Management of procalcitonin test overuse in an emergency department through a computer algorithm.

OBJECTIVES: To show the procalcitonin (PCT) test demand from an emergency department (ED) over several years, to decrease PCT measurement via a computerized algorithm based on C-reactive protein (CRP) value, and to evaluate the subsequent economic savings. STUDY DESIGN: A cross-sectional study was performed from January 1, 2018, to May 31, 2019, to evaluate an intervention to avoid PCT measurement in the ED of Hospital Universitario San Juan in Alicante in Spain, when CRP values are low. METHODS: A PCT result of at least 1.5 ng/mL was agreed upon with ED providers in our study as the value for clinical decision-making, with values less than 1.5 ng/mL considered negative. We retrospectively reviewed all PCT and CRP values for ED patients and calculated the diagnostic indicators for PCT at 4 different CRP cutoffs using the PCT quantification as the gold standard. From July 1, 2019, to April 30, 2021, the agreed-upon strategy was implemented, and we counted the PCT tests avoided and calculated the savings. RESULTS: PCT was not measured when CRP values were less than the selected CRP cutoff of 0.8 mg/dL, at which false-negative results were 1% and the 99th percentile of PCT was 1.5 ng/mL. In the postintervention period, 1091 PCT values were not measured and $11,553.69 was saved. CONCLUSIONS: An intervention to decrease PCT measurement in the ED designed by the clinical laboratory staff in consensus with requesting clinicians and based on CRP values decreased PCT testing and generated significant economic savings.

Laboratory reflex testing strategy for the early identification of primary care patients with multiple myeloma.

OBJECTIVES: Our objective was to shorten the screen for multiple myeloma (MM), through reflex testing. DESIGN AND METHODS: The clinical laboratory in the public University Hospital of San Juan (Alicante, Spain), serves 234,551 inhabitants. Through an intervention agreed with general practitioners, the Laboratory Information System (LIS) automatically registered serum immunoglobulins (Ig) when serum total proteins (STP) > 80 g/L for the first time in primary care patients. When concomitantly one Ig presented a value above and one below its reference interval, the LIS automatically registered a serum protein electrophoresis (SPEP). When a monoclonal peak in SPEP, immunofixation electrophoresis (IFE) for the typification of monoclonal bands (MB) was performed. If MB were present, a comment in the report explained the intervention. The number of additionally registered Ig, SPEP, IFE, and new diagnosis of MM were counted. The number of days elapsed from the report of elevated STP result to the final MM diagnosis was also counted as median and interquartile range (IQR), and compared to a pre intervention period. RESULTS: 2071 cases of hyperproteinemia were identified, and had 91 a monoclonal peak, confirmed by IFE. In 35 patients it was a new finding, and 9 were diagnosed with MM, 3 Waldestrom macroglobulinemia, 2 lymphoplasmacytic lymphoma and 21 monoclonal gammopathy of undetermined significance. The number of days elapsed from hyperproteinemia to diagnosis was lower in the intervention period (21.5 vs 119.4) (P < 0.01). As our results show, in addition to shortening the time to diagnosis, an increased rate of detection of plasma cell disorders was observed when using our algorithm. CONCLUSIONS: The above laboratory interventions agreed with clinicians, making use of laboratory technology resulted in early identification of MM.

Clinical Decision Support System in laboratory medicine.

Clinical Decision Support Systems (CDSS) have been implemented in almost all healthcare settings. Laboratory medicine (LM), is one of the most important structured health data stores, but efforts are still needed to clarify the use and scope of these tools, especially in the laboratory setting. The aim is to clarify CDSS concept in LM, in the last decade. There is no consensus on the definition of CDSS in LM. A theoretical definition of CDSS in LM should capture the aim of driving significant improvements in LM mission, prevention, diagnosis, monitoring, and disease treatment. We identified the types, workflow and data sources of CDSS. The main applications of CDSS in LM were diagnostic support and clinical management, patient safety, workflow improvements, and cost containment. Laboratory professionals, with their expertise in quality improvement and quality assurance, have a chance to be leaders in CDSS.

Reporting age-adjusted D-dimer cut-off values reduces radiology overuse in emergency department patients with suspected deep venous thrombosis.

INTRODUCTION: Venous thromboembolism (VTE) is a leading cause of death, associated with substantial morbidity in the absence of treatment. Our aim was, first, to compare the diagnostic performance of D-dimer for the diagnosis of VTE in the emergency department (ED), when reporting conventional cut-off point versus when additionally reporting age-adjusted values. Second, we explored the ordering pattern of Doppler ultrasound (US) and computerized tomographic pulmonary angiogram (CTPA), before and after reporting of the aforementioned age-adjusted cut-off value. MATERIALS AND METHODS: We conducted a cross-sectional study to compare the diagnostic performance of D-dimer as a screening for VTE when reporting the conventional cut-off value versus when additionally including the age-adjusted metrics, and a quasi-experimental study to explore the ordering of Doppler US and CTPA before the age-specific metrics were shared in the report in ED patients between 50 and 100 years-old with D-dimer ordering. RESULTS: The cross-sectional study included 392 patients, 25 with VTE. The specificity using an age-adjusted cut-off value was significantly higher (0.51) compared to a single absolute cut-off (0.42), and the negative likelihood ratio was lower as well (0.08 vs. 0.19), but again not statistically significant. In the quasi-experimental study, there was a decrease in the rate of use of both CTPA and Doppler US (P < 0.05). CONCLUSION: The intervention improved the use of the D-dimer result in the ED and helped improve the request for imaging tests.

Clinical Decision Support systems: A step forward in establishing the clinical laboratory as a decision maker hubA CDS system protocol implementation in the clinical laboratory.

Background: New tools for health information technology have been developed in recent times, such as Clinical Decision Support (CDS) systems, which are any digital solutions designed to help healthcare professionals when making clinical decisions. The study aimed to show how we have adopted a CDS system in the San Juan de Alicante Clinical Laboratory and facilitate the implementation of our protocol in other clinical laboratories. We have user experience and the motivation to improve healthcare tools. The improvement, measurement, and monitoring of interventions and laboratory tests has been our motto for years. Materials and methods: A descriptive research was conducted. All stages in the design of the project are as follows: 1. Set up a multidisciplinary workgroup. 2. Review patients' data. 3. Identify relevant data from main sources. 4. Design the likely outcomes. 5. Define a complete integration scenario. 6. Monitor and track the impact. To set up this protocol, two new software systems were implemented in our laboratory: AlinIQ CDS v8.2 as Rule Engine, and AlinIQ AIP Integrated Platform v1.6 as Business Intelligence (BI) tool. Results: Our protocol shows the workflow and actions that can be done with a CDS system and also how it could be integrated with other monitoring systems, as well as some examples of KPIs and their outcomes. Conclusions: CDS could be a great strategic asset for clinical laboratories to improve the integration of care, optimize the use of laboratory tests, and add more clinical value to physicians in the interpretation of results.