Applying System-Level Performance Measures and Targets in the Detroit, Michigan, Metropolitan Planning Process

In current literature and practices, there are no systematic and user-oriented intermodal transportation performance measures. After identifying customer needs and transportation goals, this paper proposes a set of system-level performance measures for intermodal transportation that are user-oriented, scalable, systematic, and scientific. The measures can be used to compare intermodal design alternatives or to evaluate existing transportation systems with any size and any mode. The highway system in Mississippi is analyzed as a case study. The case study demonstrates the existing data sources, the methods of calculating the measures, and the means of evaluating transportation systems with the measures.

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Development of System-level Performance Measures for Evaluation of Models of Care for Inflammatory Arthritis in Canada

The Journal of Rheumatology ◽

10.3899/jrheum.150839 ◽

2016 ◽

Vol 43 (3) ◽

pp. 530-540 ◽

Cited By ~ 33

Author(s):

Claire E.H. Barber ◽

Deborah A. Marshall ◽

Dianne P. Mosher ◽

Pooneh Akhavan ◽

Lori Tucker ◽

...

Keyword(s):

Performance Measures ◽

Inflammatory Arthritis ◽

Waiting Times ◽

Models Of Care ◽

System Level ◽

Allied Health Professionals ◽

Modified Delphi ◽

Timely Access ◽

Care Systems ◽

Level Performance

Objective.To develop system-level performance measures for evaluating the care of patients with inflammatory arthritis (IA), including rheumatoid arthritis (RA), psoriatic arthritis, ankylosing spondylitis, and juvenile idiopathic arthritis.Methods.This study involved several methodological phases. Over multiple rounds, various participants were asked to help define a set of candidate measurement themes. A systematic search was conducted of existing guidelines and measures. A set of 6 performance measures was defined and presented to 50 people, including patients with IA, rheumatologists, allied health professionals, and researchers using a 3-round, online, modified Delphi process. Participants rated the validity, feasibility, relevance, and likelihood of use of the measures. Measures with median ratings ≥ 7 for validity and relevance were included in the final set.Results.Six performance measures were developed evaluating the following aspects of care, with each measure being applied separately for each type of IA except where specified: waiting times for rheumatology consultation for patients with new onset IA, percentage of patients with IA seen by a rheumatologist, percentage of patients with IA seen in yearly followup by a rheumatologist, percentage of patients with RA treated with a disease-modifying antirheumatic drug (DMARD), time to DMARD therapy in RA, and number of rheumatologists per capita.Conclusion.The first set of system-level performance measures for IA care in Canada has been developed with broad input. The measures focus on timely access to care and initiation of appropriate treatment for patients with IA, and are likely to be of interest to other arthritis care systems internationally.

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System Level Performance Measures of Recovery

PsycEXTRA Dataset ◽

10.1037/e548622012-001 ◽

2003 ◽

Author(s):

Steven Onken ◽

Jeanne Dumont ◽

Priscilla Ridgeway ◽

Doug Dornan ◽

Ruth Ralph

Keyword(s):

Performance Measures ◽

System Level ◽

Level Performance

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A population‐based approach to reporting system‐level performance measures for rheumatoid arthritis care

Arthritis Care & Research ◽

10.1002/acr.24178 ◽

2020 ◽

Author(s):

Claire E.H. Barber ◽

Deborah A. Marshall ◽

Elena Szefer ◽

Cheryl Barnabe ◽

Natalie J. Shiff ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Performance Measures ◽

Reporting System ◽

Population Based ◽

System Level ◽

Level Performance

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On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows

The International Journal of High Performance Computing Applications ◽

10.1177/1094342019841681 ◽

2019 ◽

Vol 33 (6) ◽

pp. 1140-1158 ◽

Cited By ~ 3

Author(s):

Ana Gainaru ◽

Hongyang Sun ◽

Guillaume Aupy ◽

Yuankai Huo ◽

Bennett A Landman ◽

...

Keyword(s):

Performance Measures ◽

Data Centers ◽

Large Data ◽

Large Data Sets ◽

System Level ◽

Data Sets ◽

Data Set ◽

System Utilization ◽

Average Stretch ◽

Level Performance

Scientific insights in the coming decade will clearly depend on the effective processing of large data sets generated by dynamic heterogeneous applications typical of workflows in large data centers or of emerging fields like neuroscience. In this article, we show how these big data workflows have a unique set of characteristics that pose challenges for leveraging HPC methodologies, particularly in scheduling. Our findings indicate that execution times for these workflows are highly unpredictable and are not correlated with the size of the data set involved or the precise functions used in the analysis. We characterize this inherent variability and sketch the need for new scheduling approaches by quantifying significant gaps in achievable performance. Through simulations, we show how on-the-fly scheduling approaches can deliver benefits in both system-level and user-level performance measures. On average, we find improvements of up to 35% in system utilization and up to 45% in average stretch of the applications, illustrating the potential of increasing performance through new scheduling approaches.

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Evaluating quality of care for rheumatoid arthritis for the population of Alberta using system-level performance measures

The Journal of Rheumatology ◽

10.3899/jrheum.200420 ◽

2020 ◽

pp. jrheum.200420

Author(s):

Claire E. H. Barber ◽

Diane Lacaille ◽

Peter Faris ◽

Dianne Mosher ◽

Steven Katz ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Performance Measures ◽

Case Definition ◽

National Standards ◽

System Level ◽

Standards Of Care ◽

One Year ◽

Incident Cases ◽

Level Performance

Objective We evaluated 4 national rheumatoid arthritis (RA) system-level performance measures (PMs) in Alberta, Canada. Methods Incident and prevalent RA cases ≥ 16 years of age since 2002 were identified using a validated case definition applied in provincial administrative data. Performance was ascertained through analysis of health data between fiscal years 2012/13-2015/16. Measures evaluated were: proportion of incident RA cases with a rheumatologist visit within one year of first RA diagnosis code (PM1); proportion of prevalent RA patients dispensed a disease modifying anti-rheumatic drug (DMARD) annually (PM2); time from first visit with an RA code to DMARD dispensation, and proportion of incident cases where the 14-day benchmark for dispensation was met (PM3); and proportion of patients seen in annual follow-up (PM4). Results There were 31566 prevalent and 2730 incident RA cases (2012/13). Over the analysis period, the proportion of patients seen by a rheumatologist within 1 year of onset (PM1) increased from 55 to 63%; however, the proportion of RA patients dispensed DMARDs annually (PM2) remained low at 43%. While the median time to DMARD from first visit date in people who received DMARDs improved over time from 39 to 28 days, only 38-41% of patients received treatment within the 14-day benchmark (PM3). The percentage of patients seen in yearly follow-up (PM4) varied between 73-80%. Conclusion The existing Alberta health care system for RA is suboptimal, indicating barriers to accessing specialty care and treatment. The results inform quality improvement initiatives required within the province to meet national standards of care.

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