A real-world example of deploying an advanced public transport data management solution to deliver proven higher quality travel information, at the same time reducing the cost of its delivery

Author(s):  
J. Wiggin ◽  
G. Umpleby
Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1043-P
Author(s):  
JENNIFER E. LAYNE ◽  
JIALUN HE ◽  
JAY JANTZ ◽  
YIBIN ZHENG ◽  
ERIC BENJAMIN ◽  
...  

Author(s):  
Marcus Shaker ◽  
Edmond S. Chan ◽  
Jennifer LP. Protudjer ◽  
Lianne Soller ◽  
Elissa M. Abrams ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e19551-e19551
Author(s):  
Hongbo Yang ◽  
Cynthia Zhengyun Qi ◽  
Anand Dalal ◽  
Vamsi Bollu ◽  
Jie Zhang ◽  
...  

e19551 Background: The AE rates and HRU reported in multiple real-world evidence (RWE) studies of chimeric antigen receptor T-cell (CAR-T) therapies tisa-cel and axi-cel in r/r DLBCL have differed from those in their clinical trials. However, the cost implications from these findings are not well understood in existing literature. This study summarizes information from these RWE studies of tisa-cel and axi-cel and quantifies the associated costs. Methods: A literature review was conducted to identify RWE studies reporting AE rates and HRU of tisa-cel and axi-cel in the United States (US). AE rates and HRU were summarized and the associated costs were estimated using a micro-costing approach. Costs of AE management included hospitalization and pharmacy costs, such as intensive care unit (ICU) stays, inpatient admissions, and medications for the treatment of cytokine release syndrome (CRS) and neurotoxicity events (NE). HRU costs included hospitalization, ICU stays, and outpatient visit costs. Unit costs were from public health databases that are representative of US healthcare system and from literature. Costs were inflated to 2020 US dollars. A range was reported to present evidence if inputs are available from multiple studies. Results were summarized for tisa-cel and axi-cel separately. Results: Four publications were identified: Jaglowski 2019, Pasquini 2019, Riedell 2019, and Jacobson 2020. Across studies, grade 3+ CRS and NE occurred in 1%-4% and 0%-5% of tisa-cel-treated patients and 7%-16% and 20%-35% of axi-cel-treated patients, respectively. Tocilizumab usage was reported in 14%-20% of tisa-cel- and 62%-71% of axi-cel-treated patients. CAR-T infusion was inpatient for 36% of tisa-cel- and 92%-100% of axi-cel-treated patients. The median hospitalization days was 2 for tisa-cel and 15-16 for axi-cel. ICU transfer was observed for 7% and 28%-38% of tisa-cel- and axi-cel-treated patients, respectively, with median stays of 4 and 5 days, respectively. The median number of outpatient visits within 28 days after infusion was 6 for tisa-cel and 4 for axi-cel. The total estimated costs for managing AEs per patient were $843-$1,962 for tisa-cel and $5,979-$10,878 for axi-cel. The total estimated HRU costs per patient were $3,321 for tisa-cel and $32,394-33,166 for axi-cel. Conclusions: RWE studies suggest that patients with r/r DLBCL receiving tisa-cel had numerically lower AE rates, HRU, and cost burden than those receiving axi-cel in the US. The additional cost burden for axi-cel was primarily driven by the incremental ICU and hospitalization care due to a higher proportion of inpatient infusion among patients receiving axi-cel. Further research is warranted to compare the costs associated with the two CAR-Ts in r/r DLBCL.


Author(s):  
Roman Bresson ◽  
Johanne Cohen ◽  
Eyke Hüllermeier ◽  
Christophe Labreuche ◽  
Michèle Sebag

Multi-Criteria Decision Making (MCDM) aims at modelling expert preferences and assisting decision makers in identifying options best accommodating expert criteria. An instance of MCDM model, the Choquet integral is widely used in real-world applications, due to its ability to capture interactions between criteria while retaining interpretability. Aimed at a better scalability and modularity, hierarchical Choquet integrals involve intermediate aggregations of the interacting criteria, at the cost of a more complex elicitation. The paper presents a machine learning-based approach for the automatic identification of hierarchical MCDM models, composed of 2-additive Choquet integral aggregators and of marginal utility functions on the raw features from data reflecting expert preferences. The proposed NEUR-HCI framework relies on a specific neural architecture, enforcing by design the Choquet model constraints and supporting its end-to-end training. The empirical validation of NEUR-HCI on real-world and artificial benchmarks demonstrates the merits of the approach compared to state-of-art baselines.


Author(s):  
Qiushui Fang ◽  
Zhingming Li ◽  
Zhen Wang ◽  
Jincheng Wu ◽  
Hongling Yu ◽  
...  

Public transport coverage fails to keep pace with urbanization and urban expansion, which makes the “last kilometer" problem of residents’ travel increasingly prominent”. However, the practice has proved that microcirculation public transportation plays an important role in expanding the coverage of public transportation and promoting the integration of public transportation. Therefore, this paper takes a city bus community as an example. Firstly, it analyses the bus travel demand of commuters connecting to the subway station during the early workday rush hours on basis of IC Big Data, obtains candidate stations of microcirculation bus lines through K-means clustering. Secondly, it establishes the model, the target of which is to minimize  the cost residents' travel and bus operation, under the limited condition of walking distance, passenger number, station spacing and departure frequency. Finally, the genetic algorithm is used to find the optimal solution of the model, so it’s no doubt that the most feasible circular bus route is obtained. The results have positive significance for promoting the construction and operation of public transport integration and promoting the convenience and efficiency of public transport travel. 


BMJ Open ◽  
2015 ◽  
Vol 5 (5) ◽  
pp. e006535-e006535 ◽  
Author(s):  
T. Butt ◽  
A. Lee ◽  
C. Lee ◽  
A. Tufail ◽  
W. Xing ◽  
...  

2021 ◽  
Vol 14 (6) ◽  
pp. 997-1005
Author(s):  
Sandeep Tata ◽  
Navneet Potti ◽  
James B. Wendt ◽  
Lauro Beltrão Costa ◽  
Marc Najork ◽  
...  

Extracting structured information from templatic documents is an important problem with the potential to automate many real-world business workflows such as payment, procurement, and payroll. The core challenge is that such documents can be laid out in virtually infinitely different ways. A good solution to this problem is one that generalizes well not only to known templates such as invoices from a known vendor, but also to unseen ones. We developed a system called Glean to tackle this problem. Given a target schema for a document type and some labeled documents of that type, Glean uses machine learning to automatically extract structured information from other documents of that type. In this paper, we describe the overall architecture of Glean, and discuss three key data management challenges : 1) managing the quality of ground truth data, 2) generating training data for the machine learning model using labeled documents, and 3) building tools that help a developer rapidly build and improve a model for a given document type. Through empirical studies on a real-world dataset, we show that these data management techniques allow us to train a model that is over 5 F1 points better than the exact same model architecture without the techniques we describe. We argue that for such information-extraction problems, designing abstractions that carefully manage the training data is at least as important as choosing a good model architecture.


2021 ◽  
Vol 20 (10) ◽  
pp. 1861-1873
Author(s):  
Vasilii S. DOSIKOV ◽  
Viktor A. KALMYKOV

Subject. The article addresses the prospective development of the civil shipbuilding sector in Russia. It considers digitalization of design, construction and production as a key driver of increasing the labor productivity at enterprises and organizations of the industry. Objectives. The aim is to present a conceptual model of a digital network-centric data management system for calculating the cost of works (services) performed (provided) by design organizations in the national civil shipbuilding, as a promising tool to improve the efficiency of cost estimation in the industry. Methods. We employ generally accepted methods of scientific knowledge, like analysis, synthesis, formalization and concretization, composition and decomposition, verification and expert evaluation. Results. We formulated and described a model of digital network-centric data management system. It consists of two elements, i.e. a centralized server management system for a cluster database and a client complex. The latter contains a personal calculation module, which is customizable for the needs of the organization, and a local (personal) database. Conclusions. If implemented, the presented conceptual model will enable a new level quality, speed, and accuracy of cost estimates of designed objects, as well as more effective accumulation and processing of relevant data for management decisions.


Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Elizabeth Baraban ◽  
Richard Nelson ◽  
Alexandra Lesko ◽  
Jennifer Majersik ◽  
Archit Bhatt ◽  
...  

Objective: An obstacle for community hospitals in joining a telestroke network is often the cost of implementation. Yet, previous analyses examining the cost and cost-effectiveness have only used estimates from the literature. Using real-world data from a Pacific Northwest telestroke network, we examined the cost-effectiveness of telestroke for spokes by level of financial responsibility for these costs and how this changes with patient stroke severity. Methods: We constructed a decision analytic model and parameterized it using patient-level clinical and financial data from the Providence Telestroke Network (PTN) pre and post telestroke implementation. Data included patients presenting at 17 spokes within 4.5 hours of symptom onset. Probability inputs included observed IV-tPA treatment rates, transfer status and hospital costs and reimbursements. Effectiveness, measured as quality-adjusted life years (QALYs), and cost per patient were used to calculate incremental cost effectiveness ratios (ICERs). ICER’s of <$50,000-$120,000/QALY are considered cost-effective. Outcomes were generated overall and separately by admit NIHSS, defined as low (0-10), medium (11-20) and high (>20) and percentage of implementation costs paid by spokes (0%, 50%, 100%). Results: Data for 594 patients, 105 pre- and 489 post-implementation, were included. See Table 1. Conclusions: Our results support previous theoretic models showing good value, overall. However, costs and ICERs varied by stroke severity, with telestroke being most cost-effective for severe strokes. Telestroke was least cost effective if spokes paid for half or more of implementation costs.


Author(s):  
Suzanne Tsacoumis

High fidelity measures have proven to be powerful tools for measuring a broad range of competencies and their validity is well documented. However, their high-touch nature is often a deterrent to their use due to the cost and time required to develop and implement them. In addition, given the increased reliance on technology to screen and evaluate job candidates, organizations are continuing to search for more efficient ways to gather the information they need about one's capabilities. This chapter describes how innovative, interactive rich-media simulations that incorporate branching technology have been used in several real-world applications. The main focus is on describing the nature of these assessments and highlighting potential solutions to the unique measurement challenges associated with these types of assessments.


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