associated with 93% to 96% reductions in dispensing errors, and 85% reductions in potential adverse drug events in dispensing. Most studies have reported large and significant reductions in administration errors by up to 80% after implementation of barcode medication administration systems. Although most studies of barcode technology have been conducted in the adult inpatient setting, the limited data available also support their benefit in pediatric and outpatient settings.

CONCLUSIONS

There is growing evidence for the efficacy of barcode solutions in improving overall medication safety. Standards for the implementation of barcode technology are proposed.

An experience of the introduction of a blood bank automation system (Ortho AutoVue Innova) in a regional acute hospital

This paper reports on an evaluation of the introduction of a blood bank automation system (Ortho AutoVue(®) Innova) in a hospital blood bank by considering the performance and workflow as compared with manual methods. The turnaround time was found to be 45% faster than the manual method. The concordance rate was found to be 100% for both ABO/Rh(D) typing and antibody screening in both of the systems and there was no significant difference in detection sensitivity for clinically significant antibodies. The Ortho AutoVue(®) Innova automated blood banking system streamlined the routine pre-transfusion testing in hospital blood bank with high throughput, equivalent sensitivity and reliability as compared with conventional manual method.

The evolution of perioperative transfusion testing and blood ordering

The evolution of modern anesthesia and surgical practices has been accompanied by enhanced supportive procedures in blood banking and transfusion medicine. There is increased focus on the preparation and the use of blood components including, but not limited to, preventing unnecessary type and screen/crossmatch orders, decreasing the time required to provide compatible red blood cells (RBCs), and reducing the waste of limited blood and personnel resources. The aim of this review is to help the anesthesiologist and surgical staff identify patients at highest risk for surgical bleeding. In addition, this review examines how anesthesia and transfusion medicine can efficiently and safely allocate blood components for surgical patients who require transfusions. The following databases were searched: PubMed, EMBASE, Google Scholar, and the Cochrane Library from January 1970 through March 2014. Subsequent reference searches of retrieved articles were also assessed. Several innovations have drastically changed the procedures by which blood is ordered, inventoried, and the speed in which blood is delivered for patient care. Before entering an operating room, patient blood management provides guidance to clinicians about when and how to treat preoperative anemia and intra- and postoperative strategies to limit the patient's exposure to blood components. Timely updates of the recommendations for blood orders (maximum surgical blood ordering schedule) have enhanced preoperative decision making regarding the appropriateness of the type and screen versus the type and crossmatch order. The updated maximum surgical blood ordering schedule reflects modern practices, such as laparoscopy, improved surgical techniques, and use of hemostatic agents resulting in a more streamlined process for ordering and obtaining RBCs. The electronic (computer) crossmatch and electronic remote blood issue have also dramatically reduced the amount of time required to obtain crossmatch-compatible RBCs when compared with the more traditional serologic crossmatch methods. These changes in blood banking methods have resulted in more efficient delivery of blood to surgical patients.

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.

Using advanced mobile devices in nursing practice – the views of nurses and nursing students

Advanced mobile devices allow registered nurses and nursing students to keep up-to-date with expanding health-related knowledge but are rarely used in nursing in Sweden. This study aims at describing registered nurses’ and nursing students’ views regarding the use of advanced mobile devices in nursing practice. A cross-sectional study was completed in 2012; a total of 398 participants replied to a questionnaire, and descriptive statistics were applied. Results showed that the majority of the participants regarded an advanced mobile device to be useful, giving access to necessary information and also being useful in making notes, planning their work and saving time. Furthermore, the advanced mobile device was regarded to improve patient safety and the quality of care and to increase confidence. In order to continuously improve the safety and quality of health care, advanced mobile devices adjusted for nursing practice should be further developed, implemented and evaluated in research.

Interventions to reduce wrong blood in tube errors in transfusion: a systematic review

This systematic review addresses the issue of wrong blood in tube (WBIT). The objective was to identify interventions that have been implemented and the effectiveness of these interventions to reduce WBIT incidence in red blood cell transfusion. Eligible articles were identified through a comprehensive search of The Cochrane Library, MEDLINE, EMBASE, Cinahl, BNID, and the Transfusion Evidence Library to April 2013. Initial search criteria were wide including primary intervention or observational studies, case reports, expert opinion, and guidelines. There was no restriction by study type, language, or status. Publications before 1995, reviews or reports of a secondary nature, studies of sampling errors outwith transfusion, and articles involving animals were excluded. The primary outcome was a reduction in errors. Study characteristics, outcomes measured, and methodological quality were extracted by 2 authors independently. The principal method of analysis was descriptive. A total of 12,703 references were initially identified. Preliminary secondary screening by 2 reviewers reduced articles for detailed screening to 128 articles. Eleven articles were eventually identified as eligible, resulting in 9 independent studies being included in the review. The overall finding was that all the identified interventions reduced WBIT incidence. Five studies measured the effect of a single intervention, for example, changes to blood sample labeling, weekly feedback, handwritten transfusion requests, and an electronic transfusion system. Four studies reported multiple interventions including education, second check of ID at sampling, and confirmatory sampling. It was not clear which intervention was the most effective. Sustainability of the effectiveness of interventions was also unclear. Targeted interventions, either single or multiple, can lead to a reduction in WBIT; but the sustainability of effectiveness is uncertain. Data on the pre- and postimplementation of interventions need to be collected in future trials to demonstrate effectiveness, and comparative studies are needed of different interventions.

Piloting the use of 2D barcode and patient safety-software in an Australian tertiary hospital setting

OBJECTIVES

Errors in administration of blood products can lead to poor patient outcomes including fatal ABO incompatible transfusions. This pilot study sought to establish whether the use of two-dimensional (2D) barcode technology combined with patient identification software designed to assist in blood administration improves the bedside administration of transfusions in an Australian tertiary hospital.

STUDY DESIGN AND METHODS

The study was conducted in a Haematology/Oncology Day Clinic of a major metropolitan hospital, to evaluate the use of 2D barcode technology and patient safety-software and hand-held PDAs to assist nursing staff in patient identification and blood administration. Comparative audits were conducted before and after the technology's implementation.

RESULTS

The preimplementation transfusion practice audits demonstrated a poor understanding of the blood checking process, with focus on the product rather than patient identification. Following the implementation of 2D barcode technology and patient safety-software, there was significant improvement in administration practice. Positive, verbal patient identification improved from 57% (51/90) to 94% (75/80). Similarly, the cross-referencing of the patient's identification with the patient's wristband improved from 36% (32/90) to 94% (75/80), and the cross-referencing of patient ID on the compatibility tag to wristbands improved from 48% (43/90) to 99% (79/80). Importantly, the 2D barcode technology and patient safety-software saw 100% (80/80) of checks being conducted at the patient bedside, compared with 76% (68/90) in the preimplementation audits.

CONCLUSION

This pilot study demonstrates that 2D barcode technology and patient safety-software significantly improves the bedside check of patient and blood product identification in an Australian setting.

Effectiveness of barcoding for reducing patient specimen and laboratory testing identification errors: a Laboratory Medicine Best Practices systematic review and meta-analysis

OBJECTIVES

This is the first systematic review of the effectiveness of barcoding practices for reducing patient specimen and laboratory testing identification errors.

DESIGN AND METHODS

The CDC-funded Laboratory Medicine Best Practices Initiative systematic review methods for quality improvement practices were used.

RESULTS

A total of 17 observational studies reporting on barcoding systems are included in the body of evidence; 10 for patient specimens and 7 for point-of-care testing. All 17 studies favored barcoding, with meta-analysis mean odds ratios for barcoding systems of 4.39 (95% CI: 3.05-6.32) and for point-of-care testing of 5.93 (95% CI: 5.28-6.67).

CONCLUSIONS

Barcoding is effective for reducing patient specimen and laboratory testing identification errors in diverse hospital settings and is recommended as an evidence-based "best practice." The overall strength of evidence rating is high and the effect size rating is substantial. Unpublished studies made an important contribution comprising almost half of the body of evidence.

Challenges and opportunities to prevent transfusion errors: a Qualitative Evaluation for Safer Transfusion (QUEST)

BACKGROUND

One of the most frequent causes of transfusion-associated morbidity or mortality is the transfusion of the wrong blood to the wrong patient. This problem persists in spite of the incorporation of numerous procedures into the pretransfusion checking process in an effort to improve patient safety. A qualitative study was undertaken to understand this process from the perspective of those who administer blood products and to identify concerns and suggestions to improve safety.

STUDY DESIGN AND METHODS

Twelve focus group discussions and seven individual interviews were conducted at six hospitals in five countries (n = 72 individuals). Health care professionals from a variety of clinical areas participated. Data analysis identified common themes using the constant comparison method.

RESULTS

Five major themes emerged from the analysis: the pretransfusion checking process, training, policy, error, and monitoring. Findings include the following: staff were aware and appreciative of the seriousness of errors and were receptive to continuous monitoring, the focus was on checking the bag label with the paperwork rather than the bag label with the patient at the bedside, training methods varied with most perceived to have minimal effectiveness, and access to policies was challenging and keeping up to date was difficult. Other factors that could contribute to errors included high volume of workload distractions and interruptions and familiarity or lack of familiarity with patients.

CONCLUSIONS

Multiple factors can contribute to errors during the pretransfusion checking limiting the effectiveness of any individual intervention designed to improve safety. Areas of further research to improve safety of blood administration were identified.

Identification errors in the blood transfusion laboratory: a still relevant issue for patient safety

Remarkable technological advances and increased awareness have both contributed to decrease substantially the uncertainty of the analytical phase, so that the manually intensive preanalytical activities currently represent the leading sources of errors in laboratory and transfusion medicine. Among preanalytical errors, misidentification and mistransfusion are still regarded as a considerable problem, posing serious risks for patient health and carrying huge expenses for the healthcare system. As such, a reliable policy of risk management should be readily implemented, developing through a multifaceted approach to prevent or limit the adverse outcomes related to transfusion reactions from blood incompatibility. This strategy encompasses root cause analysis, compliance with accreditation requirements, strict adherence to standard operating procedures, guidelines and recommendations for specimen collection, use of positive identification devices, rejection of potentially misidentified specimens, informatics data entry, query host communication, automated systems for patient identification and sample labeling and an adequate and safe environment.

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.

A network collaboration implementing technology to improve medication dispensing and administration in critical access hospitals

We report how seven independent critical access hospitals collaborated with a rural referral hospital to standardize workflow policies and procedures while jointly implementing the same health information technologies (HITs) to enhance medication care processes. The study hospitals implemented the same electronic health record, computerized provider order entry, pharmacy information systems, automated dispensing cabinets (ADC), and barcode medication administration systems. We conducted interviews and examined project documents to explore factors underlying the successful implementation of ADC and barcode medication administration across the network hospitals. These included a shared culture of collaboration; strategic sequencing of HIT component implementation; interface among HIT components; strategic placement of ADCs; disciplined use and sharing of workflow analyses linked with HIT applications; planning for workflow efficiencies; acquisition of adequate supply of HIT-related devices; and establishing metrics to monitor HIT use and outcomes.

Patient Misidentifications Caused by Errors in Standard Bar Code Technology

BACKGROUND

Bar code technology has decreased transcription errors in many healthcare applications. However, we have found that linear bar code identification methods are not failsafe. In this study, we sought to identify the sources of bar code decoding errors that generated incorrect patient identifiers when bar codes were scanned for point-of-care glucose testing and to develop solutions to prevent their occurrence.

METHODS

We identified misread wristband bar codes, removed them from service, and rescanned them by using 5 different scanner models. Bar codes were reprinted in pristine condition for use as controls. We determined error rates for each bar code–scanner pair and manually calculated internal bar code data integrity checks.

RESULTS

As many as 3 incorrect patient identifiers were generated from a single bar code. Minor bar code imperfections, failure to control for bar code scanner resolution requirements, and less than optimal printed bar code orientation were confirmed as sources of these errors. Of the scanner models tested, the Roche ACCU-CHEK® glucometer had the highest error rate. The internal data integrity check system did not detect these errors.

CONCLUSIONS

Bar code–related patient misidentifications can occur. In the worst case, misidentified patient results could have been transmitted to the incorrect patient medical record. This report has profound implications not only for point-of-care testing but also for bar coded medication administration, transfusion recipient certification systems, and other areas where patient misidentifications can be life-threatening. Careful control of bar code scanning and printing equipment specifications will minimize this threat to patient safety. Ultimately, healthcare device manufacturers should adopt more robust and higher fidelity alternatives to linear bar code symbologies.

Reduction in specimen labeling errors after implementation of a positive patient identification system in phlebotomy

Ensuring accurate patient identification is central to preventing medical errors, but it can be challenging. We implemented a bar code-based positive patient identification system for use in inpatient phlebotomy. A before-after design was used to evaluate the impact of the identification system on the frequency of mislabeled and unlabeled samples reported in our laboratory. Labeling errors fell from 5.45 in 10,000 before implementation to 3.2 in 10,000 afterward (P = .0013). An estimated 108 mislabeling events were prevented by the identification system in 1 year. Furthermore, a workflow step requiring manual preprinting of labels, which was accompanied by potential labeling errors in about one quarter of blood "draws," was removed as a result of the new system. After implementation, a higher percentage of patients reported having their wristband checked before phlebotomy. Bar code technology significantly reduced the rate of specimen identification errors.

Blood still kills: six strategies to further reduce allogeneic blood transfusion-related mortality

After reviewing the relative frequency of the causes of allogeneic blood transfusion-related mortality in the United States today, we present 6 possible strategies for further reducing such transfusion-related mortality. These are (1) avoidance of unnecessary transfusions through the use of evidence-based transfusion guidelines, to reduce potentially fatal (infectious as well as noninfectious) transfusion complications; (2) reduction in the risk of transfusion-related acute lung injury in recipients of platelet transfusions through the use of single-donor platelets collected from male donors, or female donors without a history of pregnancy or who have been shown not to have white blood cell (WBC) antibodies; (3) prevention of hemolytic transfusion reactions through the augmentation of patient identification procedures by the addition of information technologies, as well as through the prevention of additional red blood cell alloantibody formation in patients who are likely to need multiple transfusions in the future; (4) avoidance of pooled blood products (such as pooled whole blood-derived platelets) to reduce the risk of transmission of emerging transfusion-transmitted infections (TTIs) and the residual risk from known TTIs (especially transfusion-associated sepsis [TAS]); (5) WBC reduction of cellular blood components administered in cardiac surgery to prevent the poorly understood increased mortality seen in cardiac surgery patients in association with the receipt of non-WBC-reduced (compared with WBC-reduced) transfusion; and (6) pathogen reduction of platelet and plasma components to prevent the transfusion transmission of most emerging, potentially fatal TTIs and the residual risk of known TTIs (especially TAS).

Personal digital assistant with a barcode reader--a medical decision support system for nurses in home care

INTRODUCTION

Inappropriate medication among elderly people increases the risk of adverse drug-drug interactions, drug-related falls and hospital admissions. In order to prevent these effects it is necessary to obtain a profile of the patients' medication. A personal digital assistant (PDA) can be used as a medical decision support system (MDSS) to obtain a profile of the patients' medication and to check for inappropriate drugs and drug combinations, and to reduce medication errors.

AIM

The aim of the present study was to evaluate nurses' experiences of using a MDSS in a PDA with a barcode reader, in order to obtain profiles of the patients' medication, regarding drug-drug interactions, therapeutic duplications, and warnings for drugs unsuitable for elderly in home care.

METHODS

The LIFe-reader is a MDSS in a PDA with a barcode reader. By scanning the drug packages in the patients' home, the LIFe-reader obtained profiles of the patients' medication and checked for drug-drug interactions, therapeutic duplications and warnings for drugs unsuitable for elderly people. The LIFe-reader also contained, e.g. drug information and medical reference works. Nurses (n=15) used the LIFe-reader for five weeks during their nursing home care practice assignment. The nurses answered questionnaires about the content and functions of the LIFe-reader before, during and after the nursing home care practice assignment, and were interviewed in focus groups. Descriptive statistics were used and content analysis was applied for qualitative data.

RESULTS

By using the LIFe-reader, the majority of the nurses found it easy to obtain profiles of the patients' medication and check for drug-drug interactions, therapeutic duplications and warnings for drugs unsuitable for elderly people. Most nurses regarded the LIFe-reader to reduce drug-related risks of falling, and some thought it could reduce the drug-related admissions to hospitals. The scanning function was described as easy and time saving, although not always possible to use. The LIFe-reader was regarded as a useful and user-friendly MDSS, but more content and functions were requested.

CONCLUSIONS

We found that the LIFe-reader has the potential to be a useful and user-friendly MDSS for nurses in home care when obtaining profiles of the patients' medication regarding drug-drug interactions, therapeutic duplications and warnings for drugs unsuitable for elderly. A regular scanning of the patients' drugs in their home might support nurses and general practitioners (GPs) in reducing the inappropriate use of drugs. If the LIFe-reader should be used in a larger scale among nurses, more content and functions are necessary.