The role of serum asprosin levels in predicting the severity of coronary artery disease in patients with diabetes mellitus.

BACKGROUND: Asprosin is an emerging biomarker that plays a role in metabolic diseases. This study investigates asprosin as a predictive marker for coronary artery disease (CAD) severity in diabetic patients. METHODS: Diabetic patients (n = 181) and healthy controls (n = 60) were analyzed. CAD severity was assessed using SYNTAX score. Diabetic patients were divided into 3 groups. Group 1 = patients without CAD, group 2 = patients with low SYNTAX score, and group 3 = patients with moderate-high SYNTAX score. Asprosin levels were measured for all participants using an enzyme-linked immunosorbent assay (ELISA). RESULTS: Asprosin levels were significantly higher in patient group compared to control group (p < 0.001). Asprosin levels were significantly higher in group 3 compared to group 1 and group 2 (p = 0.002). In logistic regression analysis, asprosin levels independently predicted patients with moderate-high SYNTAX scores. According to this analysis, 1 ng/mL increase in asprosin level was found to increase the risk of having moderate-high SYNTAX score by 14.1%. When the threshold value of asprosin level was set as 22.17 ng/mL, it predicted patients with moderate-high SYNTAX score with 63.6% sensitivity and 62.6% specificity. In multivariate regression analysis, SYNTAX score independently correlated with asprosin level. CONCLUSION: This is the first study in the literature to demonstrate a positive correlation between asprosin levels and SYNTAX scores in diabetic patients with CAD. More comprehensive studies with larger groups are needed.

Hereditary Hyperferritinemia-Cataract Syndrome in a Family With HFE-H63D Mutation.

Hereditary hyperferritinemia-cataract syndrome (HHCS) is a rare genetic condition characterized by persistent hyperferritinemia (usually ferritin >1,000 ng/mL) without tissue iron overload, with or without early-onset slow-progressing bilateral nuclear cataract. It was first identified as a new genetic disorder in 1995, and since then genetic sequencing studies have been carried out to identify associated mutations in affected families. New mutations around the world are still being reported in the iron-responsive element (IRE) of the L-ferritin gene (FTL) to this day. Many clinicians remain unaware of this rare condition. The co-occurrence of FTL mutations and hereditary hemochromatosis (HH) mutations, especially H63D, on the HFE gene has been reported in the literature, which often leads to a diagnosis of HH, missed diagnosis of HHCS, incorrect treatment with phlebotomies and the occurrence of associated iatrogenic iron deficiency anemia. We herein report the case of a 40-year-old woman with spontaneous facial freckling, bilateral cataracts, homozygosity for HFE H63D mutation, iron deficiency anemia, and hyperferritinemia, who has been treated with phlebotomy and iron chelation therapy to no avail. Eleven years after being diagnosed and treated for HH, a reevaluation of her clinical presentation, laboratory results, medical imaging, and family history led to the recognition that her case is explained not by HH, but by an alternative diagnosis, HHCS. Our main objective in this report is to increase clinical awareness about HHCS, an often-unknown differential diagnosis of hyperferritinemia without iron overload, and to prevent adverse medical interventions in HHCS patients.

Wait!What does that mean?: Eliminating ambiguity of delays in healthcare from an OR/MS perspective.

Waiting time in healthcare is a significant problem that occurs across the world and often has catastrophic effects. There are various terms used for waiting time ("sojourn", "throughput" etc.) and there is no consensus on how these terms are defined. Ambiguous definitions of waiting time make it difficult to compare and measure the problems related to waiting times and delays in healthcare. We present a systematic search and review of the Operations Research and Management Science (ORMS) literature on delays in healthcare services. We search for articles from 2004 to 2019 and base our search strategy on a well-known healthcare planning and control decision taxonomy. An important step towards reducing the ambiguity in the definitions is to distinguish between access time and waiting time. We provide clear definitions and examples of access time and waiting time, and we classify our search results according to three categories: article type, healthcare service investigated and ORMS technique used to solve the delay problem. We find that half of the ORMS research on the waiting and access time problem is done on Ambulatory Care services. We provide tables for each healthcare service that highlight key definitions, the techniques that are used most often and the healthcare environment where the research is done. This research highlights the significant ORMS research that is done on access and waiting time in healthcare as well as the remaining research opportunities. Moreover, it provides a common language for the ORMS community to solve critical waiting time issues in healthcare.

Characterization of Laboratory Flow and Performance for Process Improvements via Application of Process Mining.

BACKGROUND: The rising level of laboratory automation provides an increasing number of logged events that can be used for the characterization of laboratory performance and process improvements. This abundance of data is often underutilized for improving laboratory efficiency. OBJECTIVES: The first aim of this descriptive study is to provide a structured approach for transforming raw laboratory data to data that is suitable for process mining. The second aim is to describe a process mining approach for mapping and characterizing the sample flow in a clinical chemistry laboratory to identify areas for improvement in the testing process. METHODS: Data were extracted from instrument log files and the middleware between laboratory instruments and information technology infrastructure. Process mining was used for automated process discovery and analysis. Laboratory performance was quantified in terms of relevant key performance indicators (KPIs): turnaround time, timeliness, workload, work-in-process, and machine downtime. RESULTS: The method was applied to two Dutch university hospital clinical chemistry laboratories. We identified areas where alternative routes might increase laboratory efficiency and observed the negative effects of machine downtime on laboratory performance. This encourages the laboratory to review sample routes in its analyzer lines, the routes of high priority samples during instrument downtime, as well as the preventive maintenance policy. CONCLUSION: This article provides the first application of process mining to event data from a medical diagnostic laboratory for automated process model discovery. Our study shows that process mining, with the use of relevant KPIs, provides valuable insights for laboratories that motivates the disclosure and increased utilization of laboratory event data, which in turn drive the analytical staff to intervene in the process to achieve the set performance goals. Our approach is vendor independent and widely applicable for all medical diagnostic laboratories.

Smartwatch based automatic detection of out-of-hospital cardiac arrest: Study rationale and protocol of the HEART-SAFE project.

Out-of-hospital cardiac arrest (OHCA) is a leading cause of mortality. Immediate detection and treatment are of paramount importance for survival and good quality of life. The first link in the 'chain of survival' after OHCA - the early recognition and alerting of emergency medical services - is at the same time the weakest link as it entirely depends on witnesses. About one half of OHCA cases are unwitnessed, and victims of unwitnessed OHCA have virtually no chance of survival with good neurologic outcome. Also in case of a witnessed cardiac arrest, alerting of emergency medical services is often delayed for several minutes. Therefore, a technological solution to automatically detect cardiac arrests and to instantly trigger an emergency response has the potential to save thousands of lives per year and to greatly improve neurologic recovery and quality of life in survivors. The HEART-SAFE consortium, consisting of two academic centres and three companies in the Netherlands, collaborates to develop and implement a technical solution to reliably detect OHCA based on sensor signals derived from commercially available smartwatches using artificial intelligence. In this manuscript, we describe the rationale, the envisioned solution, as well as a protocol outline of the work packages involved in the development of the technology.

Turnaround time prediction for clinical chemistry samples using machine learning.

OBJECTIVES: Turnaround time (TAT) is an essential performance indicator of a medical diagnostic laboratory. Accurate TAT prediction is crucial for taking timely action in case of prolonged TAT and is important for efficient organization of healthcare. The objective was to develop a model to accurately predict TAT, focusing on the automated pre-analytical and analytical phase. METHODS: A total of 90,543 clinical chemistry samples from Erasmus MC were included and 39 features were analyzed, including priority level and workload in the different stages upon sample arrival. PyCaret was used to evaluate and compare multiple regression models, including the Extra Trees (ET) Regressor, Ridge Regression and K Neighbors Regressor, to determine the best model for TAT prediction. The relative residual and SHAP (SHapley Additive exPlanations) values were plotted for model evaluation. RESULTS: The regression-tree-based method ET Regressor performed best with an R2 of 0.63, a mean absolute error of 2.42 min and a mean absolute percentage error of 7.35%, where the average TAT was 30.09 min. Of the test set samples, 77% had a relative residual error of at most 10%. SHAP value analysis indicated that TAT was mainly influenced by the workload in pre-analysis upon sample arrival and the number of modules visited. CONCLUSIONS: Accurate TAT predictions were attained with the ET Regressor and features with the biggest impact on TAT were identified, enabling the laboratory to take timely action in case of prolonged TAT and helping healthcare providers to improve planning of scarce resources to increase healthcare efficiency.

Efficacy and safety profile of COVID-19 vaccine in cancer patients: a prospective, multicenter cohort study.

Aim: To compare the seropositivity rate of cancer patients with noncancer controls after inactive SARS-CoV-2 vaccination and evaluate the factors affecting seropositivity. Method: Spike IgG antibodies against SARS-CoV-2 were measured in blood samples of 776 cancer patients and 715 noncancer volunteers. An IgG level ≥50 AU/ml is accepted as seropositive. Results: The seropositivity rate was 85.2% in the patient group and 97.5% in the control group. The seropositivity rate and antibody levels were significantly lower in the patient group (p < 0.001). Age and chemotherapy were associated with lower seropositivity in cancer patients (p < 0.001). Conclusion: This study highlighted the efficacy and safety of the inactivated vaccine in cancer patients. Clinical Trials Registration: NCT04771559 (ClinicalTrials.gov).

Cancer patients are at high risk for infection with SARS-CoV-2 and of developing the associated disease, COVID-19, which therefore puts them in the priority group for vaccination. This study evaluated the efficacy and safety of inactive SARSCoV-2 vaccination, an inactivated virus vaccine, in cancer patients. The immune response rate, defined as seropositivity, was 85.2% in the cancer patient group and 97.5% in the control group. The levels of antibodies, which are blood markers of immune response to the vaccine, were also significantly lower in the patient group, especially in those older than 60 years and receiving chemotherapy. These results highlight the importance of determining the effective vaccine type and dose in cancer patients to protect them from COVID-19 without disrupting their cancer treatment.

Radiotherapy treatment scheduling: Implementing operations research into clinical practice.

BACKGROUND: Every week, radiotherapy centers face the complex task of scheduling hundreds of treatment sessions amongst the available linear accelerators. With the increase in cancer patient numbers, manually creating a feasible and efficient schedule has shown to be a difficult, time-consuming task. Although operations research models have been increasingly reported upon to optimize patient care logistics, there is almost no scientific evidence of implementation in practice. METHODS: A mathematical operations research model was adapted to generate radiotherapy treatment schedules in two Dutch centers. The model was iteratively adjusted to fulfill the technical and medical constraints of each center until a valid model was attained. Patient data was collected for the planning horizon of one week, and the feasibility of the obtained schedules was verified by the staff of each center. The resulting optimized solutions are compared with the ones manually developed in practice. RESULTS: The weekly schedule was improved in both centers by decreasing the average standard deviation between sessions' starting times from 103.0 to 50.4 minutes (51%) in one center, and the number of gaps in the schedule from 18 to 5 (72%) in the other. The number of patients requiring linac switching between sessions has also decreased from 71 to 0 patients in one center, and from 43 to 2 in the other. The automated process required 5 minutes and 1.5 hours of computation time to find an optimal weekly patient schedule, respectively, as opposed to approximately 1.5 days when performed manually for both centers. CONCLUSIONS: The practical application of a theoretical operations research model for radiotherapy treatment scheduling has provided radiotherapy planners a feasible, high-quality schedule in an automated way. Iterative model adaptations performed in small steps, early engagement of stakeholders, and constant communication proved to facilitate the implementation of operations research models into clinical practice.

Carotid-femoral pulse wave velocity is significantly increased in newly diagnosed hypertensive patients with primary hyperparathyroidism and significantly related with serum calcium level.

BACKGROUND: Primary hyperparathyroidism (PHP) is a rare cause of secondary hypertension (HT), but in patients with PHP, HT is very common and 20-80% of patients have HT. The aim of this study was to evaluate the change in carotid-femoral pulse wave velocity (CF-PWV) in hypertensive patients with PHP, and was to determine the clinical, laboratory, and echocardiographic parameters associated with CF-PWV. METHODS: The study included 83 newly diagnosed hypertensive patients with PHP and 83 patients with newly diagnosed essential HT without PHP. All patients underwent echocardiography and CF-PWV measurements. RESULTS: In patients with PHP, blood urea nitrogen, hs-CRP, uric acid, serum and urine calcium, parathyroid hormone level, CF-PWV value, LV wall thickness, LVMI, aortic and left atrium (LA) diameter, and presence of LVH and CF-PWV > 10 m/s were higher, and serum phosphorus levels were lower. Serum calcium, LA diameter, and LVMI values were closely correlated with CF-PWV. In the ROC analysis, the AUROC was calculated as 0.825 for calcium level to determine the patients with increased CF-PWV. When the serum calcium value was taken as 10 mg/dL, it was determined with CF-PWV > 10 m/s were 79.5% sensitivity and 78.2% specificity. CONCLUSION: CF-PWV significantly increases in newly diagnosed hypertensive patients with PHP and significantly related to serum calcium level. To protect against target organ damage, high serum calcium levels should be monitored as well as blood pressure in hypertensive patients with PHP.

Radiotherapy treatment scheduling considering time window preferences.

External-beam radiotherapy treatments are delivered by a linear accelerator (linac) in a series of high-energy radiation sessions over multiple days. With the increase in the incidence of cancer and the use of radiotherapy (RT), the problem of automatically scheduling RT sessions while satisfying patient preferences regarding the time of their appointments becomes increasingly relevant. While most literature focuses on timeliness of treatments, several Dutch RT centers have expressed their need to include patient preferences when scheduling appointments for irradiation sessions. In this study, we propose a mixed-integer linear programming (MILP) model that solves the problem of scheduling and sequencing RT sessions considering time window preferences given by patients. The MILP model alone is able to solve the problem to optimality, scheduling all sessions within the desired window, in reasonable time for small size instances up to 66 patients and 2 linacs per week. For larger centers, we propose a heuristic method that pre-assigns patients to linacs to decompose the problem in subproblems (clusters of linacs) before using the MILP model to solve the subproblems to optimality in a sequential manner. We test our methodology using real-world data from a large Dutch RT center (8 linacs). Results show that, combining the heuristic with the MILP model, the problem can be solved in reasonable computation time with as few as 2.8% of the sessions being scheduled outside the desired time window.

Sexual dysfunction in female subjects with beta-thalassemia minor.

Beta thalassemia minor (BTM) is a hereditary disease caused by defective globin synthesis and it is frequently asymptomatic or only mildly anemic. Female sexual dysfunction affects 21-41% of women worldwide. In this study we aimed to investigate female sexual dysfunction in subjects with BTM. A total of 183 subjects who had regular sexual intercourse with marital partners were enrolled in this cross-sectional study. The study group was comprised of 87 subjects with BTM and the control group included 96 healthy subjects. Hemoglobin electrophoresis were performed in all subjects, and all participants were assessed by the Female Sexual Function Index (FSFI) questionnaire and the Arizona Sexual Experience Scale (ASEX). The FSFI scores of the study group were significantly lower than in the control group (19.1 ± 9.6 vs. 25.2 ± 6.6, p < 0.001). Conversely, the ASEX scores of the study group were higher than in the control group (15.2 ± 41 vs. 13.5 ± 6.1, p = 0.0085). Sexual functions were poor in subjects with BTM in this study and we conclude that certain metabolic diseases associated with BTM, such as insulin resistance, hyperglycemia and dyslipidemia, may be the main causes of sexual dysfunctions in these subjects.

Morning blood pressure surge increases in patients with hypertensive primary hyperparathyroidism and is independently associated with serum calcium level.

Introduction: There is not enough data on the effects of primary hyperparathyroidism (pHPT) on morning blood pressure surge (MBPS) in the literature. We aimed to determine whether there was any change in MBPS value in patients with hypertensive pHPT and to determine the parameters related to MBPS.Method: 80 patients with newly diagnosed pHPT with hypertension (HT) and 80 controls with newly diagnosed hypertension were included. Routine laboratory examinations and ambulatory blood pressure monitoring (ABPM) were performed in all patients.Results: In patients with pHPT, blood urea nitrogen (BUN), triglyceride, hs-CRP, uric acid, serum calcium (Ca), parathormone (PTH), daytime SBP and MBPS levels are higher than others (p < 0.05). Body mass index (BMI) and Ca level were independently associated with MBPS. In patients with MBPS ≥ 25 mmHg, BMI, BUN, creatinine, uric acid, Ca and PTH levels were found to be higher than others. BMI values and Ca levels determine the patients with MBPS ≥ 25 mmHg (p < 0.05) independently. According to this analysis, increase in BMI (for each 1 unit) and Ca level (for each 0.1 mg/dL) was found to increase the probability of MBPS ≥ 25 mmHg by 17.8% and 7.7%, respectively. When the cut-off value for Ca was taken as 10 mg/dL, the patients with MBPS ≥ 25 mmHg were determined with 73.5% sensitivity and 73.1% specificity.Conclusion: MBPS significantly increases in patients with newly diagnosed hypertensive pHPT. This increase in MBPS is closely associated with increased Ca levels. In patients with pHPT, lowering the Ca level below 10 mg/dL may have clinical implications.

Tp-e interval, Tp-e/QT and Tp-e/QTc ratio in hypertensive patients with primary aldosteronism.

Introduction: There is no study evaluating the Tp-e/QT and Tp-e/QTc ratios with T wave peak to end interval (Tp-e interval) used for evaluation of cardiac arrhythmia risk and ventricular repolarization changes in patients with primary aldosteronism (PA). We aimed to investigate whether there was a change in Tp-e interval, Tp-e/QT and Tp-e/QTc ratios in patients with PA.Method: Thirty patients with newly diagnosed hypertension (HT) and PA and 30 patients with primary HT were included. Twelve-lead electrocardiography (ECG) was performed in all patients. Tp-e interval, Tp-e/QT and Tp-e/QTc ratios were measured in addition to routine measurements in ECG.Results: Sodium, potassium, and plasma renin activity (PRA) were significantly lower in patients with PA; systolic and diastolic blood pressure, plasma aldosterone, plasma aldosterone/PRA were significantly higher in patients with PA (p < .05 for each one). When ventricular repolarization parameters were examined; while QT and QTc interval were similar between two groups, Tp-e interval, Tp-e/QT and Tp-e/QTc ratio values were significantly higher in patients with PA (p < .05 for each one). Tp-e interval, Tp-e/QT and Tp-e/QTc ratio values were positively correlated with the serum calcium, aldosterone, and aldosterone/PRA levels and negatively correlated with serum sodium, potassium, renin levels (p < .05 for each one). In linear regression analyses, Tp-e interval, Tp-e/QT and Tp-e/QTc ratios were independently associated with the aldosterone/PRA ratio.Conclusion: Tp-e interval, Tp-e/QT and Tp-e/QTc were increased in hypertensive patients with PA and were independently associated with aldosterone/PRA levels. This may be related to the changing neuroendocrine state in patients with PA.

Decreased left atrial global longitudinal strain predicts the risk of atrial fibrillation recurrence after cryoablation in paroxysmal atrial fibrillation.

PURPOSE: We aimed to investigate the association of atrial fibrillation (AF) recurrence with left atrial (LA) strain in nonvalvular paroxysmal AF patients after cryoablation. METHODS: We included 190 patients who underwent successful cryoablation due to paroxysmal AF. In addition to classical echocardiographic data, LA apical 2-chamber (A2C) strain, LA apical 4-chamber (A4C) strain, and LA global longitudinal strain (LA-GLS) values were calculated by speckle tracking echocardiography. Forty-eight-hour Holter monitoring was performed to all patients no later than 6 months after ablation. RESULTS: AF recurrence was detected in 42 patients (22.1%). End-systolic diameter, LA end-systolic diameter, LA-volume, LA-volume index, interatrial septum thickness, coronary sinus diameter, epicardial fat thickness (EFT), and septal E/E` ratio were significantly higher, LV-EF, IVRT, septal S and A` wave, lateral S wave, LA-A2C strain, LA-A4C strain, and LA-GLS were significantly lower in patients with AF recurrence. LA-GLS, LA-volume index, and EFT were found to be independent parameters for predicting AF recurrence. CONCLUSIONS: LA-GLS and LAVI should be included in routine evaluations to determine long-term AF recurrence preoperatively.

CTRP3 is Significantly Decreased in Patients with Primary Hyperparathyroidism and Closely Related with Osteoporosis.

BACKGROUND: Adipokines derived from adipocytes are one of the important factors that act as circulating regulators of bone metabolism. Complement C1q/tumor necrosis factor-related protein-3 (CTRP3), a paralog of adiponectin, is are member of the CTRP superfamily. The aim of this study was to investigate the role of serum CTRP3 in the development of osteoporosis in patients with primary hyperparathyroidism. METHODS: This study included 53 patients with diagnosed primary hyperparathyroidism and 30 healthy controls. Laboratory tests for the diagnosis of primary hyperparathyroidism and serum levels of CTRP3 measured for all patients. Bone mineral density was obtained on lumbar spine 1 and 4 by dual energy X-ray absorptiometry. RESULTS: Serum CTRP3 levels were lower in patients with primary hyperparathyroidism than in the control group (p<0.001). In addition, primary hyperparathyroidism patients are were divided into two groups as, with and without osteoporosis; the levels of CTRP3 were lower in patients with osteoporosis than in patients without osteoporosis (p=0.004). In logistic regression analysis, only CTRP3 levels independently determined the patients to be osteoporosis (p<0.05). According to this analysis, decreased CTRP3 (per 1 ng/mL) levels were found to increase the risk of patients for osteoporosis by 6.9%. When the CTRP3 cut-off values were taken as 30 ng/mL, it determined osteoporosis with 76.4% sensitivity and 73.2% specificity. CTRP3 and urine calcium levels were independently associated with T score in dual energy X-ray absorptiometry. CONCLUSIONS: CTRP3 levels were significantly decreased in patients with primary hyperparathyroidism, and it is also related to osteoporosis.

In patients with diabetic foot, improved left ventricular functions are detected by strain echocardiography after the diabetic foot treatment: A cross-sectional study.

Diabetic foot is a macrovascular complication of diabetes mellitus (DM). In the literature, the relationship between diabetic foot and another macrovascular complication of DM is not clear. The aim of this study was to determine the current left ventricular (LV) systolic function in patients with diabetic foot and to investigate the effect of diabetic foot treatment on LV systolic functions.In this study, 54 patients with diabetic foot and 22 patients without diabetic foot were included. Routine anamnesis, physical examination, echocardiography, and laboratory examinations were performed. In addition, LV global longitudinal strain (LV-GLS) was measured by strain echocardiography technique. LV ejection fraction (LV-EF) and LV-GLS measurements were repeated with echocardiography at the 3rd month of diabetic foot treatment.The incidence of cardiovascular risk factors such as smoking, hypertension, and coronary artery disease was found to be higher in patients with diabetic foot. (P < .05 for each one). Similarly, in patients with diabetic foot, glucose, Hemoglobin A1c, neutrophil, sedimentation, urea, creatinine, potassium, uric acid, alanine aminotransferase, aspartate aminotransferase, C-reactive protein, and brain natriuretic protein were higher; high-density lipoprotein cholesterol level was found to be significantly lower. LV wall thicknesses and diameters were higher and LV-EF was lower in patients with diabetic foot (P < .05 each one). LV-GLS values were significantly lower in patients with diabetic foot (P < .05). Although no significant change was found in the LV-EF value at the 3rd-month follow-up echocardiography (48.6% ±â€Š7.0% vs 48.5% ±â€Š5.9% and P = .747), it was detected that LV-GLS values (17.3 ±â€Š2.1 vs 18.4 ±â€Š2.3) were significantly increased (P < .001).LV systolic function was significantly affected in patients with diabetic foot. This may be related to the increased frequency of cardiovascular risk factors in these patients. However, the significant improvement in LV-GLS values after the diabetic foot treatment showed that diabetic foot itself was an important cause of LV systolic dysfunction.

Improving workflow control in radiotherapy using discrete-event simulation.

BACKGROUND: In radiotherapy, minimizing the time between referral and start of treatment (waiting time) is important to possibly mitigate tumor growth and avoid psychological distress in cancer patients. Radiotherapy pre-treatment workflow is driven by the scheduling of the first irradiation session, which is usually set right after consultation (pull strategy) or can alternatively be set after the pre-treatment workflow has been completed (push strategy). The objective of this study is to assess the impact of using pull and push strategies and explore alternative interventions for improving timeliness in radiotherapy. METHODS: Discrete-event simulation is used to model the patient flow of a large radiotherapy department of a Dutch hospital. A staff survey, interviews with managers, and historical data from 2017 are used to generate model inputs, in which fluctuations in patient inflow and resource availability are considered. RESULTS: A hybrid (40% pull / 60% push) strategy representing the current practice (baseline case) leads to 12% lower average waiting times and 48% fewer first appointment rebooks when compared to a full pull strategy, which in turn leads to 41% fewer patients breaching the waiting time targets. An additional scenario analysis performed on the baseline case showed that spreading consultation slots evenly throughout the week can provide a 21% reduction in waiting times. CONCLUSIONS: A 100% pull strategy allows for more patients starting treatment within the waiting time targets than a hybrid strategy, in spite of slightly longer waiting times and more first appointment rebooks. Our algorithm can be used by radiotherapy policy makers to identify the optimal balance between push and pull strategies to ensure timely treatments while providing patient-centered care adapted to their specific conditions.

A critical review of laboratory performance indicators.

Healthcare budgets worldwide are under constant pressure to reduce costs while improving efficiency and quality. This phenomenon is also visible in clinical laboratories. Efficiency gains can be achieved by reducing the error rate and by improving the laboratory's layout and logistics. Performance indicators (PIs) play a crucial role in this process as they allow for performance assessment. This review aids in the process for selecting laboratory PIs-which is not trivial-by providing an overview of frequently used PIs in the literature that can also be used in clinical laboratories. We conducted a systematic review of the laboratory medicine literature on PIs. As the testing process in clinical laboratories can be viewed as a production process, we also reviewed the production processes literature on PIs. The reviewed literature relates to the design, optimization or performance assessment of such processes. The most frequently cited PIs relate to pre-analytical errors, timeliness, resource utilization, cost, and the amount of congestion. Their citation frequency in the literature is used as a proxy for their importance. PIs are discussed in terms of their definition, measurability and impact. The use of suitable PIs is crucial in production processes, including clinical laboratories. By also reviewing the production processes literature, additional relevant PIs for clinical laboratories were found. The PIs in the laboratory medicine literature mostly relate to laboratory errors, while the PIs in the production processes literature relate to the amount of congestion in the process.