scholarly journals OMFM: A Framework of Object Merging Based on Fuzzy Multisets

2014 ◽  
Vol 2014 ◽  
pp. 1-15
Author(s):  
Lin Yue ◽  
Wanli Zuo ◽  
Lizhou Feng ◽  
Lin Guo
Keyword(s):  
Information Fusion ◽  
Multiagent System ◽  
Group Decision ◽  
Quality Measures ◽  
Semantic Relations ◽  
Fundamental Operation ◽  
Mapping Data ◽  
Multiple Sources ◽  
Multidocument Summarization

Information fusion is a process of merging information from multiple sources into a new set of information. Existing work on information fusion is applicable in various scenarios such as multiagent system, group decision making, and multidocument summarization. This paper intends to develop an effective framework to solve object merging problem based on fuzzy multisets. The objects defined in this paper are data segments in document fusion task, referring to the concepts with semantic-related terms of different semantic relations embedded. The fundamental operation is the merge function mapping data segments in multiple fuzzy multisets onto one object, which is a solution. Under this framework, we define quality measures of purity and entropy to quantify the quality of the solutions, balancing accurateness, and completeness of the results. Merge function that yields this kind of solutions is VI-optimal merge function and a series of theoretical properties concerning it are studied. Finally, we investigate the proposed framework in a special application scenario (i.e., document fusion) which is related to the task of multidocument summarization and show how the framework works with illustrative example.

POLARYZACJA GRUPOWA W WARUNKACH DEBATY DELIBERATYWNEJ

2014 ◽  
Vol 2 (2) ◽  
pp. 19-29
Author(s):  
Elżbieta Wesołowska
Keyword(s):  
Social Psychology ◽  
John Rawls ◽  
Empirical Data ◽  
Group Decision ◽  
Group Discussion ◽  
Positive Outcomes ◽  
Group Consensus ◽  
Group Polarization ◽  
Normative Requirements

In social psychology the group polarization refers to the tendency for groups to make decisionsthat are more extreme than the initial inclinations of its members. This phenomenon constitutesa potential obstacle to positive outcomes attributed to deliberative debates. A deliberative debateis a particular kind of a group discussion tasked with fi nding group consensus on controversialissues. The idea of deliberation originates from the writings of John Rawls, Jürgen Habermas, AmyGutmann and Denis Thompson. Deliberative debate imposes numerous normative requirementson the communication, relationships among the disputants and their approach to the issue underdiscussion. These normative requirements make a big difference between deliberative debates andthe situations in which the phenomenon of polarization was observed. Thus, we presume that indeliberative debates conditions the phenomenon of group polarization may be limited.The paper investigates the following questions: would the normative conditions of deliberationlimit the occurrence of polarization in discussing groups? and What infl uence (if any) would thepolarization process have on the quality of group decision? In the light of the empirical data we concluded what follows: (1) In 50% of the analyzed casesof group discussion the phenomenon of group polarization was observed despite the normativeconditions of deliberation. (2) The occurrence of group polarization in some cases coincided withmaking the fi nal decisions which did not alter the initial preferences of the disputants (but did nottotally predestinated the fi nal outcome).

FRI0524 THE ACR’S RHEUMATOLOGY INFORMATICS SYSTEM FOR EFFECTIVENESS (RISE) REGISTRY SUPPORTS SMALL RHEUMATOLOGY PRACTICES FOR FEDERAL QUALITY REPORTING PROGRAM

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 861-862
Author(s):  
Z. Izadi ◽  
T. Johansson ◽  
J. LI ◽  
G. Schmajuk ◽  
J. Yazdany
Keyword(s):  
Quality Measures ◽  
Quality Reporting ◽  
Practice Characteristics ◽  
Informatics System ◽  
Group Practices ◽  
Status Assessment ◽  
And Performance ◽  
Reporting Programs

Background:The Rheumatology Informatics System for Effectiveness (RISE) Registry was developed by the ACR to help rheumatologists improve quality of care and meet federal reporting requirements. In the current quality program administered by the U.S. Centers for Medicare and Medicaid services, rheumatologists are scored on quality measures, and performance is tied to financial incentives or penalties. Rheumatoid arthritis (RA)-specific quality measures can only be submitted through RISE to federal programs.Objectives:This study used data from the RISE registry to investigate rheumatologists’ federal reporting patterns on five RA-specific quality measures in 2018 and investigated the effect of practice characteristics on federal reporting of these measures.Methods:We analyzed data on all rheumatologists who continuously participated in RISE between Jan 2017 to Dec 2018 and who had patients eligible for at least one RA-specific measure. Five measures were examined: tuberculosis screening before biologic use, disease activity assessment, functional status assessment, assessment and classification of disease prognosis, and glucocorticoid management. We assessed whether or not rheumatologists reported specific quality measures via RISE. We investigated the effect of practice characteristics (practice structure; number of providers; geographic region) on the likelihood of reporting using adjusted analyses that controlled for measure performance (performance in 2018; change in performance from 2017; and performance relative to national average performance). Analyses accounted for clustering by practice.Results:Data from 799 providers from 207 practices managing 213,757 RA patients was examined. The most common practice structure was a single-specialty group practice (53%), followed by solo (28%) and multi-specialty group practice (12%). Most providers (73%) had patients eligible for all five RA quality measures. Federal reporting of quality measures through RISE varied significantly by provider, ranging from no reporting (60%) to reporting all eligible RA measures (12.2%). Reporting through RISE also varied significantly by quality measure and was highest for functional status assessment (36%) and lowest for assessment and classification of disease prognosis (20%). Small practices (1-4 providers) were more likely to report all eligible RA quality measures compared to larger practices (21%, 6%; p<0.001). In adjusted analyses, solo practices were more likely than single-specialty group practices to report RA measures (42%, 31%; p<0.027) while multispecialty group practices were less likely (18%, 31%; p<0.001). Additionally, higher performance in 2018 and performance ≥ the national average performance was associated with federal reporting of the measures through RISE (p≤0.004).Conclusion:Forty percent of U.S. rheumatologists participating in RISE used the registry for federal quality reporting. Physicians using RISE for reporting were disproportionately in small and solo practices, suggesting that the registry is fulfilling an important role in helping these practices participate in national quality reporting programs. Supporting small practices is especially important given the workforce shortages in rheumatology. We observed that practices reporting through RISE had higher measure performance than other participating practices, which suggests that the registry is facilitating quality improvement. Studies are ongoing to further investigate the impact of federal quality reporting programs and RISE participation on the quality of rheumatologic care in the United States.Disclaimer: This data was supported by the ACR’s RISE Registry. However, the views expressed represent those of the authors, not necessarily those of the ACR.Disclosure of Interests:Zara Izadi: None declared, Tracy Johansson: None declared, Jing Li: None declared, Gabriela Schmajuk Grant/research support from: Pfizer, Jinoos Yazdany Grant/research support from: Pfizer

National benchmarks and practice level variation on eight cross cutting quality measures.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 255-255
Author(s):  
Tracy E. Spinks ◽  
Lindsey Bandini ◽  
Amie Cook ◽  
Hong Gao ◽  
Nicholas Jennings ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Performance Status ◽  
Gynecologic Oncology ◽  
Quality Measures ◽  
Surgical Oncology ◽  
Small Sample ◽  
Prior Authorization ◽  
Level Variation ◽  
Practice Level

255 Background: While there is increased attention on the importance of quality measurement in oncology, especially with the rise of value-based payment, limited data exist on national averages and practice level variation for proposed quality measures to establish benchmarks and targets for quality improvement initiatives or value-based contracts. Methods: UnitedHealthcare (UHC) developed peer comparison reports for eight cross cutting quality measures for practices with an active contract for at least one of its commercial, Medicare or Medicaid health plans and ≥1 provider from the following specialties: gynecologic oncology, hematology/oncology, pediatric hematology/oncology, radiation oncology, or surgical oncology. Adherence to the quality measures below was calculated using a mix of claims data, clinical data from a prior authorization for cancer therapy, and CMS MIPS data. Patients were attributed through an algorithm that selected the most probable physician responsible for the patient’s care - responsible prior authorization provider, servicing provider or most recent visited provider prior to the treatment, varying by each measure. Dates of service differ by measure, ranging from 1/1/2019 through 12/31/2020. Results: We identified 5,828 unique tax identification numbers (TINs) with UHC members with cancer attributed to them during 2019-20. The number of practices included in the measurement cohort per measure varied significantly from 301 to 4,120 (tobacco screening and performance status, respectively). 2,422 TINs met the minimum patient count for at least one measure (≥10 patients or events). Overall performance ranged from 13.5% to 77.3% (hospice admission and PS documented) for measures where higher adherence reflects better quality of care. For measures where lower scores represent higher quality of care the range was 11.4% to 22.6% (hospice < 3 days and ED admission, respectively). Observed adherence was statistically better than expected for 0.5%-5.8% and statistically less than expected for 0.9%-5.6% of TINs in UHC’s network; however, more than half of the practices had insufficient sample size to make a determination. Conclusions: We observed substantial variation in quality across a national cohort of oncology practices. However, even for a large national payer, small sample sizes limited the assessment of a substantial number of practices.[Table: see text]

Vision-Based Precision Deburring and Edge Breaking Process Quality Control

2020 ◽  
Author(s):  
Kartik Gupta ◽  
Cindy Grimm ◽  
Burak Sencer ◽  
Ravi Balasubramanian
Keyword(s):  
Computer Vision ◽  
Quality Control ◽  
Vision System ◽  
Quality Measures ◽  
Cad Model ◽  
Computer Vision System ◽  
Part Geometry ◽  
Specialized Hardware ◽  
Original Part

Abstract This paper presents a computer vision system for evaluating the quality of deburring and edge breaking on aluminum and steel blocks. This technique produces both quantitative (size) and qualitative (quality) measures of chamfering operation from images taken with an off-the-shelf camera. We demonstrate that the proposed computer vision system can detect edge chamfering geometry within a 1–2mm range. The proposed technique does not require precise calibration of the camera to the part nor specialized hardware beyond a macro lens. Off-the-shelf components and a CAD model of the original part geometry are used for calibration. We also demonstrate the effectiveness of the proposed technique on edge breaking quality control.

Abstract 3023: The Association of Insurance Status, Quality of Care, and In-Hospital Outcomes among Patients Hospitalized with Intracerebral Hemorrhage: Findings from GWTG-Stroke

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Michael L James ◽  
Julian P Yand ◽  
Maria Grau-Sepulveda ◽  
DaiWai M Olson ◽  
Deepak L Bhatt ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Length Of Stay ◽  
Intracerebral Hemorrhage ◽  
Reference Group ◽  
Private Insurance ◽  
Quality Measures ◽  
Geographic Region ◽  
Insurance Status ◽  
Hospital Outcomes

Introduction Intracerebral hemorrhage (ICH) can be a devastating condition, requiring intensive intervention. Yet, few studies have examined whether patient insurance status is associated with ICH care or acute outcomes. Methods Using data from 1,711 sites participating in GWTG-Stroke database from April 2003 to April 2011, we identified 156,848 non-transferred subjects with ICH who had known discharge status. Insurance status was categorized as private, Medicaid, Medicare or none. We explored associations between lack of insurance (using private insurance status as the reference group) and in-hospital outcomes (mortality, ambulatory status, & length of stay) and quality of care measures (DVT prophylaxis, smoking cessation, dysphagia screening, stroke education, imaging times, & rehabilitation). We utilized multiple individual (including demographics and medical history) and hospital (including size, geographic region and academic teaching status)lcharacteristics as covariates. Results Subjects without insurance (n=10647) were younger (54.4 v. 71 years), more likely men (60.6 v. 50.8%), more likely black (33.2 v. 17.4%) or Hispanic (15.8 v. 7.9%), from the South (50.6 v. 38.9%), and had fewer vascular risk factors with the exception of smoking when compared with the overall subject population. Further, subjects without insurance were more likely to experience in-hospital mortality (25.9 v. 23.9%; adjusted OR 1.29) and longer length of stay (11.4 v. 7.8 days), but were more likely to receive all quality measures of care, be discharged home (52.1 v. 36.1%), and ambulate independently (47.5 v. 38.5%) at discharge compared with subjects with private insurance (n=40033). Conclusions Among GWTG-Stroke participating hospitals, ICH patients without insurance were more likely to die while in the hospital but experienced higher quality measures of care and were more likely to ambulate independently at discharge should they survive.

scholarly journals Longitudinal Impact of APRNs on Nursing Home Quality Measures in the Missouri Quality Initiative

2021 ◽  
Author(s):  
Marilyn Rantz ◽  
G. F. Petroski ◽  
L. L. Popejoy ◽  
A. A. Vogelsmeier ◽  
K. E. Canada ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Phase 1 ◽  
Quality Measures ◽  
The State ◽  
Full Time ◽  
Improve Quality ◽  
Phase 2 ◽  
Intervention Phase ◽  
Tract Infections

Abstract Objectives To measure the impact of advanced practice nurses (APRNs) on quality measures (QM) scores of nursing homes (NHs) in the CMS funded Missouri Quality Initiative (MOQI) that was designed to reduce avoidable hospitalizations of NH residents, improve quality of care, and reduce overall healthcare spending. Design A four group comparative analysis of longitudinal data from September 2013 thru December 2019. Setting NHs in the interventions of both Phases 1 (2012–2016) and 2 (2016–2020) of MOQI (n=16) in the St. Louis area; matched comparations in the same counties as MOQI NHs (n=27); selected Phase 2 payment intervention NHs in Missouri (n=24); NHs in the remainder of the state (n=406). Participants NHs in Missouri Intervention: Phase 1 of The Missouri Quality Initiative (MOQI), a Centers for Medicare and Medicaid (CMS) Innovations Center funded research initiative, was a multifaceted intervention in NHs in the Midwest, which embedded full-time APRNs in participating NHs to reduce hospitalizations and improve care of NH residents. Phase 2 extended the MOQI intervention in the original intervention NHs and added a CMS designed Payment Intervention; Phase 2 added a second group of NHs to receive the Payment. Intervention Only. Measurements Eight QMs selected by CMS for the Initiative were falls, pressure ulcers, urinary tract infections, indwelling catheters, restraint use, activities of daily living, weight loss, and antipsychotic medication use. For each of the monthly QMs (2013 thru 2019) an unobserved components model (UCM) was fitted for comparison of groups. Results The analysis of QMs reveals that that the MOQI Intervention + Payment group (group with the embedded APRNs) outperformed all comparison groups: matched comparison with neither intervention, Payment Intervention only, and remainder of the state. Conclusion These results confirm the QM analyses of Phase 1, that MOQI NHs with full-time APRNs are effective to improve quality of care.

scholarly journals MULTIAGENT SYSTEM OF FORECASTING OF CHAOTIC PROCESSES ON THE BASIS OF STATISTICAL EXTRAPOLATORS

2021 ◽  
Vol 56 ◽  
pp. 65-71
Author(s):  
Alexander A. Musaev ◽  
◽  
Andrey V. Gaikov ◽  
Keyword(s):  
Multiagent Systems ◽  
Chaotic System ◽  
Multiagent System ◽  
Intelligent Agent ◽  
System Component ◽  
Stationary Processes ◽  
Retrospective Data ◽  
System State ◽  
Generation Algorithm

The problem of the of a non-stationary system state predicting is considered. The decision based on the joint processing of the results obtained by a group of independent statistical extrapolators. In the terminology of multiagent systems, each extrapolator is an intelligent agent. The quality of the agent solutions is evaluated on retrospective data and is used as weight characteristic in the problem of a terminal solution estimation. The specificity of non-stationary processes with a chaotic system component leads to the empiricca version of the forecast generation algorithm

Grid Quality Measures for PEBI Grids

2021 ◽  
Author(s):  
Ilya Mishev ◽  
Ruslan Rin
Keyword(s):  
Flow Behavior ◽  
Quality Measures ◽  
Approximation Properties ◽  
Approximation Quality ◽  
Flux Approximation ◽  
The Matrix ◽  
Eventual Loss ◽  
Dynamic Measures ◽  
The Impact

Abstract Combining the Perpendicular Bisector (PEBI) grids with the Two Point Flux Approximation (TPFA) scheme demonstrates a potential to accurately model on unstructured grids, conforming to the geological and engineering features of real grids. However, with the increased complexity and resolution of the grids, the PEBI conditions will inevitably be violated in some cells and the approximation properties will be compromised. The objective is to develop accurate and practical grid quality measures that quantify such errors. We critically evaluated the existing grid quality measures and found them lacking predictive power in several areas. The available k-orthogonality measures predict error for flow along the strata, although TPFA provides an accurate approximation. The false-positive results are not only misleading but can overwhelm further analysis. We developed the so-called "truncation error" grid measure which is probably the most accurate measure for flow through a plane face and accurately measures the error along the strata. We also quantified the error due to the face curvature. Curved faces are bound to exist in any real grid. The impact of the quality of the 2-D Delaunay triangulation on TPFA approximation properties is usually not taken into account. We investigate the impact of the size of the smallest angles that can cause considerable increase of the condition number of the matrix and an eventual loss of accuracy, demonstrated with simple examples. Based on the analysis, we provide recommendations. We also show how the size of the largest angles impacts the approximation quality of TPFA. Furthermore, we discuss the impact of the change of the permeability on the TPFA approximation. Finally, we present simple tools that reservoir engineers can use to incorporate the above-mentioned grid quality measures into a workflow. The grid quality measures discussed up to now are static. We also sketch the further extension to dynamic measures, that is, how the static measures can be used to detect change in the flow behavior, potentially leading to increased error. We investigate a comprehensive set of methods, several of them new, to measure the static grid quality of TPFA on PEBI grids and possible extension to dynamic measures. All measures can be easily implemented in production reservoir simulators and examined using the suggested tools in a workflow.

A Systematic Evaluation of a Soccer Club's College Advisory Program

2015 ◽  
pp. 211-243
Author(s):  
Seung Youn (Yonnie) Chyung ◽  
Stacey E. Olachea ◽  
Colleen Olson ◽  
Ben Davis
Keyword(s):  
Formative Evaluation ◽  
Opportunity To Learn ◽  
Evaluation Process ◽  
Systematic Evaluation ◽  
Multiple Sources ◽  
Advisory Program ◽  
Evaluation Team ◽  
Five Dimensions ◽  
External Evaluators

The College Advisory Program offered by Total Vision Soccer Club aims at providing young players with the opportunity to learn how to navigate the collegiate recruiting process, market themselves to college coaches, and increase their exposure to potential colleges and universities. A team of external evaluators (authors of this chapter) conducted a formative evaluation to determine what the program needs to do to reach its goal. By following a systemic evaluation process, the evaluation team investigated five dimensions of the program and collected data by reviewing various program materials and conducting surveys and interviews with players and their parents, upstream stakeholders, and downstream impactees. By triangulating the multiple sources of data, the team drew a conclusion that most program dimensions were rated as mediocre although the program had several strengths. The team provided evidence-based recommendations for improving the quality of the program.

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