scholarly journals Triple Aim Is Triply Tough:

2018 ◽  
Vol 50 (3) ◽  
pp. 179-187 ◽  
Author(s):  
Katrina E. Donahue ◽  
Alfred Reid ◽  
Elizabeth G. Baxley ◽  
Charles Carter ◽  
Peter J. Carek ◽  
...  
Keyword(s):  
South Carolina ◽  
Patient Experience ◽  
Teaching Practices ◽  
Large Scale ◽  
Emergency Department Visits ◽  
Triple Aim ◽  
Health Care Improvement ◽  
Report Data ◽  
Care Improvement ◽  
Future Work

Background and Objectives: The I3 POP Collaborative sought to improve health of patients attending North Carolina, South Carolina, and Virginia primary care teaching practices using the triple aim framework of better quality, appropriate utilization, and enhanced patient experience. We examined change in triple aim measures over 3 years, and identified correlates of improvement. Methods: Twenty-nine teaching practices representing 23 residency programs participated. The Institute for Health Care Improvement Breakthrough Series Collaborative model was tailored to focus on at least one triple aim goal and programs submitted data annually on all collaborative measures. Outcome measures included quality (chronic illness, prevention); utilization (hospitalization, emergency department visits, referrals) and patient experience (access, continuity). Participant interviews explored supports and barriers to improvement. Results: Six of 29 practices (21%) were unable to extract measures from their electronic health records (EHR). All of the remaining 23 practices reported improvement in at least one measure, with 11 seeing at least 10% improvement; seven (24%) improved measures in all three triple aim areas, with two experiencing at least 10% improvement. Practices with a greater number of patient visits were more likely to show improved measures (odds ratio [OR] 10.8, 95% confidence interval [CI]: .68-172.2, P=0.03). Practice interviews revealed that engaged leadership and systems supports were more common in higher performing practices. Conclusions: Simultaneous attainment of improvement in all three triple aim goals by teaching practices is difficult. I3 POP practices that were able to pull and report data improved on at least one measure. Future work needs to focus on cultivating leadership and systems supporting large scale improvement.

scholarly journals Evaluation of Patient Experience During Virtual and In-Person Urgent Care Visits: Time and Cost Analysis

2021 ◽  
Vol 8 ◽  
pp. 237437352098148
Author(s):  
Saif Khairat ◽  
Xi Lin ◽  
Songzi Liu ◽  
Zhaohui Man ◽  
Tanzila Zaman ◽  
...  
Keyword(s):  
Patient Experience ◽  
Care Delivery ◽  
Turnaround Time ◽  
Cross Sectional Study ◽  
Emergency Department Visits ◽  
Urgent Care ◽  
Cross Sectional ◽  
Significant Difference ◽  
Virtual Visits ◽  
One Year

Urgent care (UC) is one of the fastest growing venues of health care delivery for nonemergent conditions. This study compared the patient experience during virtual and in-person urgent care visits. We conducted a cross-sectional study of patients with the same diagnosis during Virtual Urgent Care (VUC) and in-person UC visits with the same diagnosis with regard to time and cost over a period of one year. We recorded and analyzed 16 685 urgent care visits: In-person UC (n = 14 734), VUC (n = 1262). Significant differences were found in the average total time for a visit in an in-person UC (70.89 minutes), and VUC (9.38 minutes). The average total cost of VUC ($49) and in-person UC ($142.657) differed significantly. Significant difference was found between UC turnaround time and VC turnaround time (Dependent variable (DV): 53.77, P < .01). We found significant differences in cost and time between in favor of virtual visits. Our findings suggest additional policy reform to expand the use of virtual care among target populations to improve access, reduce costs, meet the needs of patients, and reduce emergency department visits.

scholarly journals The triple aim of clinical research

2021 ◽  
pp. 174077452110015
Author(s):  
E Ray Dorsey ◽  
Karl Kieburtz
Keyword(s):  
Health Care ◽  
Clinical Research ◽  
Population Health ◽  
Patient Experience ◽  
Triple Aim ◽  
Per Capita ◽  
The Individual

The proposed triple aim of health care—enhanced patient experience, improved population health, and reduced per capita costs—can be applied to clinical research. A triple aim for clinical research would (1) improve the individual research participant’s experience; (2) promote the health of populations; and (3) reduce per capita costs of clinical research. Such an approach is possible by designing trials around the needs of participants rather than sites, embracing digital measures of health, and advancing decentralized studies. Recent studies, including those evaluating therapies for COVID-19, have demonstrated the value of such an approach. Accelerating the adoption of these methods can help fulfill this new triple aim of clinical research.

Flexibility Effects in a Single Link Robotic Manipulator

1993 ◽  
Author(s):  
C. Nataraj
Keyword(s):  
Large Scale ◽  
Robotic Manipulator ◽  
Flexible Beam ◽  
Rotating Speed ◽  
Weighted Residuals ◽  
Individual Interaction ◽  
Single Link ◽  
Rigid Mass ◽  
The Individual ◽  
Future Work

Abstract A single link robotic manipulator is modeled as a rotating flexible beam with a rigid mass at the tip and accurate energy expressions are derived. The resulting partial differential equations are solved using an approximate method of weighted residuals. From the solutions, coupling between axial and flexural deformations and the interactions with rigid body motions are rigorously analyzed. The emphasis in the current paper is not on an exhaustive analysis of existing systems but it is rather intended to compare and highlight the various flexibility effects in a relatively simple system. Hence, a nondimensional parametric analysis is performed to determine the effect of several parameters (including the rotating speed) on the errors and the individual interaction effects are discussed. Comparison with previous work in the field shows important phenomena often ignored or buried in large scale numerical analyses. Future work including application to multi-link robots is outlined.

Research and industrialisation of Hermetia illucens L. in China

2020 ◽  
Vol 6 (1) ◽  
pp. 5-12
Author(s):  
J.B. Zhang ◽  
J.K. Tomberlin ◽  
M.M. Cai ◽  
X.P. Xiao ◽  
L.Y. Zheng ◽  
...  
Keyword(s):  
Large Scale ◽  
Organic Waste ◽  
Animal Feed ◽  
Egg Laying ◽  
Breeding Method ◽  
Hermetia Illucens ◽  
Cold Temperatures ◽  
The Usa ◽  
The Government ◽  
Future Work

The larvae of the black soldier fly (BSF), Hermetia illucens L., are commonly associated with decaying organic wastes. Over the past 15 years, investigators in China have conducted extensive research exploring the use of BSF larvae to recycle organic materials as a means to protect the environment, while producing products of value, such as protein and bioenergy. Initial efforts were based on a BSF strain from the USA. However, since then, H. illucens strains from specimens collected in Hubei and Guangdong Provinces have been established and used as models to explore the use of this species in sustainable agriculture. China has played an instrumental role in developing an in-door breeding method using a quartz-iodine lamp rather than depend on natural sunlight. This discovery has allowed the establishment of in-door BSF colonies in regions throughout the world where abiotic conditions (i.e. cold temperatures) are preventative. Researchers in China paved the way for using microbes as a means to enhance BSF production including, enhancing BSF egg-laying as well as waste reduction. Furthermore, bacteria from BSF gut or waste can be cultured and used to promote BSF growth, shorten conversion time, and enhanced conversion efficacy. Recent efforts have demonstrated BSF larvae can degrade antibiotics as well as suppress noxious odours in livestock manure. Due to the efforts of research on BSF in China, numerous companies that recycle organic waste at a large scale (>20 tonnes waste digested/day), have been established. Resulting products include insect powder, and live BSFL that can be used as animal feed ingredients for livestock (e.g. eels and frogs), while protecting the environment. Future work will decipher the mechanisms regulating BSF larval conversion of organic waste so that the system can be optimised. However, efforts are still needed at the government level to establish quality assurance standards if this process is truly to become established as an industry in China.

An Applicative Survey on Few-Shot Learning

2021 ◽  
Vol 15 ◽  
Author(s):  
Jianwei Zhang ◽  
Xubin Zhang ◽  
Lei Lv ◽  
Yining Di ◽  
Wei Chen
Keyword(s):  
Large Scale ◽  
Representation Learning ◽  
Language Models ◽  
Data Sets ◽  
Research Directions ◽  
Large Scale Data ◽  
Cross Domain ◽  
Meta Learning ◽  
Definition Of ◽  
Future Work

Background: Learning discriminative representation from large-scale data sets has made a breakthrough in decades. However, it is still a thorny problem to generate representative embedding from limited examples, for example, a class containing only one image. Recently, deep learning-based Few-Shot Learning (FSL) has been proposed. It tackles this problem by leveraging prior knowledge in various ways. Objective: In this work, we review recent advances of FSL from the perspective of high-dimensional representation learning. The results of the analysis can provide insights and directions for future work. Methods: We first present the definition of general FSL. Then we propose a general framework for the FSL problem and give the taxonomy under the framework. We survey two FSL directions: learning policy and meta-learning. Results: We review the advanced applications of FSL, including image classification, object detection, image segmentation and other tasks etc., as well as the corresponding benchmarks to provide an overview of recent progress. Conclusion: FSL needs to be further studied in medical images, language models, and reinforcement learning in future work. In addition, cross-domain FSL, successive FSL, and associated FSL are more challenging and valuable research directions.

Biology and Management of Inland Striped Bass and Hybrid Striped Bass

2013 ◽  
Keyword(s):  
South Carolina ◽  
Genetic Markers ◽  
Striped Bass ◽  
Large Scale ◽  
Cost Effective ◽  
Parentage Analysis ◽  
Stock Identification ◽  
Genetic Population ◽  
Ashley River ◽  
Tagging Methods

<em>Abstract</em>.—The emerging use of genetic markers for stock identification is advantageous as this technique utilizes an inherent permanent mark, it eliminates stress associated with conventional tagging methods, and mark recovery is nonlethal. In controlled experiments, increased accuracy and reliability have been demonstrated with genetic tags, as compared to other commonly used markers. While a variety of genetic markers exist for fish identification, microsatellites are preferred because of their polymorphic nature and versatile use, including identification of population structure, measures of genetic diversity, and parentage analysis. Microsatellites provide a cost-effective tool for a variety of applications, including their use in complex experimental designs, as well as responsible genetic population management. We provide examples of the use of microsatellites as genetic tags in South Carolina striped bass <em>Morone saxatilis</em>, describing an experimental restoration effort in the Ashley River and a large-scale stock enhancement effort for the Santee-Cooper reservoirs.

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