Psychologist's Provider Network.

2000 ◽  
Author(s):  
Keyword(s):  
Provider Network

4th Time DUI Provider Network Releases 2nd Quarter Stats

2006 ◽  
Author(s):  
Charles Bartlett ◽  
Stacy Chamberlain
Keyword(s):  
Provider Network

Understanding Patterns of Socioeconomic and Demographic Factors Along With Health Services Provider Availability for Zika Outbreak in South Florida

2017 ◽  
Vol 12 (4) ◽  
pp. 455-459
Author(s):  
Linda McQuade ◽  
Mya Rao ◽  
Roger Miller ◽  
Winnie Zhou ◽  
Rinku Deol ◽  
...  
Keyword(s):  
Health Services ◽  
Demographic Factors ◽  
South Florida ◽  
Consumer Information ◽  
Dade County ◽  
Provider Network ◽  
Public Provider ◽  
Level Data ◽  
Machine Readable ◽  
Socioeconomic And Demographic Factors

AbstractIn this study, we analyzed the patterns of socioeconomic and demographic factors along with health services provider availability for the current Zika outbreak in Miami-Dade County, South Florida. We used Center for Consumer Information & Insurance Oversight (CCIIO) Machine-Readable Public Use Files (MR-PUFs) to examine provider availability in combination with socioeconomic and demographic factors that could potentially lead to healthcare disparities between any underserved population of the Wynwood neighborhood and the broader population of Miami-Dade County. MR-PUFs contain public provider-level data from states that are participating in the Federally Facilitated Marketplace. According to CCIIO, an issuer of a Qualified Health Plan that uses a provider network must maintain a network that is sufficient in the number and types of providers, including providers that specialize in mental-health and substance-use disorder services, to assure that all services will be accessible to enrollees without unreasonable delay. (Disaster Med Public Health Preparedness. 2018;12:455–459)

scholarly journals Resource-Aware Network Topology Management Framework

2020 ◽  
Author(s):  
Aaqif Afzaal Abbasi ◽  
Shahab Shamshirband ◽  
Mohammed A. A. Al-qaness ◽  
Almas Abbasi ◽  
Nashat T. AL-Jallad ◽  
...  
Keyword(s):  
Network Reliability ◽  
Service Level ◽  
Cloud Infrastructure ◽  
Topology Management ◽  
Management Framework ◽  
Provider Network ◽  
Computing Services ◽  
Cloud Infrastructures ◽  
Resource Aware ◽  
Path Computation Element

Cloud infrastructure provides computing services where computing resources can be adjusted on-demand. However, the adoption of cloud infrastructures brings concerns like reliance on the service provider network, reliability, compliance for service level agreements (SLAs), etc. Software-defined networking (SDN) is a networking concept that suggests the segregation of a network’s data plane from the control plane. This concept improves networking behavior. In this paper, we present an SDN-enabled resource-aware topology framework. The proposed framework employs SLA compliance, Path Computation Element (PCE) and shares fair loading to achieve better topology features. We also present an evaluation, showcasing the potential of our framework.

Abstract 282: Assessing Levels of Active Participation through a VA Provider Network to Improve Quality of Care for Veterans with Heart Failure

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Anju Sahay ◽  
Paul Heidenreich
Keyword(s):  
Heart Failure ◽  
Quality Of Care ◽  
Active Participation ◽  
Teaching Hospitals ◽  
Evidence Based Practices ◽  
Provider Network ◽  
Participation Level ◽  
Level Data ◽  
Facility Level

Objective: The goal of the Dept. of Veterans Affairs (VA) Chronic Heart Failure (CHF) QUERI program is to improve the quality of care for heart failure (HF) patients and implement evidence-based practices throughout the VA system. One strategy to achieve this goal was to create a VA heart failure provider Network which occurred in 2006. We sought to characterize provider participation in this mature network. Method: We tracked all members of the HF Network including their title, location at one of 144 VA facilities; date joined and if applicable, date left the HF Network. We considered the following activities to be evidence of “active” participation: attended a web-based meeting or the annual in-person meeting, requested meeting materials, or completed a periodic survey of providers. Participation of all other members is considered “passive”. For this project we assessed each facility’s level of participation in the HF Network from July 2006 till June 2013 (7 years). Facility participation level was characterized as “None” (no member at that facility with active participation), “Low” (at least one member at that facility attended 1-2 activities) and “High” (at least one member at that facility participated in ≥3 activities). Data were linked to existing facility-level data that included presence of an HF clinic, cardiac cath lab, use of pharmacist, bed size, membership in Council on Teaching Hospitals (COTH), and presence of an Accredited Graduate Medical Education (ACGME) program. Results: Altogether, 1205 providers have participated in the HF Network. As of June 2013, 987 providers from 144 VA facilities participate in this network. They include VACO leadership (1%), VISN leadership (4%), facility leadership (9%), Chiefs of Cardiology (7%), staff physicians (32%), nurses (28%), pharmacists (5%) and others (14%). Participation at the facility-level has increased from 2008 (None=37, Low=43 and High=64) to 2013 (None=8, Low=16 and High=120, (p <0.001). High participating facilities were more likely to be classified as tertiary (p <.016), COTH members (p <0.001), having ACGME programs (p <0.001), and located in the West or Southeast United States (p =.03). High participating facilities are also more likely to have a HF clinic (p <0.001), a cardiac catheterization lab (<0.001), and use a pharmacist in routine HF care (p <.03). Conclusions: Involvement and active participation in the VA HF Network has grown and is more likely at academic facilities and those providing more intensive services.

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