Development and machine learning-based calibration of low-cost multiparametric stations for the measurement of CO2 and CH4 in air.

The pressing issue of atmospheric pollution has prompted the exploration of affordable methods for measuring and monitoring air contaminants as complementary techniques to standard methods, able to produce high-density data in time and space. The main challenge of this low-cost approach regards the in-field accuracy and reliability of the sensors. This study presents the development of low-cost stations for high-time resolution measurements of CO2 and CH4 concentrations calibrated via an in-field machine learning-based method. The calibration models were built based on measurements parallelly performed with the low-cost sensors and a CRDS analyzer for CO2 and CH4 as reference instrument, accounting for air temperature and relative humidity as external variables. To ensure versatility across locations, diversified datasets were collected, consisting of measurements performed in various environments and seasons. The calibration models, trained with 70 % for modeling, 15 % for validation, and 15 % for testing, demonstrated robustness with CO2 and CH4 predictions achieving R2 values from 0.8781 to 0.9827 and 0.7312 to 0.9410, and mean absolute errors ranging from 3.76 to 1.95 ppm and 0.03 to 0.01 ppm, for CO2 and CH4, respectively. These promising results pave the way for extending these stations to monitor additional air contaminants, like PM, NOx, and CO through the same calibration process, integrating them with remote data transmission modules to facilitate real-time access, control, and processing for end-users.

Validating the reproducibility of a low-cost single-channel fNIRS device across hierarchical cognitive tasks.

This study evaluates a low-cost, single-channel fNIRS device in cognitive neuroscience, aiming to overcome the financial barriers of commercial systems by testing its efficacy in tasks of varying complexity. Twenty-six participants engaged in motor control (finger-tapping), working memory (n-back), and creativity (AUT) tasks while their prefrontal cortex activity was monitored using the device, with behavioral and cerebral blood flow changes recorded. Results showed the device's capability to detect significant blood flow variations across different tasks, thereby supporting its use in cognitive research. The study confirms the potential of single-channel fNIRS as a cost-effective tool for diverse cognitive assessments, from simple motor actions to complex creative thinking.

Cost-effectiveness of population-based screening for chronic obstructive pulmonary disease in China: a simulation modeling study.

Background: China has the highest disease burden of chronic obstructive pulmonary disease (COPD) in the world; however, the diagnosis rate remains low. Screening for COPD in the population may improve early diagnosis and long-term health outcomes for patients with COPD. In this study, we aimed to evaluate the cost-effectiveness of population-based COPD screening policies in China. Methods: We developed a microsimulation model that simulated incidence, natural history, and clinical management of COPD over a lifetime horizon among the general population aged 35-80 years in China. We evaluated population-based screening policies with different screening methods (one-step with COPD Screening Questionnaire or two-step with additional portable spirometer test) and frequencies (one-time or every 1-10 years). We calculated the incremental cost-effectiveness ratio (ICER) of the screening policies compared with the status quo (without screening) and identified the most cost-effective screening policy. Scenario and sensitivity analyses were performed to assess the impact of key parameters and the robustness of model results. Findings: Compared with the status quo, all population-based COPD screening policies were cost-effective with estimated ICERs ranging between $8034 and $13,209 per quality-adjusted-life-year (QALY), all under the willingness-to-pay value of $38,441/QALY (three times China's gross domestic product per capita). A total of 0.39%-8.10% of COPD-related deaths and 0.58%-2.70% of COPD exacerbations were projected to be averted by COPD screening. Among all screening policies, annual two-step screening was the most cost-effective. Improving the linkage from screening to diagnosis and treatment could further increase population health benefits and the cost-effectiveness of COPD screening. Interpretation: Population-based screening for COPD could be cost-effective in China. Offering public programs for COPD screening similar to existing preventive health services for other chronic diseases could be a promising strategy to improve population health outcomes and mitigate the disease burden of COPD in China. Funding: Alexander von Humboldt Foundation, National Natural Science Foundation of China, CAMS Innovation Fund for Medical Science, Chinese Academy of Engineering project, and Horizon Europe.

Economic and Humanistic Burden of Moderate and Severe Hemophilia A and B in Spain: Real-World Evidence Insights from the CHESS II Study.

Background: Hemophilia is a congenital disorder characterized by deficiency or absence of clotting factor VIII in hemophilia A (HA) or clotting factor IX in hemophilia B (HB), resulting in frequent, repeated, and prolonged spontaneous or traumatic bleeding into joints or soft tissue. Severity is classified by the patient's baseline level of clotting factor activity as mild (>5%-40%), moderate (1%-5%), or severe (<1%). In Spain, there is limited information on the societal economic burden of disease. Objective: To estimate the economic and humanistic burden of disease in adult patients with non-inhibitor moderate and severe HA and HB in Spain. Methods: Spanish data from the CHESS II study (2018-2020) on patients' clinical characteristics, health-related quality of life (HRQoL) and hemophilia-related healthcare resource utilization were analyzed. Economic burden was determined by estimating condition-related annual per-patient direct (medical and nonmedical) and indirect costs, stratified according to hemophilia type and severity and presented as 2022 Euros. HRQoL was assessed via the EQ-5D-5L. Results: Of 341 patients in the Spanish CHESS II cohort, 288 patients met the inclusion criteria: 181 had HA (37% [n = 66] moderate and 63% [n=115] severe) and 107 had HB (26% [n = 28] moderate and 74% [n = 79] severe). Mean annual direct cost was higher in HB than in HA, and higher in severe than in moderate patients, resulting in an annual cost/patient of €17 251 (moderate HA), €17 796 (moderate HB), €116 767 (severe HA) and €206 996 (severe HB). The main direct cost component in all groups except moderate HA was factor replacement therapy. Mean per-patient indirect cost was €4089 (moderate HA), €797 (moderate HB), €8633 (severe HA) and €8049 (severe HB). Finally, the mean total cost (direct and indirect) for moderate and severe patients were €91 017 (HA) and €163 924 (HB). EQ-5D-5L [SD] scores were lower in patients with severe HA (0.77 [0.18]) and severe HB (0.70 [0.22]) compared with patients with moderate HA (0.81 [0.15]) and moderate HB (0.86 [0.17]). Conclusions: Independently of the type of hemophilia, greater condition severity was associated with increased costs and a decrease in HRQoL.

Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model.

BACKGROUND: Open-system electronic cigarette (EC) product features, such as battery capacity, maximum output wattage, and so forth, are major components that drive product costs and may influence use patterns. Moreover, continued innovation and monitoring of product features and prices will provide critical information for designing appropriate taxation policies and product regulations. OBJECTIVE: This study will examine how product features are associated with the prices of devices sold in web-based vape shops. METHODS: We draw samples from 5 popular, US-based, web-based vape shops from April to August 2022 to examine starter kits, device-only products, and e-liquid container-only products. We implemented a linear regression model with a store-fixed effect to examine the association between device attributes and prices. RESULTS: EC starter kits or devices vary significantly by type, with mod prices being much higher than pod and vape pen prices. The prices of mod starter kits were even lower than those of mod devices, suggesting that mod starter kits are discounted in web-based vape shops. The price of mod kits, mod device-only products, and pod kits increased as the battery capacity and output wattage increased. For vape pens, the price was positively associated with the volume size of the e-liquid container. On the other hand, the price of pod kits was positively associated with the number of containers. CONCLUSIONS: A unit-based specific tax, therefore, will impose a higher tax burden on lower-priced devices such as vape pens or pod systems and a lower tax burden on mod devices. A volume- or capacity-based specific tax on devices will impose a higher tax burden on vape pens with a larger container size. Meanwhile, ad valorem taxes pegged to wholesale or retail prices would apply evenly across device types, meaning those with advanced features such as higher battery capacities and output wattage would face higher rates. Therefore, policy makers could manipulate tax rates by device type to discourage the use of certain device products.

Cost-Effectiveness of Ibrutinib for Chronic Lymphocytic Leukemia Treatment in India: Is Evidence Really at Crossroads?

In recent years, newer drugs, such as ibrutinib, have shown promising improvements in the survival of patients with chronic lymphocytic leukemia (CLL). Despite their effectiveness, concerns about their cost have arisen, prompting the need for an evaluation of their cost-effectiveness. However, recent assessments of ibrutinib's cost-effectiveness for treating CLL in India reveal divergent conclusions. The discord centers on divergent cost-effectiveness thresholds, comparator regimens, cost calculations, and outcome valuation approaches. Such discrepancies affect public health decisions and patient care. The recommendation calls for adherence to methodological guidelines by future studies, fostering consistent findings to empower policy makers and clinicians in leveraging economic evidence for informed decision making in CLL treatment strategies.

Evaluation of the utility and cost of secondary confirmatory testing for Neisseria gonorrhoeae identification from culture.

Current guideline recommends the use of two identification methods for Neisseria gonorrhoeae. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) is now used for primary identification and may be sufficient for definitive identification of N. gonorrhoeae. The performance of three secondary tests (BactiCard, RapID NH and NET test) were compared using 45 bacterial isolates, including 37 Neisseria species. These secondary tests demonstrated diminished specificity (67% - 88%) for N. gonorrhoeae compared with MALDI-TOF. Additionally, data from six clinical microbiology laboratories was used to compare confirmatory test costs and the agreement of results with MALDI-TOF. Discrepancies were documented for 9.4% of isolates, though all isolates (n= 288) identified by MALDI-TOF as N. gonorrhoeae were confirmed by the reference laboratory. These data demonstrate that MALDI-TOF alone is sufficient for N. gonorrhoeae identification, as secondary did not add diagnostic value but do add costs to the testing process.

Financial and economic costs of healthcare associated infections in Africa.

BACKGROUND: Healthcare associated infections (HAI) remain a global health challenge and have elevated rates in Sub-Saharan Africa. HAIs impact patients and their families by causing illness, prolonged hospital stay, potential disability, excess costs and sometimes death. The costs of HAI are increasing due to spreading antimicrobial resistance. A major risk factor for HAIs is lack of water, sanitation, and hygiene (WASH), environmental cleaning and healthcare waste management. In Sub-Saharan Africa these services are lacking in at least 50% of healthcare facilities. AIM: This study estimated the costs associated with HAIs at national level in fourteen countries in Sub-Saharan Africa. METHODS: Economic methodologies were employed to estimate the medical costs, productivity losses and value of premature death from HAIs, drawing on national statistics and published studies to populate the economic model. RESULTS: In 2022, the number of HAIs was estimated at 4.8 million, resulting in 500,000 deaths. Health-related economic losses amounted to US$13 billion per year, equivalent to 1.14% of combined GDP and US$15.7 per capita. Healthcare costs were US$500 per HAI and represented 5.6% of total health expenditure. The costs of providing basic WASH were US$0.91 per capita, which, if they reduced HAIs by 50%, resulted in benefit-cost ratios of 1.6 (financial health care savings only) and 8.6 (including all economic benefits). CONCLUSION: HAIs have a major health and economic burden on African societies, and a significant share can be prevented. It is critical that health policy makers and practitioners dedicate policy space, resources, and training to address HAIs.

EXPRESS: Exploring 'phasic' vs. 'tonic' accounts of the effect of switch probability on the auditory attention switch cost.

Task-switching experiments have shown that the 'switch cost' (poorer performance for task switches than for repetitions) is smaller when the probability of a switch is high (e.g., 0.75) than when it is low (e.g., 0.25). Some theoretical accounts explain this effect in terms of top-down control deployed in advance of the task cue ('pre-cue reconfiguration'). We tested such accounts by manipulating the time available before the onset of the cue (the response-cue interval, RCI), reasoning that top-down pre-cue reconfiguration requires time and therefore its effect should increase with RCI. Participants heard a man and a woman simultaneously speaking number words and categorised the number (<5 vs. >5) spoken by the voice specified by a pictorial gender-related cue presented at an RCI of 100 ms or 2200 ms. The target voice switched with a probability of 0.25 or 0.75 (in separate sessions). In Experiment 1 RTs revealed a large effect of switch probability on the switch cost in the short RCI, which did not increase in the long RCI. Errors hinted at such an increase, but it did not receive clear statistical support and was disconfirmed by a direct and better powered replication in Experiment 2, which fully confirmed the RT pattern from Experiment 1. Thus, the effect of switch probability on the switch cost required little/no time following the response to emerge - it was already at full magnitude at a short RCI - challenging accounts that assume 'phasic' deployment of top-down task-set control in advance of the cue.

The Economic Impact of Atopic Dermatitis.

Atopic dermatitis (AD) is a chronic inflammatory disorder that affects over 30 million people in the United States. Given the large and growing prevalence of AD, the associated economic burden is significant. It has been estimated that AD costs over $5 billion dollars annually. These costs include both direct and indirect costs. Direct costs include prescription medicines, visits to health-care providers, hospitalizations, and transportation. Indirect costs include missed days or lost productivity at work or school, career modification, and reduced quality of life. Understanding and measuring these costs can be accomplished through rigorous economic evaluation, which is the organized process of considering inputs and outcomes of various activities. Economic evaluation has been used to contextualize the burden of AD in society. It has also been used to inform patients, providers, and other stakeholders on how to deliver the most evidence-based, efficient way possible. Understanding the economic impact of atopic dermatitis is an important aspect of delivering high-quality care.

Porter effect vs cost effect: The impact of China's low carbon city pilot on carbon emissions and economic performance.

Building a low-carbon economy can help cities effectively mitigate climate risks, but it is challenging for developing countries. Using a difference-in-difference and event study model, we investigate the joint impact of China's Low-Carbon City Pilot (LCCP) on carbon emissions and economic performance. Our findings show that the LCCP significantly reduces carbon emissions and increases gross revenues, employee count, and fixed assets without compromising the net profit of manufacturing firms. The LCCP has a cumulative effect, with the positive joint impact increasing gradually over time. A heterogeneity analysis shows that the later pilot cities have not achieved better carbon emissions and economic performance than the early pilot cities. The reason for the positive joint effect of LCCP is that the Porter effect outweighs the cost effect. These findings contribute to knowledge about how developing countries can develop a low-carbon economy.

The value-for money of preventing and managing periodontitis: Opportunities and challenges.

This article gives an overview of the societal and economic aspects of periodontitis and periodontal care. Despite its largely preventable nature, periodontitis is highly prevalent worldwide and imposes a substantial health and economic burden on individuals and society as a whole. The worldwide estimated direct treatment costs and productivity losses due to periodontitis (including for periodontitis-related tooth loss) amounted to US$ 186 billion and US$ 142 billion in 2019, respectively. The burden of periodontitis is particularly evident in low and disadvantaged populations. Smoking, dietary habits, and presence of systemic diseases along with social and commercial determinants are considered as risk factors for the periodontal diseases. The cost-effectiveness of preventing and managing periodontitis has been explored in several studies but it has been highlighted that there is scope for improvement in defining the methodology and quality of reporting of such studies. A recent report by The Economist Intelligence Unit examined the cost-effectiveness of interventions to prevent and manage periodontal diseases, suggesting that prevention of periodontitis through prevention of gingivitis by means of individual home care would be more cost-efficient than four other examined approaches. Future research in this field is recommended to further decipher the economic burden of periodontitis to society and to assess the value for money of alternative approaches to address periodontitis with particular emphasis on public health preventive strategies and intersectoral care approaches that address the common risk factors of periodontitis and other non-communicable diseases simultaneously.

The banana tree circle as a nature-based solution for sustainable greywater management: A new design model.

The banana tree circle (BTC) is a low-cost system for local greywater management, using a natural treatment and disposal process, providing additional resource recovery benefits. However, there are no standard design criteria for BTC that would allow for quality control of its efficiency and sustainability, and little is currently known about the full-scale performance of BTC. Based on the scoping literature review of 31 documents in the scientific database and eight documents from grey literature, a standard design model was proposed for the BTC technology based on the concept of water balance, greywater flows, rain, infiltration, and evapotranspiration. The first two steps of the BTC design were determining the areas required for infiltration and evapotranspiration. A cylindrical form trench, the soil percolation rate, and the hydraulic loading rate were considered for the infiltration area. The banana trees' evapotranspiration rate was taken into consideration for the evapotranspiration area. The proposed model was applied in a case study where we used a trench with 0.8 m depth and 1.5 m diameter. This study proposes a standard design criterion for the BTC based on environmental factors, and the scoping of the literature provides the basis for future studies to evaluate its environmental sustainability.

Cost-Effectiveness Analysis of Digital Breast Tomosynthesis and Mammography in Breast Cancer Screening: A Markov Modeling Study.

BACKGROUND: Mammography (MG) has demonstrated its effectiveness in diminishing mortality and advanced-stage breast cancer incidences in breast screening initiatives. Notably, research has accentuated the superior diagnostic efficacy and cost-effectiveness of digital breast tomosynthesis (DBT). However, the scope of evidence validating the cost-effectiveness of DBT remains limited, prompting a requisite for more comprehensive investigation. The present study aimed to rigorously evaluate the cost-effectiveness of DBT plus MG (DBT-MG) compared to MG alone within the framework of Taiwan's National Health Insurance program. METHODS: All parameters for the Markov decision tree model, encompassing event probabilities, costs, and utilities (quality-adjusted life years, QALYs), were sourced from reputable literature, expert opinions, and official records. With 10,000 iterations, a 2-year cycle length, a 30-year time horizon, and a 2% annual discount rate, the analysis determined the incremental cost-effectiveness ratio (ICER) to compare the cost-effectiveness of the two screening methods. Probabilistic and one-way sensitivity analyses were also conducted to demonstrate the robustness of findings. RESULTS: The ICER of DBT-MG compared to MG was US$5971.5764/QALYs. At a willingness-to-pay (WTP) threshold of US$33,004 (Gross Domestic Product of Taiwan in 2021) per QALY, more than 98% of the probabilistic simulations favored adopting DBT-MG versus MG. The one-way sensitivity analysis also shows that the ICER depended heavily on recall rates, biopsy rates, and positive predictive value (PPV2). CONCLUSION: DBT-MG shows enhanced diagnostic efficacy, potentially diminishing recall costs. While exhibiting a higher biopsy rate, DBT-MG aids in the detection of early-stage breast cancers, reduces recall rates, and exhibits notably superior cost-effectiveness.

Nonprescription Treatment Options.

The pathogenesis of atopic dermatitis (AD) is complex and multifactorial. However, recent advancements in the genetics and pathophysiology of AD suggest that epidermal barrier dysfunction is paramount in the development and progression of the condition (Boguniewicz M, Leung DYM, Immunol Rev 242(1):233-246, 2011). In addition to standard therapy for AD, there are a plethora of nonprescription treatment modalities which may be employed. Over-the-counter treatments for atopic dermatitis can come in the form of topical corticosteroids, moisturizers/emollients, and oral antihistamines. Though these treatments are beneficial, prescription treatments may be quicker acting and more efficacious in patients with moderate to severe disease or during flares. OTC agents are best used for maintenance between flares and to prevent progression of mild disease. Alternative and complementary treatments lack strong efficacy evidence. However, wet wraps, bleach baths, and other treatments appear to be promising when used in conjunction with conventional treatments. With the financial burden of atopic dermatitis ranging from 364 million to 3.8 billion dollars each year in the United States, we suspect this topic will gain further research attention.

Enhancing the Tensile Properties and Ductile-Brittle Transition Behavior of the EN S355 Grade Rolled Steel via Cost-Saving Processing Routes.

Structural rolled steels are the primary products of modern ferrous metallurgy. Consequently, enhancing the mechanical properties of rolled steel using energy-saving processing routes without furnace heating for additional heat treatment is advisable. This study compared the effect on the mechanical properties of structural steel for different processing routes, like conventional hot rolling, normalizing rolling, thermo-mechanically controlled processing (TMCP), and TMCP with accelerating cooling (AC) to 550 °C or 460 °C. The material studied was a 20 mm-thick sheet of S355N grade (EN 10025) made of low-carbon (V+Nb+Al)-micro-alloyed steel. The research methodology included standard mechanical testing and microstructure characterization using optical microscopy, scanning and transmission electronic microscopies, energy dispersive X-ray spectrometry, and X-ray diffraction. It was found that using different processing routes could increase the mechanical properties of the steel sheets from S355N to S550QL1 grade without additional heat treatment costs. TMCP followed by AC to 550 °C ensured the best combination of strength and cold-temperature resistance due to formation of a quasi-polygonal/acicular ferrite structure with minor fractions of dispersed pearlite and martensite/austenite islands. The contribution of different structural factors to the yield tensile strength and ductile-brittle transition temperature of steel was analyzed using theoretical calculations. The calculated results complied well with the experimental data. The effectiveness of the cost-saving processing routes which may bring definite economic benefits is concluded.

Prevention and Risk Assessment of Cardiac Device Infections in Clinical Practice.

The implantation of cardiac electronic devices (CIEDs), including pacemakers and defibrillators, has become increasingly prevalent in recent years and has been accompanied by a significant rise in cardiac device infections (CDIs), which pose a substantial clinical and economic burden. CDIs are associated with hospitalizations and prolonged antibiotic therapy and often necessitate device removal, leading to increased morbidity, mortality, and healthcare costs worldwide. Approximately 1-2% of CIED implants are associated with infections, making this a critical issue to address. In this contemporary review, we discuss the burden of CDIs with their risk factors, healthcare costs, prevention strategies, and clinical management.

Entrectinib as first-line vs. second-line therapy in ROS1 fusion-positive non-small cell lung cancer: a cost-effectiveness analysis.

Background: The concept of cost-effectiveness is crucial for the optimal allocation of scarce healthcare resources. However, the cost-effectiveness of entrectinib in ROS1 fusion-positive non-small cell lung cancer (NSCLC) has not been evaluated. We aim to evaluate the cost-effectiveness of entrectinib as a first-line treatment compared to its reservation for second-line therapy or the exclusive use of chemotherapy in ROS1 fusion-positive advanced NSCLC. Methods: A Markov model was created to assess the clinical outcomes and healthcare costs associated with these three treatment approaches. Cost and utility values were obtained from established literature and cost databases. To test model robustness, probabilistic and univariate sensitivity analyses were conducted. Results: In the first-line setting, where entrectinib was administered as the initial therapy, it yielded an extra 0.07 quality-adjusted life years (QALYs) at an incremental cost of $73,453, leading to an incremental cost-effectiveness ratio (ICER) of $1,090,594.30 per QALY compared to chemotherapy. Conversely, in the second-line setting, when entrectinib was used as a second-line therapy following chemotherapy, it provided an extra 0.11 QALYs at an incremental cost of $53,480, resulting in an ICER of $494,290.39 per QALY compared to chemotherapy. Furthermore, the analysis revealed that the cost of entrectinib and utility values of progressed disease were the most influential factors for the ICER. Conclusions: Considering the current pricing of entrectinib, it is not deemed cost-effective as a first-line or second-line therapy for patients with ROS1 fusion-positive advanced NSCLC when compared to chemotherapy. Alternatively, reserving entrectinib exclusively for second-line therapy might strike a balance between healthcare expenditures and patient outcomes.

Economics of Emergency Department Visits by Patients With Inflammatory Bowel Disease: A Real-World Analysis.

Background: Inflammatory bowel disease (IBD) is associated with significant psychosocial, economic, and physical burden on patients. IBD care in the United States results in significant healthcare expenditure with recurring emergency department (ED) care and hospital admissions. Despite advances in therapy and improved access to specialty care, there is still room for improvement in cost-efficient care. Specialty medical homes and interdisciplinary care models have emerged as ways to improve medical care, patient outcomes, and quality of life, as well as improve the impact of healthcare costs. There is limited real-world data on cost in the United States, with many articles citing cost estimates from models. Methods: We analyzed real-world data from our tertiary care center with a focus on recurrent ED visits by IBD patients. Descriptive statistics were used for a cost analysis of multiple ED visits by IBD patients. Patients with ≥4 visits to the ED in a 6-month period were described as SuperUsers and were included in a separate analysis. The cost of hospitalization was also included. Results: Total cost associated with all ED visits from SuperUsers were $72 999.57 with an average of $6636.32 per patient. When the patients were admitted, the total cost of ED visits and hospitalizations was $721 461.52, with an average of $65 587.41 per patient. Conclusions: ED utilization by IBD patients with or without hospitalization is expensive and is typically driven by a cohort of SuperUsers. More work needs to be done to improve cost-effectiveness in IBD care, including reducing the frequency of ED visits.

Understanding the financial aspects of digital pathology: A dynamic customizable return on investment calculator for informed decision-making.

Background: The adoption of digital pathology has transformed the field of pathology, however, the economic impact and cost analysis of implementing digital pathology solutions remain a critical consideration for institutions to justify. Digital pathology implementation requires a thorough evaluation of associated costs and should identify and optimize resource allocation to facilitate informed decision-making. A dynamic cost calculator to estimate the financial implications of deploying digital pathology systems was needed to estimate the financial effects on transitioning to a digital workflow. Methods: A systematic approach was used to comprehensively assess the various components involved in implementing and maintaining a digital pathology system. This consisted of: (1) identification of key cost categories associated with digital pathology implementation; (2) data collection and analysis of cost estimation; (3) cost categorization and quantification of direct and indirect costs associated with different use cases, allowing customization of each factor based on specific intended uses and market rates, industry standards, and regional variations; (4) opportunities for savings realized by digitization of glass slides and (5) integration of the cost calculator into a unified framework for a holistic view of the financial implications associated with digital pathology implementation. The online tool enables the user to test various scenarios specific to their institution and provides adjustable parameters to assure organization specific relatability. Results: The Digital Pathology Association has developed a web-based calculator as a companion tool to provide an exhaustive list of the necessary concepts needed when assessing the financial implications of transitioning to a digital pathology system. The dynamic return on investment (ROI) calculator successfully integrated relevant cost and cost-saving components associated with digital pathology implementation and maintenance. Considerations include factors such as digital pathology infrastructure, clinical operations, staffing, hardware and software, information technology, archive and retrieval, medical-legal, and potential reimbursements. The ROI calculator developed for digital pathology workflows offers a comprehensive, customizable tool for institutions to assess their anticipated upfront and ongoing annual costs as they start or expand their digital pathology journey. It also offers cost-savings analysis based on specific user case volume, institutional geographic considerations, and actual costs. In addition, the calculator also serves as a tool to estimate number of required whole slide scanners, scanner throughput, and data storage (TB). This tool is intended to estimate the potential costs and cost savings resulting from the transition to digital pathology for business plan justifications and return on investment calculations. Conclusions: The digital pathology online cost calculator provides a comprehensive and reliable means of estimating the financial implications associated with implementing and maintaining a digital pathology system. By considering various cost factors and allowing customization based on institution-specific variables, the calculator empowers pathology laboratories, healthcare institutions, and administrators to make informed decisions and optimize resource allocation when adopting or expanding digital pathology technologies. The ROI calculator will enable healthcare institutions to assess the financial feasibility and potential return on investment on adopting digital pathology, facilitating informed decision-making and resource allocation.