Clean the skin: Reducing blood culture contamination in the emergency department.

OBJECTIVE: To determine whether blood culture contamination (BCC) rates could be decreased in the ED by an educational programme. METHODS: Educational intervention focusing on a 1-min venepuncture cleaning time and providing a larger chlorhexidine alcohol swab. BCC rates were examined retrospectively 12-month pre-, and 9-month post-intervention. RESULTS: Six thousand nine hundred and fifty-three blood cultures were collected over the study period. The BCC rate was 2.4% pre-intervention versus 1.8% post-intervention, with no significant difference in BCC rates (Z-score = 1.862, P = 0.063). CONCLUSION: This educational intervention focusing on skin clean time did not significantly decrease BCC rates in a setting of an already low (<3%) BCC rate.

Haemodialysis for lithium poisoning: Translating EXTRIP recommendations into practical guidelines.

OBJECTIVES: This study aimed to determine the impact on practice of applying the Extracorporeal Treatments in Poisoning (EXTRIP) Workgroup criteria to lithium toxicity. METHOD: We retrospectively examined the medical records of patients from three hospitals who presented with chronic or acute on chronic lithium poisoning with a lithium concentration ≥1.3 mmol/L (2008-2018). We determined which criteria were met by patients and their subsequent course. We developed and validated a method to predict if lithium concentration would be >1mmol/L at 36 hours. RESULTS: There were 111 acute on chronic and 250 chronic lithium toxic patients. Nine patients (2.5%) were treated with haemodialysis. Six chronic patients had neurological sequelae. The "estimated lithium concentration at 36 hours > 1 mmol/L" criterion required pharmacokinetic calculations. A simple nomogram was developed using Estimated Glomerular Filtration Rate (eGFR) and lithium concentration. For chronic toxicity, the nomogram would have correctly predicted lithium concentration >1.4 mmol/L at 36 hours in all except two patients. If EXTRIP criteria were followed, dialysis would have been instituted for 211 patients (58%). However, only 51 patients with chronic toxicity fulfilled both a concentration and a clinical criterion. Late neurological sequelae were observed in five out of six patients who fulfilled a concentration and a clinical criterion on admission, with the sixth meeting these criteria shortly after admission. CONCLUSIONS: The EXTRIP criteria are too broad, but minor modifications allow haemodialysis to be targeted to those most at risk of sequelae. Most acute on chronic poisonings do not need haemodialysis, but it might shorten hospital stay in those with very high concentrations. The nomogram accurately predicts the fall in lithium concentration for chronic poisoning.

Seasonal and temperature effect on serum lithium concentrations.

BACKGROUND: Lithium remains the gold standard treatment for bipolar disorder. However, it has a very narrow therapeutic index (0.6-0.8 mmol/L). It has been suggested that high environmental temperature can lead to dehydration, elevated plasma lithium concentration and then lithium toxicity. OBJECTIVES: We aimed to investigate the effect of seasonal and short-term changes in temperature on serum lithium concentrations in Sydney, Australia. METHODS: We retrospectively analysed data from all patients who had serum lithium concentrations taken from the Prince of Wales and Sutherland Hospitals between 2008 and 2018. Temperature data came from the Bureau of Meteorology. We examined correlations between lithium concentrations and the preceding 5 days maximum temperatures, month and season. We also performed a longitudinal analysis of the effect of temperature and seasons within selected patients who had repeated levels. RESULTS: A total of 11,912 serum lithium concentrations from 2493 patients were analysed. There was no significant association between higher lithium concentration and preceding higher temperatures (r = -0.008, p = 0.399). There was also no important seasonal or monthly variation, across all patients or in the smaller cohort with longitudinal data (n = 123, r = 0.008, 95% confidence interval: [-0.04, 0.06]). CONCLUSION: There were no clinically important differences in serum lithium concentration related to seasons, months or temperatures, which suggests that patients on lithium are able to adequately maintain hydration during hot weather in Sydney.

Who Gets a Laboratory Test in Hospital, Why, and How Often? A Retrospective Observational Study of 4 Australian Hospitals.

BACKGROUND: Laboratory providers are challenged with the need to deliver improvements in the efficiency and effectiveness of laboratory services. Initiatives have been set to reduce the inappropriate use of tests; however, empirical evidence about the rate and frequency of laboratory tests in hospitals has not been widely available. This study used data linkage techniques to investigate laboratory test use among Australian inpatients. METHODS: A retrospective observational study was conducted across 3 metropolitan and 1 rural hospital, all serviced by a single laboratory provider. Data for all admitted inpatients between January 2008 and December 2013 were extracted and linked to determine the proportion of admissions with a laboratory test, number of tests per admission, and time to first test. RESULTS: This study included 521480 admissions. Of these, 83.7% had a pathology test. Newborns and neonates had the lowest percentage of admissions with tests (35.2%), whereas admissions for diseases and disorders of the hepatobiliary system and pancreas had the highest (97.5%). Patients had a median of 12 tests per admission. Patients 80-84 years of age had the highest rate of tests per admission (median, 19; interquartile range, 9-36). Forty-nine percent of patients' first tests occurred within 2 h of admission, increasing to 69.9% within 4 h. CONCLUSION: The vast majority of patients admitted to hospital received laboratory tests. Higher laboratory testing rates were observed with increasing age. These findings can be used to define and compare laboratory testing among inpatients and help identify sources of variation in laboratory testing.

Laboratory Test Utilization and Repeat Testing for Inpatients of Age 80 and Over in Australia: A Retrospective Observational Study.

INTRODUCTION: Repeat laboratory testing is often necessary in hospitals. However, frequent blood draws can be harmful to older patients. The objective of this study was to identify the most frequently ordered laboratory tests and repeat testing rates for these tests among older inpatients. METHODS: A retrospective observational study of inpatients of age 80 years and over in 4 public hospitals in New South Wales, Australia, was conducted between 2008 and 2013. Proportions of laboratory tests and proportions of repeated tests among the most frequently used tests were reported. RESULTS: There were 42739 patients with 108003 admissions (56.2% women; 43.2% of ages 80-84). Of these admissions, 95.9% had a laboratory test, with 3012577 tests recorded. Five tests accounted for 62% of all tests and were present in 98.5% of admissions: electrolytes urea and creatinine (EUC; 18% of all tests ordered), complete blood count (CBC; 16.7%), calcium magnesium phosphate (CaMgPhos; 10.2%), liver function test (LFT; 9.0%), and C-reactive protein (CRP; 8.0%). Proportions of repeat tests for this group performed outside recommended minimum repeat intervals were 10.3% EUC, 8.9% CBC, 41.5% CRP, 68.2% CaMgPhos, and 65.2% LFT tests. An exponential increase in repeat testing for all 5 tests was observed around 24 h after a previous test. CONCLUSION: Compliance with guidelines on repeat testing intervals among older patients is variable. A better understanding of the underlying reasons for repeat testing would allow targeting of interventions, including decision support, to improve laboratory use for older inpatients.

Retrospective evaluation of repeated supratherapeutic ingestion (RSTI) of paracetamol †.

Background: Repeated supratherapeutic ingestion (RSTI) of paracetamol can result in acute liver injury. Management guidelines vary worldwide and in Australia, acetylcysteine treatment is recommended in patients with a paracetamol concentration ≥20 mg/L and/or alanine transaminase (ALT) ≥50 U/L. Objectives: To investigate patients with RSTI of paracetamol and determine whether admission ALT <50 U/L rules out those who develop hepatotoxicity (ALT >1000 U/L). Method: Retrospective review of paracetamol RSTI presentations to two toxicology services over a four-year period. Patients were included if they ingested >4 g per 24 h of paracetamol for a period >8 h, regardless of intent. Data collected included demographics, ingestion history, pathology results, treatments and outcomes. Results: 266 patients were identified with median ingested dose of 9 g per 24 h (IQR: 6-12 g) over a median of 2 days (IQR: 1-5 days). On presentation, paracetamol was detected in 192 (72%), with median concentration of 14 mg/L (IQR: 7-27 mg/L). Median ALT on admission in those developing hepatotoxicity was significantly higher, 1182 U/L (IQR: 598-4251 U/L), compared to 30 U/L (IQR: 18-59 U/L; p < .0001) in those who did not. All 17 who developed hepatotoxicity had an ALT ≥50 U/L on presentation. Five patients presenting with an ALT <50 U/L developed a peak ALT between 50 and 1000 U/L, of which three had a paracetamol concentration <20 mg/L. 139 (52%) received acetylcysteine, of which 64 received an abbreviated course (<20 h), with a median length of infusion of 11 h (IQR: 7-14 h). 127 (48%) patients were not treated with acetylcysteine, none of these patients returned to hospital. Conclusions: Our results confirm that those developing hepatotoxicity from RSTI of paracetamol have an elevated ALT on presentation. Presenting ALT <50 U/L appears to be a safe threshold not to administer acetylcysteine, provided the paracetamol concentration is low.

Comparison of Wells and YEARS clinical decision rules with D-dimer for low-risk pulmonary embolus patients.

BACKGROUND: Assessment of pulmonary embolism (PE) remains a diagnostic and investigative burden to emergency departments. The decision of which D-dimer cut-off to use in low-risk patients remains controversial. AIMS: To compare the sensitivity and specificity of varying D-dimer cut-offs in the diagnosis of PE for Wells low-risk patients. METHODS: Retrospective review of patients presenting to a tertiary emergency department over 42 months who had a D-dimer performed for PE risk stratification. Wells scores were calculated for each patient, those with Wells score of ≤4 ('PE unlikely') were analysed. Four D-dimer thresholds were compared, including traditional threshold (≥0.5 µg/mL), age-adjusted (≥age in years × 0.01 µg/mL), doubled-traditional threshold and YEARS criteria. RESULTS: During the study period, 2291 D-dimers were ordered for suspected PE, of which 2125 were low risk for PE. Of these low-risk patients 46 (2.2%) were found to have a PE. The sensitivity and specificity for each D-dimer threshold were traditional threshold (95.6% and 65.6%), age-adjusted (93.5% and 71.7%), doubled traditional (69.6% and 85.5%) and YEARS criteria (80.4% and 84.0%). Utilising an age-adjusted threshold, YEARS criteria or doubled-traditional threshold would have resulted in 70, 217 and 245 fewer imaging investigations. CONCLUSIONS: The prevalence of PE in this low-risk cohort was very low. Utilising an age-adjusted D-dimer would have reduced imaging tests performed while maintaining good sensitivity. Although The YEARS criteria and doubled-traditional threshold would have reduced scanning considerably both had sensitivities of less than 90%.

Pending Laboratory Test Results at the Time of Discharge: A 3-Year Retrospective Comparison of Paper Versus Electronic Test Ordering in Three Emergency Departments.

Pending laboratory test results at discharge can have major adverse health outcomes. The availability of test results at discharge may depend on whether the tests were ordered electronically or by using a paper-based system. The aim of this study was to determine the rate of pending test results at time of discharge from Emergency Departments (ED), and compare the rate for paper-based and electronic orders across three EDs in New South Wales, Australia. This retrospective study described 71,466 ED presentations with 357,476 laboratory tests across three years (2014-2016). Only patients who were treated in ED and eventually discharged from ED were included. Most tests were ordered using the electronic system (97.2%, n=347,469). The rate of pending test results was significantly lower for electronic orders (6.6%, n=22,928) than for paper orders (9.7%, n=966): a difference of 3.1%. Similar differences were observed when analysis was done by year of ED presentation. Moreover, in a subgroup analysis that included the top five high volume tests, four of the five tests had significantly lower rates of pending test results for electronic orders than for paper-based orders. The study highlighted an important benefit of ordering tests via electronic system which can potentially improve patient outcomes.

Making sense of a haemolysis monitoring and reporting system: a nationwide longitudinal multimethod study of 68 Australian laboratory participant organisations.

BACKGROUND: The key incident monitoring and management systems (KIMMS) quality assurance program monitors incidents in the pre- and postanalytical phases of testing in medical laboratories. Haemolysed specimens have been found to be the most frequent preanalytical error and have major implications for patient care. The aims of this study were to assess the suitability of KIMMS for quality reporting of haemolysis and to devise a meaningful method for reporting and monitoring haemolysis. METHODS: A structured survey of 68 Australian KIMMS laboratory participant organisations was undertaken. Quarterly haemolysis reports (2011-2014) were analysed. RESULTS: Among 110 million accessions reported, haemolysis rates varied according to the reporting methods that participants used for assigning accessions (16% of participants reported haemolysis by specimen and 83% reported by episode) and counting haemolysis rejections (61% by specimen, 35% by episode and 3% by test). More than half of the participants (56%) assigned accessions by episode and counted rejections by specimen. For this group, the average haemolysis rate per 100,000 episodes was 177 rejected specimens with the average rate varying from 100 to 233 over time. The majority of participants (91%) determined rejections using the haemolysis index. Two thirds of participants (66%) recorded the haemolysis manually in laboratory information systems. CONCLUSIONS: KIMMS maintains the largest longitudinal haemolysis database in the world. However, as a means of advancing improvements in the quality of the preanalytical laboratory process, there is a need to standardise reporting methods to enable robust comparison of haemolysis rejection rates across participant laboratories.

Key factors influencing the incidence of hemolysis: A critical appraisal of current evidence.

Hemolysis is a leading cause of pre-analytical laboratory errors. The identification of contributing factors is an important step towards the development of effective practices to reduce and prevent hemolysis. We performed a review of PUBMED, Embase, Medline and CINAHL to identify articles published between January 2000 and August 2016 that identified factors influencing in vitro hemolysis rates. The 40 studies included in this review provide excellent evidence that hemolysis rates are higher in Emergency Departments (EDs), for non-antecubital draws, for specimens drawn using an intravenous catheter compared to venipuncture and for samples transported by pneumatic tube compared to by hand. There is also good evidence that hemolysis rates are higher when specimens are not collected by professional phlebotomists, larger volume specimen tubes are used, specimen tubes are filled less than halfway and tourniquet time is greater than one minute. The results of this review suggest that hospitals and clinical laboratories should consider deploying phlebotomists in EDs, drawing all blood through a venipuncture, using the antecubital region as the optimum blood collection site and transporting specimens by laboratory assistant/other personnel, or if this in not practical, ensuring that pneumatic transport systems are validated, maintained and monitored. Studies also recommend making hemolysis a hospital-wide issue and ensuring high-quality staff training and adherence to standard operating procedures to reduce hemolysis rates. Awareness of the factors that influence hemolysis rates, and adoption of strategies to mitigate these risk factors, is an important step towards creating quality practices to reduce hemolysis rates and improve the quality of patient care.

The basis of clinical tribalism, hierarchy and stereotyping: a laboratory-controlled teamwork experiment.

OBJECTIVES: To examine the basis of multidisciplinary teamwork. In real-world healthcare settings, clinicians often cluster in profession-based tribal silos, form hierarchies and exhibit stereotypical behaviours. It is not clear whether these social structures are more a product of inherent characteristics of the individuals or groups comprising the professions, or attributable to a greater extent to workplace factors. SETTING: Controlled laboratory environment with well-appointed, quiet rooms and video and audio equipment. PARTICIPANTS: Clinical professionals (n=133) divided into 35 groups of doctors, nurses and allied health professions, or mixed professions. INTERVENTIONS: Participants engaged in one of three team tasks, and their performance was video-recorded and assessed. PRIMARY AND SECONDARY MEASURES: Primary: teamwork performance. Secondary, pre-experimental: a bank of personality questionnaires designed to assess participants' individual differences. Postexperimental: the 16-item Mayo High Performance Teamwork Scale (MHPTS) to measure teamwork skills; this was self-assessed by participants and also by external raters. In addition, external, arm's length blinded observations of the videotapes were conducted. RESULTS: At baseline, there were few significant differences between the professions in collective orientation, most of the personality factors, Machiavellianism and conservatism. Teams generally functioned well, with effective relationships, and exhibited little by way of discernible tribal or hierarchical behaviours, and no obvious differences between groups (F (3, 31)=0.94, p=0.43). CONCLUSIONS: Once clinicians are taken out of the workplace and put in controlled settings, tribalism, hierarchical and stereotype behaviours largely dissolve. It is unwise therefore to attribute these factors to fundamental sociological or psychological differences between individuals in the professions, or aggregated group differences. Workplace cultures are more likely to be influential in shaping such behaviours. The results underscore the importance of culture and context in improvement activities. Future initiatives should factor in culture and context as well as individuals' or professions' characteristics as the basis for inducing more lateral teamwork or better interprofessional collaboration.

Integrating the Radiology Information System with Computerised Provider Order Entry: The Impact on Repeat Medical Imaging Investigations.

Repeat and redundant procedures in medical imaging are associated with increases in resource utilisation and labour costs. Unnecessary medical imaging in some modalities, such as X-Ray (XR) and Computed Tomography (CT) is an important safety issue because it exposes patients to ionising radiation which can be carcinogenic and is associated with higher rates of cancer. The aim of this study was to assess the impact of implementing an integrated Computerised Provider Order Entry (CPOE)/Radiology Information System (RIS)/Picture Archiving and Communications System (PACS) system on the number of XR and CT imaging procedures (including repeat imaging requests) for inpatients at a large metropolitan hospital. The study found that patients had an average 0.47 fewer XR procedures and 0.07 fewer CT procedures after the implementation of the integrated system. Part of this reduction was driven by a lower rate of repeat procedures: the average inpatient had 0.13 fewer repeat XR procedures within 24-hours of the previous identical XR procedure. A similar decrease was not evident for repeat CT procedures. Reduced utilisation of imaging procedures (especially those within very short intervals from the previous identical procedure, which are more likely to be redundant) has implications for the safety of patients and the cost of medical imaging services.

Current Methods of Haemolysis Detection and Reporting as a Source of Risk to Patient Safety: a Narrative Review.

AIM: Haemolysis has a major impact on patient safety as the need for a replacement specimen increases the risk of injury and infection, delays test results and extends the duration of hospital stays. Consistency of haemolysis detection and reporting can facilitate the generation of benchmark data used to develop quality practices to monitor and reduce this leading cause of pre-analytical laboratory error. This review aims to investigate current methods of haemolysis detection and reporting. METHOD: Due to known heterogeneity and immaturity of the research field, a scoping search was conducted using PUBMED, Embase, Medline and CINAHL. Articles published between 2000 and 2014 that reported haemolysis rates in specimens from the general population were included. RESULTS: Of the 50 studies that met the inclusion criteria, 20 detected haemolysis using the Haemolysis Index (HI), 19 by visual inspection and 13 by undefined methods. There was large intra-study variation in the plasma free haemoglobin level used to establish haemolysis (HI: mean±SD 846±795 mg/L, range 150-3000 mg/L; Visual: 850±436 mg/L, 500-3000 mg/L). Sixteen studies reported the analyte of interest, with only three studies reporting a haemoglobin level at which the specimen would be rejected. CONCLUSION: Despite haemolysis being a frequent and costly problem with a negative impact on patient care, there is poor consistency in haemolysis detection and reporting between studies. Improved consistency would facilitate the generation of benchmark data used to create quality practices to monitor and reduce this leading cause of pre-analytical laboratory error.

Data quality associated with handwritten laboratory test requests: classification and frequency of data-entry errors for outpatient serology tests.

OBJECTIVE: Manual data-entry of handwritten laboratory test requests into electronic information systems has implications for data accuracy. This study sought to identify the types and number of errors occurring for handwritten serology test requests received from outpatient clinics. METHODS: A 15-day audit at a serology laboratory in Sydney, Australia, compared the content of all transcribed serology outpatient test requests in the laboratory information system with the handwritten request form. RESULTS: One or more errors were detected in 67/627 (10.7%) audited requests (N=68 errors). Fifty-one of the errors (75.0%) were transcription errors: the wrong test was transcribed in 40/68 cases (58.8%)--ten of these occurred when the abbreviations 'HBsAb' and 'HBsAg' were confounded for one another--and transcribed requests were missing a test in 11/68 cases (16.2%). The remaining 17 non-transcription errors (25.0%) described request forms not signed by the ordering clinician, mislabelled specimens, and wrong tests due to computer algorithm errors. CONCLUSIONS: Manual data-entry of handwritten serology requests is an error-prone process. Electronic ordering has the potential to eliminate illegible handwriting and transcription errors, thus improving data accuracy in hospital information systems.

The Impact of an Electronic Medical Record on Repeat Laboratory Test Ordering Across Four Australian Hospitals.

In this study we examined the impact of an Electronic Medical Record (EMR) on repeat test rates (i.e., the same test ordered within a specified window of time) for a commonly ordered set of laboratory tests; Electrolytes, Urea, Creatinine [EUC], Full Blood Counts [FBC] and Liver Function Tests [LFT]. The results point to the potential that timely, evidence-based electronic decision support features can have on the efficiency and effectiveness of the pathology laboratory process and its contribution to quality patient care.

The effect of laboratory testing on emergency department length of stay: a multihospital longitudinal study applying a cross-classified random-effect modeling approach.

OBJECTIVES: The objective was to examine the relationship between laboratory testing (including test volume and turnaround time [TAT]) and emergency department (ED) length of stay (LOS), using linked patient-level data from four hospitals across 4 years. METHODS: This was a retrospective, multisite cohort study of patients presenting to any one of four EDs in New South Wales, Australia, during a 2-month period (August and September) in 2008, 2009, 2010, and 2011. Data from ED information systems were linked to laboratory test data. A cross-classified random-effect modeling approach was applied to identify factors affecting ED LOS, taking into account the correlation between patients' presentations at the same hospital and/or in the same calendar year. Number of test order episodes (tests ordered at one point in time during the ED stay) and TAT (time from laboratory order receipt to result available) were examined. RESULTS: As the number of test order episodes increased, so did the duration of patient ED LOS (p < 0.0001). For every five additional tests ordered per test order episode, the median ED LOS increased by 10 minutes (2.9%, p < 0.0001); each 30-minute increase in TAT was, on average, associated with a 5.1% (17 minutes; p < 0.0001) increase in ED LOS, after adjustment for other factors. Patients presenting to the ED at night (7 p.m. to 7 a.m.) had longer stays than those presenting during the daytime, although the median TATs at nights were shorter than those during the daytime. CONCLUSIONS: Laboratory testing has a direct effect on patients' LOS in ED. Laboratory TAT, number of testing episodes, and test volume influence ED LOS. Targeted increases of ED resources and staffing after-hours may also contribute to reductions in ED LOS.

Monitoring health IT integration--the effect of an EMR on laboratory service timeliness across six Australian hospitals.

The Electronic Medical Record (EMR) incorporates computerised provider order entry systems which allow clinicians to order diagnostic tests electronically, thus eliminating the need for cumbersome handwritten orders. In many situations the EMR relies on a manual transition of information across systems (e.g., integration with the Laboratory Information System). This study, based in a laboratory setting requiring such a transition across systems, aimed to compare the data entry time (from when a specimen arrives in the Central Specimen Reception [CSR] area of the laboratory, to when it is forwarded on for processing), along with a laboratory turnaround time (TAT) (from the time a specimen is received to the time a verified result is issued) for paper and EMR orders, for two high volume tests, across six hospitals. Results showed that the median data entry time for all hospitals combined, was three minutes shorter for EMR entered orders than paper orders. This difference was consistent and significant for Electrolytes, Urea, Creatinine (EUC) and Automated Differential (including full blood count) tests in 2010 and 2011. These decreases contributed to significantly lower median Laboratory TATs for EMR orders (for EUC tests the difference in medians was 12 minutes in 2010 and six minutes in 2011; for Automated Differential tests, the difference was four minutes in 2010 and two minutes in 2011).

What is the effect of electronic pathology ordering on test re-ordering patterns for paediatric patients?

Electronic ordering systems have the potential to enhance the efficient utilisation of pathology services. The aim of this study was to assess the effect of electronic pathology ordering on repeat test ordering for paediatric patients (ages 0 to 18 years) who were in intensive care units (ICUs) and non-ICU wards. The dataset described 85,728 pathology tests ordered for 5,073 children before and after the implementation of electronic ordering. This study showed that, for children in ICUs, the repeat test order rate was significantly lower for electronic orders than for paper-based orders. Similarly, the rate of repeat tests ordered within short intervals (up to 23-hours), for children older than one-year in non-ICU wards, was lower for electronic ordering than for paper ordering. The proportion of repeat tests occurring within one-hour of the previous test was consistently lower for tests ordered using electronic ordering than it was for tests ordered using the paper based system for patients older than one-year in all wards and for patients under one-year in ICUs. These results suggest that features of the electronic system, including alerts about previously ordered tests and the availability of information about previous orders, can help clinicians to identify and reduce unnecessary repeat tests.

Orientation contrast and entropy contrast in the genesis of subjective contours along thin lines.

Subjective contours are widely considered to be an aspect of the perception of occlusion, but considerations of occlusion do not always drive predictions of their strength. Occluding surfaces have no necessary relationship to the contours they occlude, yet it is commonly predicted that subjective contours will be strongest for inducer alignments that are orthogonal to inducer orientations. In several papers we have proposed that a lack of relationship between inducers and their alignment promotes seeing subjective contours. We explore this further here using horizontal or near-horizontal thin-line inducers arranged vertically with linearly aligned terminations along central gaps. Subjective contour strength was measured using the method of paired comparison in two experiments. The weakest subjective contours were found when the gap was orthogonal to the inducers and parallel to the outer edges of the line set. Subjective contours were strengthened by orientation contrast, defined either as a nonorthogonal relationship between the gap and the inducers or as nonparallelism between the gap and the outer alignments of the inducers. The effect was replicated at both high and low line densities. We also confirmed a strong effect of high inducer entropy (variations in inducer orientation and separation) with thin-line inducers. The results support the view that the lack of a relationship of alignments to what is aligned is a major determinant of subjective contour strength.

Monitoring the impact of the electronic medical record on the quality of laboratory test ordering practices.

The aim of this study was to examine the impact of the Electronic Medical Record (EMR) on the quality of laboratory test orders made by clinicians. The study assessed the type and frequency of pre-analytical laboratory test order errors that were associated with the EMR across three hospitals and one pathology service. This involved a retrospective audit of the laboratory error logs for the period 1 March 2010 to 9 October 2011. Test order problems associated with the EMR occurred at a total rate of 1.34 per 1000 test order episodes across the three hospitals. In the majority of cases these errors were caused by the inappropriate use of the EMR system by clinicians. The errors resulted in increased data entry time for laboratory staff in the Central Specimen Reception area and led to a median increase of 181 minutes in test turnaround times for those test orders. The study highlights the importance of monitoring and comparing the impact of EMR systems in different locations over time in order to identify (and act upon) factors that can adversely impact on the effectiveness of pathology laboratory processes.